이 에피소드에 관해
Dyson spent six years developing its $500 CameraJet toothbrush, involving hundreds of engineers and some highly sophisticated technology.
But within days of its September 2026 launch, users and reviewers were reporting failures. The product was soon temporarily unavailable, and Dyson later confirmed that one production batch of jet tubes had experienced a manufacturing process issue.
So how can a product with so much engineering behind it still run into problems almost immediately after launch?
In this episode, Adrian and Renaud use the Dyson CameraJet story as a real-world case study in the risks hardware companies face when moving from product development into mass production.
They discuss why waterproof products are particularly difficult to manufacture reliably, how a good design can still be undermined by process variation, and why successful prototypes and validation testing do not necessarily prove that a production line is ready.
The conversation also looks at the importance of a structured NPI process, production validation builds, end-of-line testing, process control, and involving experienced manufacturers early enough to uncover problems before a major commercial launch.
Finally, they discuss what should happen when failures start appearing in the field: gathering failed units quickly, identifying patterns, performing failure analysis, feeding lessons back into design and manufacturing, and using traceability to isolate affected batches.
Topics covered include:
- What happened during the Dyson CameraJet launch
- Why waterproofing is such a difficult hardware challenge
- How manufacturing variation can undermine a sound product design
- Why early mass production is often the highest-risk period
- The role of EVT, DVT and production validation
- Why test fixtures and end-of-line testing need to mature before launch
- Process control during production ramp-up
- The risks of a high-profile “big bang” product launch
- How to investigate early field failures
- Why manufacturing traceability matters when one batch has a problem
- What SMEs and hardware startups can learn from Dyson’s experience
This episode is brought to you by the Sofeast Group. Visit sofeast.com for inspection, NPI support, contract manufacturing, 3PL, and other services across Asia’s manufacturing hubs.
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You're listening to china manufacturing decoded from the Sofeast group
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hi welcome back to china manufacturing decoded it's episode 349 today adrian
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hosting here and renault's on board with me hi renault
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Adrian how are you doing.
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Yeah good how are you
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All good We made it back to China,
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after the long break here, actually it was a combined Mid Autumn Festival plus,
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October 1st called the golden week, a kind of double holiday.
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Now things are getting started again finally.
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I got you on board today because we were talking about this before the podcast
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right there was it's quite an interesting story i think that anybody who's developing
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or manufacturing a hardware product can probably learn something from
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the start of last month september 2026 dyson who are probably best known for
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vacuum cleaners they launched this
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really newfangled toothbrush called the camera jet which is just the 500 renault and
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that's something that took them six years to develop hundreds of engineers and
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it's got a lot of quite sophisticated technology on board so if you're listening
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you can probably guess what's coming now within days of the launch
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people were reporting that the product was dying maybe they never really worked
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and then they quickly took it offline and it wasn't available
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so what could cause this and and we're going to dig into this i will make the point now that as
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It appears to be back on sale so i think that the issue was found and maybe
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solved but that doesn't mean that there's nothing that we can we can learn and
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so i think there are some sort of quite familiar
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hardware development risks that we can talk about so this was supposed to be waterproof
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you know what the what are the critical processes in mass production that that
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need to be controlled here you mentioned validating production so
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how do you validate it properly before a major launch was it in this case perhaps
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how do you react to early field failures there's a lot of stuff here So this
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isn't only for Dyson or toothbrushes, but I think it can apply to a lot of hardware consumer products.
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So when you saw this story, because you mentioned this to me,
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I was aware of it, but actually it was a good idea to talk about it.
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What stood out to you from a manufacturing perspective?
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Very painful i i can only imagine right so they,
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they spent years doing the product development they fine-tuned it they say okay this really you know,
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there's really some kind of benefit that we can talk about then they they tool
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up they they industrialize the product,
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but they need to keep bit kind of secret, right?
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It's a little bit like Apple, because they want a big bang of,
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oh, this is new, a new product, look at that. Oh, Dyson is coming up with something crazy again, right?
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They built their image on nicely designed and nicely made products that you
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want to have in your home, basically.
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So, vacuum some cleaners, lots of hair dryers and things around the hair.
