Episode 3 Britain's Hardest Workers: Inside the Low Wage Economy


Episode 3

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In Britain, more than 5 million people are now in low-paid work.

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I am left with ?12.76 every single week.

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Some weeks, I'm just really struggling.

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I have to borrow, in fact, off people.

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Whether we're unskilled workers, graduates or aged 50 or over,

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many of us could have a future in low pay.

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Everybody is vulnerable.

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Work is the new poor.

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With zero-hour contracts, automation and global competition,

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employees need to be more adaptable than ever before.

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There's losers in any transition period.

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The question is what do you do to make sure that some of the losers

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don't fall through the cracks.

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So, how tough are these jobs and can anyone do them?

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20 people, all proud of their work ethic...

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I'm a grafter, I've always been a grafter.

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I don't ever believe anything is above me or below me.

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Money doesn't just come to you, you've got to go out and get it.

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..are taking part in a unique experiment.

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I'm your factory manager for the next ten days.

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They're putting themselves to the test,

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trying out a range of low-paid jobs in real British workplaces...

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So, that's what we're trying to achieve.

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Better crack on then, hadn't we?

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I thought it was going to be easy.

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..and in a specially-constructed factory.

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I'll get there. I knew it would be a slow start, but I'll get there.

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Facing an uncertain future in the job market...

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I want to prove to myself how hard a worker I can be.

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I'm taking part to show that there are hard-working people out there.

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..they'll discover what skills you need to survive

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in today's low-paid jobs.

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I don't understand.

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No. Sorry.

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It's squirting everywhere.

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And just like in the real jobs market, it's competitive...

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Jesus. ..with the least productive worker being laid off

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after every shift...

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The shift is finished.

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..until we're left with the most adaptable

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and most resilient worker of all.

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Over the last four days,

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the workers have taken on jobs from across the low-wage economy.

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KNOCK ON DOOR Housekeeping.

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Boy, this one is a mess.

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They've seen what it's like to be part of an invisible workforce...

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In fact, pigs are probably cleaner than this.

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..from the working conditions...

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It's smelly, dusty, I can get some disease from that.

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..to the targets they're expected to meet.

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Faster, faster, faster, faster.

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It sounded really easy, same as all the tasks, but it's actually not.

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And they've learned how in this world...

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Oh, no.

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All of that product might now have to be rejected.

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..you're only as good as your last day's work.

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Let me a little bit for a few minutes.

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I'm afraid you're going to have to leave.

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Now the nine remaining workers are going to have to enter

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one of the newest and most talked-about business sectors -

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e-commerce.

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Us Brits spend more online per head

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than any other developed nation.

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Last year, we spent more than ?40 billion.

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Now, to cope with our ever-increasing demand

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of next-day delivery,

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quality guarantees and bargain prices,

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there's an army of low-paid workers.

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To keep up with our increasing orders,

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online global giants like Amazon

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have built massive warehouses

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in the UK,

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capable of shipping over 2 million items a day.

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But to make sure that staff working in those warehouses

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as pickers and packers are fast and accurate,

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their work rates are continuously monitored.

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It has lead to headline stories and controversy.

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How much pressure can companies place on workers?

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And what's it like to work in a hi-tech warehouse

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where every move you make is being watched by the boss?

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That's what we want our workers to find out,

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so they're off to do a shift at an online retailer in Sheffield.

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I'm nervous, cos I don't even know what to expect,

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cos I've never done this job before.

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And for the first time in the experiment so far,

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they won't be working in teams.

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I think the opportunity today to work individually

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will be good to see just how strong

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mentally and emotionally I can handle it.

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Today, the workers will be trying out their next low-paid job

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at a multi-million pound online grocery business...

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Good morning, everyone.

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..where they'll be managed by its founder, Dan Cluderay.

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I started this business eight years ago.

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We're now sending out 45,000 to 50,000 items every single day.

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I'm putting my business in your hands.

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So - picking, packing, you've got to do this with speed,

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but most important - quality.

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Keep keen, keep lean, but be smart.

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Come on, follow me.

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After being made redundant,

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40-year-old Dan spotted a gap in the market.

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He'd take food nearing its best before date,

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buy it at a discount and sell it on to bargain hunters.

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Now the business is six years old,

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worth millions and is reaching customers in the UK

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and across Europe.

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To keep up with customer orders,

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Dan employs a team of 25 pickers and packers,

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who all start on minimum wage.

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Our customers expect next-day.

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They're not bothered about what happens in this building.

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They just want it delivered.

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It's absolutely crucial that these pickers work at the speed we need.

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They have to get it right and they have to be quick.

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Dan's developed a computer system

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to process orders and run the warehouse.

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The trolleys are loaded with separate trays for each customer.

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The computer plans the quickest route down the aisle

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and tells the picker what items to collect

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and which tray to put them in.

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The packers then box up the orders, ready for dispatch.

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The workers are about to do a four-hour shift,

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picking and packing.

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On-screen, it tells you where to go next

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and it tells you what to do.

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In warehouse work, as in other sectors,

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the use of technology is increasing.

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And to be able to do these jobs,

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you have to be able to get to grips with it.

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You'll have to really get in here to go and see this.

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So, with Capri-Sun, it'll say to go to 13 A3

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and to get one Capri-Sun.

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The picture that you see is the product that you're going to pack.

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SCANNER BEEPS

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Before doing it for real,

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the workers have a trial run to see how the system works.

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What do you do?

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You scan your item and then scan your tray.

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This is really confus... I thought it was going to be easy.

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Now, if you press... Yeah. That's it.

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And now you scan the tray.

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Warehouse worker Majka and graphic designer Leon

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have both used this type of technology,

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so they're finding it easier to understand the system.

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Every crate is organised - A, B, C, D...

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And when it tells you B,

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you need to know exactly where it is to be more efficient,

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you need to know that inside out.

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The computer tells them which item to pick and once it's scanned...

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SCANNER BEEPS ..which tray to put it in.

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If they scan the wrong product or the wrong tray,

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the system won't allow them to move on to the next item.

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We're like robots then...

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doing all this.

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For ex-mortgage adviser Judy, this technology is all new.

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It wouldn't scan the new tray,

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so I thought maybe they hadn't finished the picking,

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so I put it in a different tray and it still wouldn't scan it.

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And working with a computerised system

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is completely different for agency chef Stephanie.

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That's it, order complete.

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I'm getting my process fixed in my head.

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Gentleman making approving signs

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so thinks that I might...

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I've got potential.

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Just got to get going.

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Training over.

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The workers now have two hours to see how close they can get

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to the company's target pick rates.

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Right, guys, this is it, off you go.

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Rob, move your bloody tray, mate.

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SHE CHUCKLES

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These first few minutes are going to be the ones

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of where they're going to be flapping, you know,

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"Am I doing it right?"

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Ah!

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HORN BEEPS

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I've done something wrong then. Yeah.

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Oh, two of them. Oh, goodness me.

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The computerised trolleys don't just show the pickers

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what items to select,

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the onboard system also records how fast they're working

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and sends the data back to Dan.

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As these scans happen,

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we're going to see this data fall live into the system.

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So I can see from my computer exactly where everybody is.

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The scanning right now -

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Leon's took an early lead with four items

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that he's scanned into his basket.

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But over the next ten-minute period,

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we're going to get a feel for how people are going.

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So how does Dan's monitoring system work?

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How does he see who's on target and who's not?

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What am I looking at here?

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So, we've created a system where we can monitor, in ten-minute segments,

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the productivity of all our workers throughout the entire day.

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Green - it's meaning that they're going really well.

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Blue - that's acceptable.

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But if I start seeing people in reds and oranges,

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that performance is low.

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Looking at it like this, it seems very cold,

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it's quite calculating,

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it's ten minutes, ten minutes, ten minutes.

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These are human beings who are doing a job.

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Does it...

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Do they appreciate this?

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Is it working for them? I think so, I think so.

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Because what use is it that I tell someone at the end of the day,

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"You've been no good today"?

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We developed this, not to bash people over the head.

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As an employer, it just gives you the workability

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to give merit to people.

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Someone can say, "Have you seen what I've done over the six months?"

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"Yes, I can see everything you've done.

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"I can see absolutely everything." Yeah.

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And how is your productivity? We are...

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Are you hitting targets?

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Are you where you want to be?

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We are achieving pick rates

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in excess of 500 to 600 items

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per hour per person.

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We developed it, cos as a business, if you want to be lean,

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if you want to be productive

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and keep up with the Amazons of the world,

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this is what you've got to do.

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Dan's system means that his workers have a pick rate target

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of almost ten items a minute.

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Our novice workers' target is half that.

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(Sugar! Sugar, sugar, sugar.)

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But so far, none of them are getting anywhere near.

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Oh, BLEEP. This is meant to be...

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Oh, it's not. OK, 21 E1.

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It becomes really interesting to see who is performing, you know?

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Who's having a good time? Why are they having a bad time?

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What's the reasons why?

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It's hard to perform when you know that someone's watching you.

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I guess there's a reason why they do it,

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but it can get people off-guard

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and I would say it's really under pressure.

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I think it's a good management tool.

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If you're falling behind, at least someone else knows

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that you're falling behind and they can tell you

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where you're going wrong and how to work harder.

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In previous jobs where I've worked,

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where it's target driven,

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the person who had done the least that day would buy the drinks.

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It's not that I want to put pressure on them.

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It almost becomes a bit like a game.

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Using monitoring data to incentivise workers

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to compete against each other

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is an increasing trend and productivity becomes a game

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they can either win or lose.

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Professor Kirstie Ball has been studying how companies

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use competition in the workplace.

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What's gamification?

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So, gamification is where management

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use elements of gameplay

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in the way that they organise work.

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So that would be things like league tables, point systems,

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tournaments, that kind of thing.

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It's been much hyped, I suppose, in the management press.

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I mean, does gamification work?

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The people who really push it,

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the proponents of it, they say it engages employees better.

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So if you gamify something, you make it fun,

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you bring an element of competition, you know,

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with your peers and so on, and this can be really engaging.

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Can there be a negative side to it?

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There can be a negative side to it,

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because not everybody responds well

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to the whole carrot and stick approach that you get in a game.

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People learn in different ways,

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people absorb information and take things on board in different ways.

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So it doesn't work for everybody.

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And for those people,

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it can actually be quite alienating and disengaging.

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So it splits opinion.

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I think, like monitoring,

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it really needs to be applied in conjunction

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with a whole bunch of other things.

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What do you think the future of monitoring will be?

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Is it something we need to be worried about?

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Monitoring and the way it's done

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says a lot about how the company views its employees.

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If you retain the right as an employer to hire and fire people

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on the basis of monitoring statistics

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and monitored performance alone,

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that really is questionable in terms of the ethicality of that practice.

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And do you think there's room for that to happen?

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Do you think that is happening? It does happen.

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It happens in places like call centres

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where the work is outsourced.

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So, you have a set of employees working in a team,

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answering calls from an outside client

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and the client can demand a particular level of performance

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and if the employee does not offer that performance,

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yes, they can be shown the door.

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Back at the warehouse and Dan's noticed a sharp drop

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in productivity with one of the workers.

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Bulgarian-born Martin has done a lot of low-paid jobs

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since moving to the UK four years ago.

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But today, he's finding the combination of English

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and technology difficult. OK...

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Calm down. Calm down.

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6...13B.

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Honestly, I'm not feeling very confident,

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but I will try to be as quick as I can.

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To make sure that I'm picking up the right stuff.

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Martin's scanning the wrong trays

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and the computer won't allow him to move on.

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You've got your trays muddled up.

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So Dan sent one of his pickers over to sort it out.

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So 41948.

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Hi, Scott. Have we got to the bottom of it?

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Yeah, I think what's happened is the trays have got muddled up.

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Swapping the trays, I don't think it's my fault, because...

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We ship out 45,000 items a day and we don't have this problem,

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but we seem to be having it with you, Martin.

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But what we need to do is just move on from this now,

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we've got it right and you can do this.

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OK? Great stuff, mate, keep going.

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21 D1.

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An hour into their shift and Majka and Leon

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are already hitting the target of five items a minute.

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They've done this type of work before,

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so they're used to the combination of physical and technical work

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and they're able to deal with the pressure of being monitored.

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In my warehouse, I've been quite used to

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if someone check how much I done.

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When they told us, for me, it's more motivation

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to make my work better.

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So, for me, that is like small kick in my arse

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to keep together and try the best what I can.

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So far, who's at the bottom?

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Rob down here - he's found a pace, but it's the wrong pace.

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He's just at the wrong speed.

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He's consistently flat.

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It's taken him three minutes to pick one product

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which, in all honesty, is terrible.

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I need to talk to Rob.

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That's all I've done so far,

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so not great.

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Better carry on. HE CHUCKLES

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Working in a warehouse is very different to the career Rob had

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as a graphic designer.

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I had some pretty amazing jobs.

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I actually worked in special effects on Superman 1

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and also the James Bond film Moonraker.

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It was quite a glamorous lifestyle, really,

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and being the sort of person I am, I liked earning decent money.

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I spent it all because that's how I am,

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that's my character.

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If I've got something, I'll get rid of it.

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So I haven't got it left now.

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But gradually, the design contracts petered out

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and Rob had to look for other kinds of work,

0:17:030:17:06

much of it in the low-paid sector.

0:17:060:17:08

The worst job I had was cleaning trains,

0:17:080:17:11

because you had to get underneath them

0:17:110:17:14

and clean the underside of the train.

0:17:140:17:17

It's all thick with grease and it all falls on top of you,

0:17:170:17:20

it was pretty awful.

0:17:200:17:22

Pay for that job was more or less minimum wage,

0:17:220:17:25

slightly over, but not a lot.

0:17:250:17:28

Rob needs to work, but finding the right job is proving difficult.

0:17:280:17:32

I think it's quite a challenge when you're getting a bit older,

0:17:320:17:36

you can't do some of the jobs you might have been able to do

0:17:360:17:38

when you were in your 20s.

0:17:380:17:40

You don't see any 40-year-old footballers, do you?

0:17:400:17:43

All right there, Rob,

0:17:460:17:48

I just wanted to give you an update of where we're at. OK.

0:17:480:17:51

Right now you're at the bottom, that's where it is at now.

0:17:520:17:56

So, in this next hour now,

0:17:560:18:00

what you're doing at the rate,

0:18:000:18:02

we just need to step it up.

0:18:020:18:04

You can become the leader in this next hour.

0:18:040:18:07

So, just get cracking and move on.

0:18:070:18:09

All right, pal? OK.

0:18:090:18:11

It's disappointing to know you're the slowest.

0:18:110:18:15

I'm 63, oldest one here

0:18:150:18:19

and you've got these youngsters,

0:18:190:18:20

they've been playing computer games since they were two years old.

0:18:200:18:24

I'm very computer literate, you know, I do computer graphics,

0:18:240:18:27

yet I'm right at the bottom.

0:18:270:18:29

So, what is the situation facing workers aged 50 and over?

0:18:330:18:37

Will a growing number find themselves looking for low-paid jobs

0:18:370:18:40

and having to adapt to a very different labour market?