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What else? They launched something that was kind of like a mask and at the same
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time, like over the head headset.
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I don't think that would work, but at least, you know, people are like,
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okay, wow, you know, this is differentiated, right?
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This is a, if you really have that problem, you really need to have clean air
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and so on, like, you know, sort of be in your bubble.
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This is, you know, might be a great product, okay?
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They wanted to go into cars, and then at the last moment, they kind of pulled
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the plug. Okay, I think they did well. This got way too competitive.
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And now, so they launched something in the mouth, right? I think it was the
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first time Dyson does something for the mouth.
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And obviously, it's a very dynamic category. There's been a lot of electric
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toothbrushes that came up with extra features.
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So why now and not 10 years ago? I think there's a lot of sensors and a lot
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of things you can do, a lot of cool things you can perceive.
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And the idea here, if I understand, is that what they call the camera jet,
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right, is that basically there's a camera that picks up, hey,
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here's there's a little bit of a space between two teeth or something.
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Okay, I'm going to send a jet of water to do like flossing, kind of.
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So you don't need to do something weird around your teeth, you know,
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flossing, and you can do much more than a toothbrush.
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So, okay, pretty cool.
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The thing is, yeah, going from vacuum cleaners and hair dryers to electric toothbrush,
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that, you know, there's some new challenges, let's say, right?
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And from pushing air to pushing water, right?
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And from like fighting dust to fighting saliva and all kinds of water and stuff
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like, you know, there's some new challenges.
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So it's, I'm sure they had some kind of risk analysis. I'm sure they thought
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about all this, but apparently they get surprised, right? Right.
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And they did that also, I'm pretty sure they did that outside of China because
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they take it as a point of pride to make everything outside of China.
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So that might be made in Malaysia or someplace like this.
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Which is fine. There's a lot of good expertise in Malaysia for electronics.
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However, if you're going for the most experienced manufacturers of electric
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toothbrushes, you go to China, right?
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So anyway, I'm not saying this has any relationship with their issues, just a side note.
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So yeah, to answer your question, very painful, very painful. You do all that work.
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So you build up sort of the surprise, then you unveil it to the world,
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and you're very proud of it, and okay, there's some press, and within, what, a few weeks?
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You need to say, ooh, we stop, we withdraw from the market, stop everything,
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just one production batch, but, you know, it's just one production batch,
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why would they have to remove, to stop everything, right?
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Any issues with traceability here? Because if you have good traceability,
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if it's really one production batch, and you confirm it's one production batch,
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then maybe you don't stop everything?
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Or maybe they had no inventory and it was the only one they were setting,
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I have no idea, right? I don't want to jump to conclusions.
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Or maybe they were not sure yet it was only one production batch.
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So anyway, very painful because...
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I'm sure it killed all the momentum of the launch right and that translates to,
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a loss maybe tens of millions of dollars of free advertisement you know that,
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and suddenly becomes uh negative publicity that's pretty bad.
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Yeah yeah it launched on the first and i think failures were being reported by
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no later than the ninth so about a week and
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then in the middle of the month it was it was taken off sale for a period of
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time so yeah all within two weeks you're absolutely right it doesn't mean the
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product doesn't work now but yeah the the launch was overshadowed very much
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by poor review because reviewers from
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you know the publications like i don't know wired and other other ones like that
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they received these products tested them and they've said oh that's dead i will
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some of them i didn't even work was never able to brush my teeth it's not it's
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not Not the publicity that a famous company like Dyson wants when they do a new launch.
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So, yeah, I mean, imagine if you're a sort of a newer business and this happens, it's really bad.
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Right. And that's weird. I mean, you're talking about an out-of-the-box failure.
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But that's something that looks like a manufacturing issue. Yeah, definitely. Right.
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But how come it was, I mean, I'm pretty sure they were tested at the end of
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the line. What happened? How come they arrived and they're dead out of the box?
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This is pretty weird.
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If I were the product manager at Dyson or top management, I would really be
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asking very tough questions right now. This is just weird.
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From some of the articles I read, I think some of the journalists asked for
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a follow-up on the returned products because they sent them new ones.