0:18:400:18:44

Economist Chris Giles has been looking at the trends.

0:18:440:18:47

Are we seeing an older workforce doing low-pay work?

0:18:470:18:51

We're seeing a huge increase in work among older people.

0:18:510:18:55

Some of that is because older people,

0:18:550:18:57

when they're in their 60s and early 70s, don't feel that old

0:18:570:19:00

and actually like work,

0:19:000:19:02

but some of it is because pensions are quite low

0:19:020:19:05

and they've been disappointed

0:19:050:19:07

in what their private pensions are producing.

0:19:070:19:10

Now, I don't think we're seeing

0:19:100:19:12

a lot of that disappointment quite yet.

0:19:120:19:13

The group of pensioners who are retiring right at the moment

0:19:130:19:16

are the most wealthy and richest pensioners we've ever had.

0:19:160:19:22

Ten, 15 years' time,

0:19:220:19:23

when people in their late 40s and 50s now get to retirement age,

0:19:230:19:28

they will have much worse pension rights

0:19:280:19:30

than the current crop of retirees

0:19:300:19:33

and I think we're going to see a lot more of that then.

0:19:330:19:35

So I think the rate of employment among over 65s

0:19:350:19:39

is only going to rise and rise really quite rapidly still.

0:19:390:19:42

Is that going to be a problem?

0:19:420:19:44

I think it's a problem if people are in work

0:19:440:19:48

that they really don't like

0:19:480:19:50

or if it's heavily physical work when they're older and frailer.

0:19:500:19:54

So, there are potential problems, but also, I think,

0:19:540:19:57

work is actually something that lots of people enjoy doing.

0:19:570:20:00

So, so long as people have the ability, in some ways,

0:20:000:20:03

to choose the sorts of work they do and have a nice experience

0:20:030:20:07

in the workforce, then I don't see a big problem

0:20:070:20:09

in older people working at all.

0:20:090:20:11

Back at the warehouse,

0:20:140:20:15

the workers have been picking for an hour and a half

0:20:150:20:18

and Dan's seeing an increase in productivity.

0:20:180:20:20

So something has just happened in the last ten minutes.

0:20:200:20:23

Sabrina's been struggling for the first part of the morning,

0:20:230:20:26

but she's just clicked into gear.

0:20:260:20:28

We've just seen her now hit the first green ten-minute period.

0:20:310:20:35

Let's see if she can do the next ten minutes just the same.

0:20:360:20:40

And casual farm hand Berwyn, whose future in farming is uncertain...

0:20:400:20:45

Two of these from location D - hand-picked.

0:20:450:20:48

..is showing potential.

0:20:480:20:49

Berwyn's, you know, now starting to hit greens, which is great.

0:20:500:20:54

That means he's at the same level as my workers have been here,

0:20:540:20:57

what I would expect from those.

0:20:570:20:59

To be honest, I'm feeling quite proud of myself.

0:20:590:21:02

My worries were the technology, but I am succeeding.

0:21:020:21:05

It's not in B4. It's not in B4.

0:21:050:21:08

It's not in B4.

0:21:080:21:10

But not everyone's managed to get faster.

0:21:100:21:13

"Park item. Take action."

0:21:130:21:16

Judy's in a bit of a world of pain at the moment,

0:21:160:21:18

because she's making mistakes, I think she's getting confused.

0:21:180:21:22

BLEEP BLEEP! I don't understand. They're not here.

0:21:220:21:25

62-year-old Judy was a highly-experienced

0:21:290:21:32

financial manager,

0:21:320:21:33

but since being made redundant four years ago,

0:21:330:21:35

she's struggled to find similar work.

0:21:350:21:37

I'd been in finances for a long time

0:21:380:21:41

and this was very hard-hitting for me.

0:21:410:21:43

I didn't know what else I could do and also with my age,

0:21:430:21:47

I was no longer in my 20s and 30s now, I was now sort of 40s, 50s,

0:21:470:21:51

it was getting more difficult to compete with the young crowd.

0:21:510:21:54

With her white-collar prospects in doubt,

0:21:550:21:57

taking part in the experiment is a chance for Judy

0:21:570:22:00

to explore other options.

0:22:000:22:02

Look, guys, you're supposed to tell me, not just let me go.

0:22:040:22:08

Over the past four days...

0:22:080:22:09

It's very strenuous, it's very hard.

0:22:090:22:11

..she's been challenged physically...

0:22:110:22:13

It's a bit daunting, I'm daunted.

0:22:130:22:15

..emotionally...

0:22:150:22:17

Totally, totally, you know, out of order.

0:22:170:22:20

..and mentally.

0:22:200:22:21

The only difficulty I have with computers is that

0:22:230:22:25

they're advancing so fast, I can't keep up with it.

0:22:250:22:28

When I sit in front of my computer, I'm thinking,

0:22:280:22:31

"What does that key do or what does this key do?"

0:22:310:22:33

I feel inadequate.

0:22:330:22:34

How do you know there's two?

0:22:340:22:36

Because it's already said there was two. Oh.

0:22:360:22:39

"Pre-picked fail. Cannot scan item with no barcode."

0:22:410:22:44

It had a barcode.

0:22:440:22:47

Sugar, sugar, sugar.

0:22:470:22:49

57-year-old agency chef Stephanie is one of the slowest pickers.

0:22:500:22:54

She thought she'd got the hang of the job in training,

0:22:540:22:57

but the reality is proving very different.

0:22:570:23:00

C. Why don't you like that?

0:23:000:23:03

A, B, C - you've got five in.

0:23:030:23:06

Come on.

0:23:080:23:10

SHE SIGHS

0:23:110:23:13

Our employees tend to be in their 20s, early 30s and, you know,

0:23:130:23:18

they like to be on top of those scoreboards.

0:23:180:23:20

They've grown up playing computer games and, you know,

0:23:200:23:23

we're kind of plumbing into that a little bit, because there is, like,

0:23:230:23:26

an incentive to be at the top.

0:23:260:23:28

I'm not saying everybody's leaving work high-fiving each other,

0:23:280:23:31

saying they've had a great time, but it's just a little more fun,

0:23:310:23:34

"Who is going to be at the top of that list?"

0:23:340:23:35

Right, I need to focus now.

0:23:380:23:40

In the final ten minutes of picking,

0:23:410:23:44

everyone tries to up their speed to get as many items as possible.

0:23:440:23:47

30 B1.

0:23:500:23:52

Yes. Come on.

0:23:520:23:55

Right, guys, that's it.

0:23:560:23:58

We're over, the shift has finished, so put down what you're doing.

0:23:580:24:01

SCANNER BEEPS Done.

0:24:010:24:03

The workers have picked for two hours.

0:24:040:24:07

My brain and... It's really tired.

0:24:070:24:10

It looks easy, but when you start doing it,

0:24:100:24:13

it's not that easy,

0:24:130:24:15

and when you're under pressure...

0:24:150:24:18

..it's not easy at all.

0:24:190:24:21

They've completed a quarter of a regular shift.

0:24:210:24:24

I'm actually tired.

0:24:260:24:28

You could assume that it was literally just picking

0:24:280:24:31

things of a shelf like a shopping list

0:24:310:24:33

and just put it into a basket,

0:24:330:24:36

but you do need to actually have a lot more concentration.

0:24:360:24:39

Now, they'll be packing...

0:24:400:24:43

I find it easier if you use a knife, because it's faster.

0:24:430:24:48

..and the workers will be trained by expert packer Diane,

0:24:480:24:52

who will show them how to box up customer orders

0:24:520:24:54

so they can be sent out by post and arrive in perfect condition.

0:24:540:24:58

So, as you're packing, anything like this has to be taped.

0:24:590:25:03

All your jars have to be bubble-wrapped.

0:25:040:25:06

OK.

0:25:060:25:07

If you have quite a few jars, you need to use a divider.

0:25:070:25:11

Right. These are dividers, yeah?

0:25:110:25:15

To avoid refunds, it's crucial there are no breakages

0:25:160:25:20

and no items missed.

0:25:200:25:21

Shipping around 45,000 items a day,

0:25:210:25:24

Dan's team achieve over a 99.9% success rate,

0:25:240:25:28

and that's what he expects of the workers.

0:25:280:25:31

You don't put tins, anything ever, you don't put with crisps.

0:25:330:25:37

It's going to squash, going to break,

0:25:370:25:39

then they're going to be no good.

0:25:390:25:42

Processing up to 600 orders per day, packers also have to work at speed.

0:25:420:25:47

Dan expects them to box up an order every eight minutes,

0:25:470:25:50

and there's around 80 items in each order.

0:25:500:25:54

We're now going to be monitoring you every single second.

0:25:540:25:57

Right. So, good luck and let's get going, off we go!

0:25:570:26:00

I think you know I'm going to do a lot better in this one.

0:26:020:26:05

Pick it up, it won't bite.

0:26:050:26:07

Pick it up. Like that?

0:26:070:26:10

Scan it.

0:26:100:26:11

While Dan's supervisors are on hand

0:26:110:26:13

to make sure they're packing correctly...

0:26:130:26:16

Martin, it's all wrong. Hm?

0:26:160:26:19

This pop and biscuits together, no.

0:26:190:26:23

..once again, the computer system will record every item

0:26:230:26:26

the workers pack to measure their productivity.

0:26:260:26:29

Having a job where you're constantly monitored

0:26:310:26:34

can add a bit of pressure to your job.

0:26:340:26:37

I think I work well under pressure, most times.

0:26:370:26:40

Yeah, I like to get the job done and know that there's a target

0:26:400:26:43

to be reached, so I don't mind so much.

0:26:430:26:45

As someone who runs his own business,

0:26:470:26:49

fish and chip shop owner Stewart understands the value of monitoring.

0:26:490:26:53

Every job anybody does, at some stage, they have to be monitored.

0:26:530:26:57

You can't just walk in and do a job and expect people just to let you go

0:26:570:27:01

and do it without checking your work. It has to be done.

0:27:010:27:05

Without monitoring, you don't learn anything.

0:27:050:27:08

I'm just trying to use my logic.

0:27:090:27:12

In the first half, Judy struggled with picking,

0:27:120:27:15

so will she fare better as a packer?

0:27:150:27:17

Hey, Judy. How are you finding this part?

0:27:280:27:31

Horrible. Horrible?

0:27:310:27:32

I would have thought you'd be liking this. No.

0:27:320:27:34

What don't you like about? I'm not understanding the logistics

0:27:340:27:37

of how they pack and you can only go up to a certain time.

0:27:370:27:41

I'm sure that you're going to excel at this, right?

0:27:410:27:43

But based on what came from the previous job, on the picking,

0:27:430:27:47

I wouldn't be asking you back here tomorrow if you worked for me

0:27:470:27:50

based on what you did on that side.

0:27:500:27:52

This is your opportunity to excel. Was I that bad?

0:27:520:27:54

Was I that bad? You were in the lower two. Oh, my God.

0:27:540:27:57

But on this side, from here, this is where you can excel.

0:27:570:28:01

You know, you're dextrous, you're doing well, don't flap,

0:28:010:28:05

this is perfectly within your skill set to do. OK? OK.

0:28:050:28:08

Keep going, you're OK, keep going.

0:28:080:28:10

'I've tried my best, I thought I was better.'

0:28:110:28:13

Judy, seriously, let it motivate you.

0:28:130:28:15

They told me I was second to last.

0:28:150:28:18

Let it motivate you, keep going.

0:28:180:28:20

'I've been in financial sales for years

0:28:210:28:24

'and many people think that's stressful.'

0:28:240:28:26

But I've never had to think like that in a job,

0:28:260:28:28

where I have to think that I could be on the way out

0:28:280:28:31

or I'm about to lose my job and that they're watching me

0:28:310:28:33

every five minutes or every ten minutes,

0:28:330:28:35

it was just horrendous.

0:28:350:28:37

I just felt that pressure.

0:28:370:28:38

It's not helping me, I'm not having a good day, been told that.

0:28:400:28:42

What can I say?

0:28:420:28:44

You all right? Cracking up.

0:28:470:28:49

No, I'm cracking up. Are you finished? No.

0:28:490:28:51

Judy's 40 years older than most of Dan's warehouse staff,

0:28:510:28:55

and when they were picking,

0:28:550:28:57

the older workers were the least productive.

0:28:570:28:59

Is that OK there like that? Yeah.

0:29:000:29:03

So, how is Rob coping with this task?

0:29:030:29:05

I'm going to crush the crisps.

0:29:070:29:09

How are you finding it? OK.

0:29:090:29:12

Is it all right? Yeah. I've worked in a warehouse before.

0:29:120:29:15

When you would've started and you learnt this job inside out,

0:29:150:29:17

our target is 60 orders.

0:29:170:29:20

That's what you have to do in a day. Wow.

0:29:200:29:22

Do you think you could manage that? I'd work up to it.

0:29:220:29:25

You'd work up to it? Yeah. THEY CHUCKLE

0:29:250:29:28

You don't want to go too mad, do you?

0:29:290:29:31

I like to pace myself, you see.

0:29:320:29:34

What's Dan's computer system telling him

0:29:390:29:41

about how the others are getting on?

0:29:410:29:43

We're starting to see some people

0:29:450:29:47

who are just starting to edge in front.

0:29:470:29:49

It's quite close in this list.

0:29:490:29:52

I can see here that Majka's packed over 200 kilos within one hour.

0:29:520:29:56

She's level pegging with Leon with the amount of lines

0:29:560:29:59

that she's packed and over 677 items.

0:29:590:30:03

So, it really is going some.

0:30:030:30:05

But being monitored has also meant that other people have improved.

0:30:070:30:12

Martin's getting a bit more confident.

0:30:120:30:14

He's picking his speed up now.

0:30:140:30:15

It's getting interesting now, cos I can see this table levelling up

0:30:170:30:21

and I can see the people who are starting to click into gear.

0:30:210:30:24

Who's actually going to be the most productive?

0:30:240:30:26

It's completely fluid.

0:30:260:30:27

Stephanie, who was one of the slowest at picking, now knows

0:30:320:30:36

she's one of the fastest packers.

0:30:360:30:38

I like feedback, because it means

0:30:380:30:41

that I'm sort of thinking I'm doing OK.

0:30:410:30:45

Now I know I'm doing OK.

0:30:460:30:48

I've got sweat on my brow and I'm effective.

0:30:480:30:52

I am a happy bunny. SHE LAUGHS

0:30:520:30:55

Now it's a final race to the finish.

0:30:550:30:58

Oh, you're joking.

0:31:020:31:04

Everything fell out of my box.

0:31:040:31:06

No, I'm not hitting it.

0:31:060:31:07

Right, guys, that's it.

0:31:160:31:17

We're over, the shift has finished, so put down what you're doing.

0:31:170:31:21

For the past five hours,

0:31:210:31:23

the speed and accuracy of their every move

0:31:230:31:26

has been recorded and analysed.

0:31:260:31:28

I couldn't do this as a living.

0:31:280:31:30

I would find it very hard, I'd struggle.

0:31:300:31:33

It has been difficult, yeah.

0:31:350:31:38

You can only do your best.