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And i don't think they've given them a follow-up as of yet so i don't know whether
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they're still trying to work it out i think one of the
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one of the big issues that was reported was potentially the waterproofing was
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problematic right because this is a device that's definitely going to be very
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wet it makes itself wet because it's spraying out like
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a mouthwash type solution so
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it lives in a wet environment it's getting wet it's wet in your mouth and it's
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spraying water out that's actually stored inside in a reservoir as well so the
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whole thing is really wet and yeah so
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dyson claimed that it's ipx7 water resistance right and that may well be true
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because of course it's been tested extensively but i read somewhere that um
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one of the journalists had spoken to someone and they said well this this is
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fine when you're testing the product and validating it but in the process of
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shipping when products electronic products often undergo you know big
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variations in heat and humidity that can actually affect the cure on waterproofing
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whatever's been used for it right so they suggested that this could be an issue
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that had caused the devices to basically
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not work almost straight away this is some supposition Yeah,
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Exactly. We should take that with a grain of salt because,
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People who have most of the data are the manufacturer, right? Dyson.
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I'm sure they get their hands on some of these failed units as soon as they could.
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They run a failure analysis, try to understand what happened, right?
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So, but if they don't communicate, then we have to play the armchair analysts
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here. Yeah. And okay, it's fun.
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So, basically, yes, as I said earlier, they went from products that basically
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blow air to products that contain and blow water.
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I would not be surprised if, for example, yes, the environmental and reliability
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test protocols were not really a good fit, which is what that person,
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that commentator suggests.
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Yeah. Now, ask Dyson how they test, you know, how they validate the reliability
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of a new vacuum cleaner, you know, or hair dryer.
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I'm sure they're very good. You know, they are probably among the very best
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in the world at doing that, right?
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So when they have new product design, you know, they're not going to release
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something onto the market that will die prematurely.
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You know, they will have done a lot of smart testing. They will really try to
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reproduce the usage conditions and the stresses and all these kind of things.
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But now something that goes to the mouth, I'm sure they hired people from some
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of the best companies doing that.
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But still, you know, as an organization, you need to burn your own database of issues.
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And this is part of your organizational knowledge, right?
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And I would not be surprised if this is really missing. Now,
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this is being burnt right now, as we're speaking, right?
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When you go into a new category, that's always the kind of things that can happen.
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And again, if you make that in, I don't know, for example, Malaysia rather than
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China, then also you cannot count as much,
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on a really good manufacturer that's been doing that for a long time and themselves
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have their own opinion and experience on that, right?
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That might play a role, again, with just armchair analysts here,
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a bit removed from the action.
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But waterproofing, when you have a product like this, that's really a beast.
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And I believe that most companies that launch an electric toothbrush,
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and it's the first time they make this kind of product, have serious issues.
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Most of them have serious issues with waterproofing.
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Like, I've seen that, but of course I haven't run a wide survey.
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But I'm pretty sure it's extremely common, okay? I'm sure it happens at least 70% of the time.
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It's really an electric toothbrush that's designed from scratch.
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At least 70% of the time, if it's the first time to do it.
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Why? Because this thing,
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you hold in your hand, put in your mouth, is constantly fluids dripping,
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various kinds of fluids from clear water to whatever, saliva,
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to, you know, something with toothpaste, all kinds of things like that, right?
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It kind of drips onto the product, so it's like the entire outside shell of
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the product has to be waterproof.
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And plus there's like the inside, you know, the circuit of the water and,
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you know, the motor, all these kind of things, the PCB board, you know.
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Now, if there's a little bit of leakage over time, it can cause complete failure of the product, right?
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So that's quite common. And it needs to be designed, and that's really the key,
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is that the whole system has to be designed the right way.
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We're approaching this, right? The way you design the enclosure,
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whatever, the seals, or just the way the different parts mate together.
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You know,
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the tolerances, the materials you pick, how they're going to behave,
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including, as you were mentioning, if you have weak changes of temperature,
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is one of them going to expand or retract faster than the other?
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And after a while, what does that mean?
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For the boot product assembly, and so on and so forth. Okay,
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so you have to design the product.