0:31:390:31:40

Yeah, I tried my hardest. Yes, that's all anybody can ask you.

0:31:410:31:45

I know. Oh, come on.

0:31:450:31:47

Judy.

0:31:470:31:49

I just got so depressed with it all.

0:31:500:31:52

Let's go get some water, come on. I've got some make-up wipes.

0:31:530:31:56

Come on.

0:31:570:31:58

The workers are on their way back

0:32:050:32:07

to the factory for their pay packets.

0:32:070:32:08

For their five-hour shift,

0:32:160:32:17

they'll be paid the pre-April rates of minimum wage...

0:32:170:32:20

Hi. ..which was ?6.70 an hour before tax.

0:32:200:32:24

Welcome back to the factory.

0:32:240:32:25

You've completed another job,

0:32:250:32:27

so I'd like to give you your wages.

0:32:270:32:29

Berwyn. Cheers, mate.

0:32:290:32:30

Sabrina. Thanks, Sabrina.

0:32:300:32:33

Martin. Thanks, Martin.

0:32:330:32:35

What can I say?

0:32:400:32:42

This isn't pay packages, it's so little.

0:32:420:32:44

And it's for all that effort, physical effort.

0:32:440:32:47

I appreciate far more what they do now that I've seen it,

0:32:480:32:51

the real world, myself.

0:32:510:32:52

I do honestly think 6.70 is the right wage for that job.

0:32:540:32:57

Certainly, that job, to me, I would do for that money,

0:32:570:33:00

I would do it for 6.70 an hour.

0:33:000:33:02

So, who had the skills to thrive in warehouse work?

0:33:020:33:05

Was anyone able to maintain the company's exacting targets?

0:33:050:33:09

Mike Matthews, who's overseeing the experiment, is collating

0:33:090:33:12

the productivity data that's come back from the warehouse.

0:33:120:33:16

This is the first time they've been judged as individuals.

0:33:160:33:19

It will suit some of them, but it won't suit all of them.

0:33:190:33:21

Because the warehouse records work rates every ten minutes,

0:33:220:33:26

Mike's able to see whether the workers improved over their shift.

0:33:260:33:30

What's interesting about the monitoring,

0:33:300:33:32

I'd expect that those at the bottom, if they were being monitored,

0:33:320:33:36

they would have got better, but, actually,

0:33:360:33:38

it seemed to make them worse.

0:33:380:33:39

So, how do the workers compare to employees at the warehouse?

0:33:400:33:44

The rate for an experienced worker is 360 picks

0:33:440:33:48

and for a new one is 180.

0:33:480:33:50

Five of our workers didn't even pass the standard expected

0:33:510:33:54

of new employees, but the top four did.

0:33:540:33:58

What we noted about them about the most productive people,

0:33:590:34:02

they really do know how to work fast.

0:34:020:34:04

The top three - they've all had lots of jobs

0:34:040:34:06

and they've all got a range of skills,

0:34:060:34:08

so they all demonstrated they could learn and work very fast.

0:34:080:34:11

HORN BLARES

0:34:110:34:14

THEY GASP Oh, my God.

0:34:220:34:24

With her years of experience,

0:34:240:34:25

warehouse worker Majka came top of the productivity rankings.

0:34:250:34:29

I feel proud of me, because I tried the best,

0:34:310:34:35

I do everything what I can, so if I have any job,

0:34:350:34:39

I always go to the work and give everything

0:34:390:34:41

to being good and try the best.

0:34:410:34:44

It's all right. Sorry, buddy.

0:34:450:34:49

63-year-old Rob's output was six times slower than experienced staff.

0:34:490:34:55

I think anything that requires a lot of speed

0:34:550:34:59

and fiddling with the computer and stuff like that,

0:34:590:35:02

I find it a bit difficult sometimes.

0:35:020:35:04

I'm not a methodical person, you know, I'm a bit haphazard.

0:35:040:35:09

It didn't fill up my environment, really.

0:35:090:35:11

You can't stop and talk to somebody.

0:35:110:35:14

I've been in many environments like that where you start

0:35:140:35:17

to talk to somebody and the boss comes over and says,

0:35:170:35:19

"We don't pay you to stand around talking."

0:35:190:35:21

I find that difficult.

0:35:210:35:22

I'm absolutely over the moon,

0:35:250:35:26

cos I felt so close to the edge

0:35:260:35:28

emotionally and physically and mentally.

0:35:280:35:30

Although I'm relieved, I feel very sad that he has to go.

0:35:300:35:33

It could have been me, quite easily.

0:35:330:35:36

We're over halfway through the experiment and the six remaining

0:35:430:35:47

workers are about to do another shift in e-commerce,

0:35:470:35:50

but this time, they'll be working in the high-end luxury market.

0:35:500:35:54

Britain is the online shopping capital of Europe

0:35:560:35:59

with 35 million of us buying at the click of a button,

0:35:590:36:02

so rather than going into a shop to examine what we want,

0:36:020:36:05

we enter a virtual world of perfect images.

0:36:050:36:08

And when it arrives, we expect it to be just that - perfect.

0:36:080:36:12

So online companies employ quality controllers

0:36:120:36:15

who check every last detail of a product before it's shipped.

0:36:150:36:19

Good morning, everybody.

0:36:230:36:24

ALL: Good morning.

0:36:240:36:25

This next job requires determination, patience

0:36:250:36:28

and a keen eye for detail.

0:36:280:36:31

It lies behind those doors.

0:36:310:36:33

Good luck to you all.

0:36:330:36:34

OK, guys, let's go and see what the next job is.

0:36:340:36:37

In this section of the factory,

0:36:470:36:48

we've set up our quality control centre,

0:36:480:36:50

and the product our workers will be checking are tents.

0:36:500:36:54

I've been camping twice, when I was young.

0:36:570:37:01

I haven't made a tent before.

0:37:010:37:02

Someone gave me a tent, it's in the back of my boot,

0:37:020:37:04

I've never opened it, so...

0:37:040:37:06

I'm terrified, cos I never do like that.

0:37:060:37:09

Good challenge for me now.

0:37:120:37:13

They're about to do a four-hour shift working for John Harris,

0:37:150:37:19

managing director of an online luxury tent brand.

0:37:190:37:22

The last time I put up a tent was 20 years ago.

0:37:230:37:25

I work too hard to worry about going camping.

0:37:260:37:29

With a host of celebrity customers, from Rihanna to Fearne Cotton,

0:37:290:37:33

quality control is paramount.

0:37:330:37:35

It's vital for us that we get it right almost every time,

0:37:350:37:39

if not every time.

0:37:390:37:40

Each tent must be erected, checked and repacked to make sure

0:37:400:37:44

that customers get a perfect tent every time.

0:37:440:37:48

They're for the bottom of the legs.

0:37:480:37:50

OK? So they go into the floor.

0:37:500:37:53

The workers will be expected to quality control a tent

0:37:530:37:56

every ten minutes, so they'll have to be fast.

0:37:560:37:59

Change after the third pole.

0:37:590:38:01

They're your eyelets.

0:38:030:38:05

Right, guys, let's get to it. HORN BLARES

0:38:050:38:07

One in five of the tents they've been given is faulty,

0:38:090:38:12

and to ensure none slip through quality control

0:38:120:38:15

requires exceptional attention to detail.

0:38:150:38:17

John's own team of quality controllers

0:38:180:38:20

will be monitoring their work and awarding points

0:38:200:38:23

for correctly passed or failed tents.

0:38:230:38:25

First up, they'll start with the simplest test - a sunshade.

0:38:270:38:30

And they have an our to assemble and check as many of them as they can.

0:38:300:38:35

I can't see the hole I'm supposed to put it in.

0:38:350:38:37

It looks a bit wonky, doesn't it?

0:38:390:38:41

The workers have to assess every detail of the sunshades.

0:38:430:38:46

The guide ropes, the tent poles, the flysheets,

0:38:460:38:50

making sure that every eyelet is in place,

0:38:500:38:53

all stitching correct

0:38:530:38:54

and every label attached

0:38:540:38:56

and the print clear and undamaged.

0:38:560:38:58

If there's any fault, then the tent is a reject.

0:38:580:39:02

One of these rings are missing on the opposite side in the middle.

0:39:020:39:06

So obviously, this can't be sold.

0:39:060:39:08

What we're looking for in a quality controller

0:39:090:39:12

would be somebody who is calm, somebody with a good eye

0:39:120:39:14

and able to spot the mistakes, because mistakes are made.

0:39:140:39:17

Midway through their shift,

0:39:170:39:19

the workers' individual results will be displayed on the leaderboard

0:39:190:39:22

to see how it affects their progress.

0:39:220:39:25

I think there's not much point in rushing this at all,

0:39:250:39:27

because if you get any bit of it wrong,

0:39:270:39:29

then I've just gone and wasted all my time.

0:39:290:39:32

Judy struggled with yesterday's task at the warehouse

0:39:330:39:36

and narrowly escaped going home.

0:39:360:39:38

I think in this task I have to be more calmed and controlled

0:39:380:39:42

and less erratic.

0:39:420:39:43

I think I've been erratic and nervous.

0:39:430:39:46

I've got to reject this one... SHE CHUCKLES

0:39:470:39:50

..after all that.

0:39:500:39:51

The Made in Britain tag's missing,

0:39:510:39:53

so I have to reject this one straightaway.

0:39:530:39:56

John's company has just 14 employees,

0:39:570:40:00

and half of them are involved in quality control.

0:40:000:40:03

Just how important is quality control for your business?

0:40:050:40:08

I think it's vital.

0:40:080:40:09

The idea that we have people who aren't happy with the product

0:40:090:40:13

and they can spread that news nowadays very quickly

0:40:130:40:16

through social media.

0:40:160:40:17

So I think it's absolutely critical for any business,

0:40:170:40:19

but for our business in particular.

0:40:190:40:21

And how much do you pay staff?

0:40:210:40:23

We start people, normally, on minimum wage

0:40:230:40:25

and we hope to be able to increase their wages

0:40:250:40:27

as their skill sets improve and as the company grows.

0:40:270:40:32

Could you afford to pay them more?

0:40:320:40:35

Today no, but the business is growing,

0:40:350:40:37

we've got big aspirations and, eventually,

0:40:370:40:41

as we produce more sales and produce more profits,

0:40:410:40:45

then the staff can share in those benefits, yes.

0:40:450:40:47

So as the minimum wage goes up,

0:40:470:40:49

there's talk that by 2020, it going up to ?9 an hour.

0:40:490:40:53

How will that impact a small business like yours?

0:40:530:40:56

I think staff are an absolutely vital part of the business,

0:40:560:40:58

so we would look at reducing costs elsewhere

0:40:580:41:02

before we reduce staff costs,

0:41:020:41:04

and it might mean that we spend less on marketing or other operations

0:41:040:41:07

within the business,

0:41:070:41:09

which might affect the scale of growth of the business.

0:41:090:41:12

This one's faulty.

0:41:120:41:14

There's no eyelet on there. OK. I'll leave that to the side, yeah?

0:41:150:41:18

The workers must report all faults to the monitors.

0:41:180:41:21

There's another one.

0:41:230:41:24

They're scored both on the faults they find

0:41:260:41:28

and, if the tent is perfect, on their ability to repack the tent

0:41:280:41:32

to the standard that's expected by John's customers.

0:41:320:41:35

If I were to see this in a shop, I wouldn't buy it, if it was dirty.

0:41:370:41:41

You'd normally ask for a clean one, wouldn't you?

0:41:410:41:44

While others are finishing their second tents,

0:41:440:41:47

Sabrina's still on her first,

0:41:470:41:49

because she wants it to be immaculate.

0:41:490:41:51

Sabrina's stepfather was a diplomat

0:41:560:41:58

and she had the perfect life growing up in Yemen.

0:41:580:42:01

I had one of the best childhoods.

0:42:010:42:04

I was so spoilt, you know, everything.

0:42:040:42:06

Anything that I wanted, I would get it.

0:42:060:42:09

You know, we had the drivers and the maids

0:42:090:42:12

and it was just a life of luxury.

0:42:120:42:15

You know, private schooling and it was really nice.

0:42:150:42:19

But at the age of 17,

0:42:190:42:21

she got married and came back to the UK

0:42:210:42:23

with the hope of going to college.

0:42:230:42:24

I wouldn't have imagined at the age of 23 I'd be divorced

0:42:270:42:30

and I've got a five-year-old little boy, no.

0:42:300:42:33

It's hard, like, bringing in the money,

0:42:330:42:35

because there's only one of me, there's only one wage, but...

0:42:350:42:38

..you've just got to keep going.

0:42:390:42:41

To fit around childcare, Sabrina's started up her own business.

0:42:410:42:46

So I clean business premises, personal houses.

0:42:460:42:50

You would think it's easy, but it's not.

0:42:500:42:52

Doing the cleaning - it does half break your back.

0:42:520:42:55

But with only a handful of clients,

0:42:550:42:56

Sabrina's business isn't making enough money for her to get by.

0:42:560:43:00

I don't want to be living my life like this forever.

0:43:000:43:04

I don't want to stay in the low-wage economy. Who does?

0:43:040:43:07

Even though being a perfectionist is slowing her down,

0:43:100:43:13

Sabrina's sticking to her strategy.

0:43:130:43:15

See, mine have got all marks on. This place is dusty.

0:43:160:43:19

Sabrina's proving to be a little bit slow.

0:43:220:43:24

Trying to make sure everything's absolute perfect,

0:43:250:43:28

but that really is slowing down her productivity.

0:43:280:43:30

With ten minutes to go before they stop working on sunshades,

0:43:320:43:35

Sabrina's only on her third tent...

0:43:350:43:38

I'm not going to rush.

0:43:380:43:40

..and the other workers are much quicker.

0:43:400:43:42

I'm learning a bit more.

0:43:420:43:44

Realising that I remember where my pole hole is.

0:43:450:43:48

Stephanie is checking a tent every 13 minutes,

0:43:480:43:51

which means she's only just three minutes slower

0:43:510:43:53

than one of John's experienced quality controllers.

0:43:530:43:56

Oh, this is a failure.

0:43:570:43:59

The eyelet is missing completely.

0:43:590:44:02

This is a defunct tent, so I don't have to go any further.

0:44:020:44:04

Since taking a career break because of illness in her family,

0:44:070:44:10

57-year-old agency chef Stephanie

0:44:100:44:12

has been unable to get back into catering management.

0:44:120:44:16

I wanted to take part in this

0:44:160:44:17

because I've been on both sides of the fence.

0:44:170:44:20

I've been someone who's been forced to pay zero hours

0:44:200:44:24

and now I'm on zero hours myself.

0:44:240:44:27

Last year, I earned 13,000, but it wasn't enough to survive.

0:44:270:44:32

I want to see if there's a better way of doing it than I'm doing it.

0:44:320:44:36

Oh, sugar, I've walked all that way for nothing.

0:44:360:44:39

Over the course of the experiment,

0:44:390:44:41

Stephanie's found it hard to toe the line...

0:44:410:44:43

Can we change this bed?

0:44:430:44:45

We've got to get on.

0:44:450:44:46

..but she's proved herself highly adaptable...