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Basically, you need a lot of lessons learned here, right? You can't just take
00:15:38.893 --> 00:15:42.903
a mechanical engineer out of school. Hey, you know, this is something cool.
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You know, put this together.
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You're going to have all kinds of problems.
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Okay. You really need a team that has gone through this.
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And on top of that, you need the manufacturing to be done the right way.
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Okay. So you design the product. You also design the manufacturing. process.
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If there's a little bit of misalignment here or there.
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It's a disaster. So again, I'm not surprised.
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I would have put that as one of the very top, very highest types of risks for this product.
00:16:23.323 --> 00:16:26.544
But again, yeah, in hindsight, everything is easy, right?
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Maybe they did everything right and they were not lucky or something.
00:16:31.671 --> 00:16:37.143
But that's the thing when you innovate and you go first to market with a product
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that's the first of its kind, you're going to discover issues, right?
00:16:44.232 --> 00:16:50.593
You're going to discover it. And you could do like Apple and make hundreds and
00:16:50.593 --> 00:16:56.846
hundreds and thousands and thousands of units and bows and things like that, right?
00:16:57.590 --> 00:17:03.934
But not every company can do that. I'm sure Dyson cannot do that to the same extent as Apple.
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And Dyson cannot rely on,
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Honestly, the very best suppliers in the field, including component suppliers,
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etc., etc., module suppliers, and so on,
00:17:20.163 --> 00:17:23.823
the way Apple does. Nowhere near, right? So,
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in that regard, Dyson is closer to average SME, right? That's what I would suspect.
00:17:35.880 --> 00:17:42.293
Okay. So if we move away from the Dyson a bit, right, because this is a good,
00:17:42.293 --> 00:17:48.630
it's a good starting point, but you spoke about waterproof products and the risks there, right?
00:17:48.926 --> 00:17:53.783
Even if we know that the waterproof design is sound, could it be the manufacturing
00:17:53.783 --> 00:17:55.734
process that then undermines that?
00:17:56.580 --> 00:17:58.819
Oh, yeah. Yeah, of course. So.
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You could have a great design and make some pilots in Unity,
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DVT, and really subject them to all the IP67.
00:18:15.356 --> 00:18:21.199
Lab, you know, they get jets and so on. It's rather punishing already.
00:18:22.136 --> 00:18:24.785
And pass that, right? And simulate whatever.
00:18:26.536 --> 00:18:31.206
Two times a day, times two years, you know, or times, I don't know,
00:18:31.206 --> 00:18:32.815
maybe two minutes in the mouth.
00:18:33.157 --> 00:18:36.866
Simulate the life of the product. So, okay, and come out and say,
00:18:36.866 --> 00:18:40.019
okay, this is a great product. The product design is great.
00:18:41.203 --> 00:18:45.835
Then you send it to manufacturing, and it's not that great, right?
00:18:46.364 --> 00:18:50.702
Well, why? Why would it be not that great?
00:18:51.271 --> 00:18:56.986
Well, the manufacturing process itself might not be mature enough.
00:18:56.986 --> 00:19:00.025
Maybe you did not give them enough time to do things right.
00:19:00.493 --> 00:19:05.976
Maybe you did not really engage them from the beginning of the engineering validation
00:19:05.976 --> 00:19:08.156
runs and design validation runs, etc.
00:19:09.101 --> 00:19:17.695
With a sufficient number of units made with the final manufacturing process.
00:19:18.100 --> 00:19:22.354
Maybe you switch from one factory to another and the new one kind of,
00:19:22.528 --> 00:19:25.883
you know, had to figure out a lot of things on the fly very fast, right?
00:19:26.295 --> 00:19:30.138
I don't know the case here, but it's always a possibility.
00:19:30.649 --> 00:19:34.610
So don't always blame the manufacturer, right?
00:19:35.732 --> 00:19:42.236
Maybe also the test, sort of end-of-line testing or sub-assembly testing is.
00:19:43.662 --> 00:19:46.992
Not very mature, not very good at picking up the issues.
00:19:47.422 --> 00:19:52.263
That might be something that is quite common.