0:44:460:44:49

I've found that when you do work like this,

0:44:490:44:51

you don't need to go to the gym.

0:44:510:44:53

..and she's making the most of the experience.

0:44:530:44:57

I'm seeing all these different jobs

0:44:570:44:59

and I'm realising that I've got all these different,

0:44:590:45:01

well, potential skills,

0:45:010:45:03

I might make a complete hash of this,

0:45:030:45:05

but I could be a tent quality controller.

0:45:050:45:08

Majka, who normally works in a warehouse as a forklift driver,

0:45:130:45:17

is even faster.

0:45:170:45:18

I don't have another one. I finish.

0:45:180:45:20

She's finished five and has run out of tents to inspect.

0:45:200:45:23

Hello. I think it's good going, I don't know.

0:45:250:45:28

It looks as though you're doing a great job. Thank you.

0:45:280:45:31

It looks as though you've got a very good eye for detail

0:45:310:45:34

and you'd make a great person in our factory.

0:45:340:45:36

Thank you very much, I try the best what I can.

0:45:360:45:38

Very fast as well, which is great. Oh, thank you. OK? Thank you.

0:45:380:45:43

I have been focused and I try find the way

0:45:460:45:49

to making good without nerves and stress.

0:45:490:45:53

I think that your emotion can only break your work.

0:45:530:45:57

That shouldn't happen. Jesus!

0:46:030:46:06

They've been quality controlling sunshades for over an hour...

0:46:060:46:10

Be nice to me.

0:46:100:46:11

..and the workers will now move onto another type of tent.

0:46:110:46:15

But first, the productivity data collected so far

0:46:160:46:19

is going to be used to motivate the workers.

0:46:190:46:21

HORN BLARES

0:46:230:46:26

The hour always goes too quickly.

0:46:280:46:30

Right guys, gather round, please.

0:46:330:46:35

Come in tight.

0:46:350:46:36

Factory manager Mike runs a globally competitive car parts factory

0:46:380:46:41

in Teesside, and he believes the public display of performance data

0:46:410:46:45

is central to productivity.

0:46:450:46:47

We're standing by a board here with stars and numbers.

0:46:480:46:53

Yeah. It looks like some sort of incentivisation board.

0:46:530:46:56

What's going on here? What we're doing here is we're telling them,

0:46:560:47:00

"We know how you're performing."

0:47:000:47:01

This is making sure that we have the optimum environment

0:47:010:47:04

for productivity and quality. Right, does your leaderboard work?

0:47:040:47:07

Well, you may notice, we don't have names, we have the cells.

0:47:070:47:11

So, it's a group of people, they know who they are,

0:47:110:47:13

they're aware of the numbers, and that's as far as we need to go.

0:47:130:47:16

You're not actually naming and shaming, but, certainly,

0:47:160:47:18

the cell who's doing the worst will know that they're at the bottom

0:47:180:47:21

of the leaderboard. You find workers in an industry like this

0:47:210:47:24

have got a great deal of pride, and those guys don't want to be

0:47:240:47:26

at the bottom of the leaderboard, they want to be at the top.

0:47:260:47:29

So, basically, what we're replicating in our factory

0:47:290:47:31

is what's happening in a real-world environment. Absolutely.

0:47:310:47:34

It's one thing monitoring team productivity,

0:47:340:47:37

but some sectors, like call centres and retail,

0:47:370:47:40

are taking it a step further by ranking individuals

0:47:400:47:43

throughout the day and displaying it prominently

0:47:430:47:46

so the whole workforce can see.

0:47:460:47:48

This means everyone knows who's doing well and who's not.

0:47:480:47:51

Majka's continuing her winning streak from yesterday...

0:47:550:47:58

..and Stephanie's come second.

0:47:590:48:01

I feel absolutely fantastic, I didn't expect to be there.

0:48:010:48:05

I just need to maintain it.

0:48:050:48:07

Sabrina's come last.

0:48:080:48:09

It's all right. If I go, I go.

0:48:100:48:12

Now that everyone's seen their results on the leaderboard,

0:48:150:48:17

will the least productive be motivated to improve?

0:48:170:48:20

I'm fine.

0:48:310:48:33

How do you feel about being at the bottom of the leaderboard?

0:48:350:48:38

I'm not surprised, cos I know I took a lot longer,

0:48:380:48:41

cos I think I was maybe concentrating a bit too much

0:48:410:48:43

on the detail. Yeah.

0:48:430:48:44

I don't know... I do think I'm a really hard worker,

0:48:440:48:47

but maybe it's because I'm not confident.

0:48:470:48:49

I'm sure you can do it, you look very skilled,

0:48:490:48:51

you just look nervous. I think you need to relax

0:48:510:48:53

and just crack on with it. Yeah, I know.

0:48:530:48:55

Bang in the middle of the leaderboard, Leon has come fourth.

0:48:550:48:59

I've worked in environments where there's leaderboards

0:48:590:49:02

and there's scoreboards,

0:49:020:49:03

there's incentives for whoever comes first and things like that

0:49:030:49:06

and, yeah, it works, it works.

0:49:060:49:10

There's a feeling of satisfaction, knowing that you're top.

0:49:100:49:13

And if you're not top, you are going to push harder.

0:49:130:49:17

HORN BLARES

0:49:170:49:20

Next, the workers must erect and check a wigwam.

0:49:240:49:27

It's aimed at the children's market and designed specially

0:49:270:49:30

to be simple and easy to assemble.

0:49:300:49:32

Sorry.

0:49:360:49:37

This tent is definitely a lot more fiddly than the last.

0:49:400:49:43

I think that's the hardest part, remembering what part goes where.

0:49:450:49:50

I'm finding this quite difficult.

0:49:500:49:52

Every clip and buckle has to be checked.

0:49:530:49:56

It's not as easy as it looks, not at all.

0:49:560:49:59

But now the job isn't the only thing on people's minds.

0:49:590:50:02

Yeah, Majka, she's top on the leaderboard again.

0:50:040:50:06

She's doing really well in a lot of the jobs that we've been given.

0:50:080:50:11

I'm second to last.

0:50:110:50:13

I am bothered. I am trying my best.

0:50:130:50:15

I just get on with it.

0:50:170:50:19

I try to ignore the leaderboard as much as possible.

0:50:190:50:22

If you're showing somebody that they're last on a board,

0:50:220:50:24

it doesn't necessarily make them do the job right,

0:50:240:50:28

all it does is put them under pressure,

0:50:280:50:31

thinking "I'm last, I'm last."

0:50:310:50:33

I'm panicking now, so I need to stop panicking.

0:50:350:50:38

It's just got in knowing that I'm at the bottom.

0:50:380:50:40

Is monitoring something that'll just be part and parcel

0:50:430:50:46

of the low-paid economy or will it become the norm

0:50:460:50:48

in other sectors of the labour market too?

0:50:480:50:51

Hello, Mark. Hi there, good to see you.

0:50:510:50:53

Economist Mark Beatson has been looking

0:50:530:50:55

at who's going to be affected.

0:50:550:50:57

How much are we going to see an increase in monitoring of staff

0:50:580:51:03

to make sure that they hit targets to help increase productivity?

0:51:030:51:06

Well, it's happening everywhere. I mean, to differing extents,

0:51:060:51:09

because it does depend partly on the ability to be able

0:51:090:51:13

to cut jobs down into little pieces.

0:51:130:51:14

If you want to be recognised as being the best at what you do,

0:51:140:51:17

then the best way of being able to show that is to measure it,

0:51:170:51:20

so it can be positive.

0:51:200:51:22

What experimental research shows is that people love being first

0:51:220:51:26

and they really hate being last, so those are very powerful motivators.

0:51:260:51:29

Is this inevitable now?

0:51:290:51:30

With technology going the way it is,

0:51:300:51:32

are we going to be seeing more and more of this in the workforce?

0:51:320:51:35

I mean, the pressures for time

0:51:350:51:36

are all the same at all levels of the economy. So it's not just

0:51:360:51:40

low-paid workers who are going to see more monitoring,

0:51:400:51:42

it's also going to be professional workers.

0:51:420:51:44

Accountants, lawyers, doctors, anybody, really,

0:51:440:51:47

where you can cut things down and measure them,

0:51:470:51:50

and that's pretty much across the board.

0:51:500:51:51

Midway through their shift and Judy is currently third

0:51:540:51:56

from the bottom of the leaderboard.

0:51:560:51:58

For some bizarre reason, I can't get my brain around this one. Right.

0:52:040:52:08

Right.

0:52:110:52:12

Working at a managerial level,

0:52:150:52:16

I've never seen these kind of in-your-face targets.

0:52:160:52:19

I'm having a mental block.

0:52:210:52:22

Seeing your name on that leaderboard is brutal.

0:52:240:52:27

While Judy is finding it hard to cope with the pressure...

0:52:320:52:35

I'm just being thick.

0:52:350:52:36

Check.

0:52:360:52:37

..Stephanie, who is in second place on the leaderboard,

0:52:370:52:40

is getting more confident.

0:52:400:52:41

Check.

0:52:410:52:43

Each time I go round, I can do it in less steps.

0:52:430:52:47

Next time, that one will be quicker.

0:52:470:52:49

Martin was just below Stephanie, so he's trying to go more quickly.

0:52:520:52:55

Martin was very fast in the way that he put the tent up,

0:53:050:53:09

which was great, because we all like to see productivity,

0:53:090:53:12

but towards the end, he rushed folding the tent up

0:53:120:53:15

and almost stuffed it into the bag.

0:53:150:53:17

And that really isn't what our customers want,

0:53:190:53:21

they want a neatly-folded product.

0:53:210:53:22

That tent's going to have to be

0:53:220:53:24

unpacked and repacked, unfortunately.

0:53:240:53:26

Oh, God, it pulls out.

0:53:270:53:29

With just ten minutes to go,

0:53:300:53:32

everyone is trying to add to their scores

0:53:320:53:33

so that they move up the leaderboard.

0:53:330:53:37

So that's correct or not, we accept that or not?

0:53:370:53:39

Not acceptable, no?

0:53:400:53:42

It's like a mathematical puzzle.

0:53:420:53:43

HORN BLARES

0:53:490:53:51

High-five. Come here. Give me a hug.

0:53:550:53:57

Never take jobs like this for granted, cos you could end up

0:53:580:54:01

doing the same thing yourself.

0:54:010:54:03

Before the workers find out who's going home,

0:54:080:54:10

they'll be paid for their shift.

0:54:100:54:12

You've completed another job, so now I'd like to give you your wages.

0:54:190:54:22

Stephanie. Thank you, Stephanie. Thank you.

0:54:220:54:25

Martin. They've worked for three hours on minimum wage

0:54:250:54:29

and at pre-April rates, they've earned ?20.10 before tax.

0:54:290:54:34

It's a subsistence and, I think,

0:54:360:54:38

for the amount of physical energy they put out for this kind of job,

0:54:380:54:41

you know, the outside world should see what they do

0:54:410:54:43

and they should pay them more.

0:54:430:54:45

So how have the workers done as quality controllers?

0:54:450:54:48

Have they shown the attention to detail and speed needed

0:54:480:54:51

to do the job well?

0:54:510:54:54

And did putting their individual productivity on display

0:54:540:54:57

make a difference?

0:54:570:54:58

Mike's been analysing the data to find out.

0:54:590:55:03

The effect of the leaderboard in this task was really interesting.

0:55:030:55:06

Essentially, we were monitoring our guys, and what that did

0:55:060:55:09

for the guys at the front, it gave them confidence.

0:55:090:55:12

But what it did for the guys that weren't doing so well,

0:55:120:55:15

it undermined their confidence.

0:55:150:55:17

In these conditions, the company would expect

0:55:170:55:20

an experienced quality controller to get a total of 70 points.

0:55:200:55:24

The least productive worker got just 43 points, that's a third less.

0:55:240:55:29

But the best worker was just two points away from getting

0:55:290:55:31

what the company would expect its own staff to score.

0:55:310:55:34

The person who won this task

0:55:360:55:38

won it because of their attention to detail.

0:55:380:55:40

It enabled them to get great scores for quality and it also allowed them

0:55:400:55:43

to be consistent, so they won the task really easily.

0:55:430:55:46

HORN BLARES

0:55:490:55:51

57-year-old Stephanie came top of the leaderboard.

0:56:030:56:06

I feel absolutely amazing.

0:56:070:56:11

I'm the oldest one that's surviving at the moment.

0:56:110:56:14

The next person who wants not to employ me

0:56:140:56:17

because they think I'm old -

0:56:170:56:18

no, I can work hard.

0:56:180:56:20

Judy came last.

0:56:210:56:23

She got slower throughout the task, so she'll be the one going home.

0:56:230:56:27

I've reached my limitation now and I think it's time for me to go.

0:56:290:56:33

But I'm proud, I'm proud I got this far, I really am.

0:56:330:56:36

Maybe it's a bit of a wake-up call,

0:56:360:56:38

just to understand what happens out there in the real world.

0:56:380:56:41

You've done well to make it here, you really have.

0:56:410:56:44

I'm gutted for Judy, cos I know that she did try hard.

0:56:440:56:47

And I know I only got through by the skin of my teeth.

0:56:470:56:50

I feel so relieved. I'm really happy.

0:56:520:56:54

Since taking part in the experiment, Judy's had some good news.

0:56:590:57:03

I've been very lucky, I've managed to find myself a job.

0:57:030:57:07

It's not perfect, but I'm earning money that can pay my bills.

0:57:070:57:11

She's got a job as a sales executive,

0:57:110:57:13

earning well above minimum wage.

0:57:130:57:15

The alternative to that was that I would have probably had to

0:57:150:57:19

have one of those kind of jobs in unskilled labour and,

0:57:190:57:21

quite honestly, I don't know if I could've done them.

0:57:210:57:24

I have a great deal of respect for people who do that kind of work.

0:57:240:57:28

I cannot, by any means or form,

0:57:280:57:31

match anything in the way that they do their job.

0:57:310:57:33

And Rob's found work as a delivery driver for a health care company.

0:57:350:57:38

Yeah, I love it, because I've always enjoyed driving,

0:57:400:57:43

you know, being out and about.

0:57:430:57:44

It's fantastic - seeing different places and meeting different people,

0:57:440:57:47

they're always friendly. And in a way, you're your own boss,

0:57:470:57:50

to some extent. Just being able to get on with it on your own,

0:57:500:57:52

under your own pace, it's fantastic.

0:57:520:57:55

I couldn't really want for anything better.

0:57:550:57:58

Next time...

0:58:000:58:02

Welcome to my factory, let's get you inside.

0:58:040:58:06

..the workers are entering the world of manufacturing...

0:58:060:58:09

This is how we can compete with places like China,

0:58:090:58:12

India, Russia, Brazil.

0:58:120:58:13

..where their resilience... I can't remember the next stage.

0:58:130:58:17

..and endurance...

0:58:170:58:18

I never want to see a flipping cushion in my life again.

0:58:180:58:20

..will be tested to extremes.

0:58:220:58:24

That's sewn the wrong way, and that one - you left a hole in it.

0:58:250:58:29

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