00:19:52.762 --> 00:19:56.280
Everybody wants to go to market fast and the test,
00:19:57.107 --> 00:20:03.821
The test benches and everything are not ready yet, right? Now for electric toothbrushes,
00:20:04.396 --> 00:20:11.646
I'm sure you go on Adibaba and you find kinds of test fixtures that you can buy off the shelf.
00:20:12.087 --> 00:20:18.350
But here we're talking about a very new kind of product that does things in a new way.
00:20:18.663 --> 00:20:22.773
So I'm sure they had to build a lot of their own test fixtures, right?
00:20:23.023 --> 00:20:31.368
So again, don't blame the manufacturer necessarily. these issues might be self-inflicted by Dyson.
00:20:34.093 --> 00:20:38.913
Or a company that manages the whole industrialization and supply chain for Dyson.
00:20:38.913 --> 00:20:41.967
Again, I don't know. I don't know how they're managing that.
00:20:43.493 --> 00:20:49.113
Also, it could be poor process control. So maybe when you do some pilots and
00:20:49.113 --> 00:20:54.227
you have engineers looking over and fixing every little issue and everything,
00:20:54.396 --> 00:20:58.116
okay, everything turns out really good and the tests,
00:20:59.364 --> 00:21:05.693
the test stations catch the few non-conforming products and you're like,
00:21:05.693 --> 00:21:08.881
okay, yeah, we can ramp up the volume, no problem.
00:21:09.375 --> 00:21:12.747
And then when it's really just managed by the production people,
00:21:13.095 --> 00:21:17.424
then maybe the process is no longer really in control.
00:21:18.689 --> 00:21:22.773
The way they, I don't know, apply the glue, maybe, I don't know,
00:21:22.773 --> 00:21:26.917
just a little bit of drift in the glue machines or whatever. Right?
00:21:27.299 --> 00:21:33.787
It could be a lot of things. Maybe simple, very dumb kind of issues. Maybe the.
00:21:36.052 --> 00:21:42.693
Screwdriver torque maybe is not calibrated for a few days. You know, it kind of drifts.
00:21:43.406 --> 00:21:48.921
Maybe there's cleanliness issue. maybe it could be a lot of things, right?
00:21:49.768 --> 00:21:56.185
And you have one of these issues for, you know, a few hours,
00:21:56.185 --> 00:22:03.530
maybe one shift, or a few days, and then suddenly it can lead to total failure of the product.
00:22:04.551 --> 00:22:11.088
And then everybody goes into panic mode, and then, oh, we withdraw it from the market, sorry.
00:22:11.482 --> 00:22:14.415
There's a problem with at least one production batch. we still need more time
00:22:14.415 --> 00:22:20.080
to think about it, to find really the cause and the root cause of the issue.
00:22:20.509 --> 00:22:26.405
But for now, we stop selling because we don't want to keep delivering 40 products,
00:22:27.045 --> 00:22:30.655
to the market and then have to manage your returns and everything,
00:22:30.655 --> 00:22:32.245
which is much more expensive, right?
00:22:32.745 --> 00:22:36.416
So that happens, that happens.
00:22:36.781 --> 00:22:45.576
And it's much more likely to happen toward the beginning of mass production than six months later.
00:22:46.865 --> 00:22:52.484
Because you do things on a small scale on one or two production lines,
00:22:53.599 --> 00:22:59.895
then you start to ramp up and you don't have, again, as I mentioned,
00:22:59.895 --> 00:23:04.365
all the Quakes engineers and the R&D engineers, everybody also from the Dyson
00:23:04.365 --> 00:23:06.656
side, you know, looking at everything.
00:23:07.703 --> 00:23:11.066
Easy to have someone make a mistake. Very easy.
00:23:11.396 --> 00:23:15.656
That's the problem. Now, six months later, everybody knows, oh,
00:23:15.656 --> 00:23:17.986
we've got to be careful about this, we've got to be careful about that,
00:23:17.986 --> 00:23:22.166
the work instructions are more mature, the way they patrol on the line and when
00:23:22.166 --> 00:23:25.716
they check, and so on, the test fixtures, etc.
00:23:26.296 --> 00:23:29.586
I mean, everything is more mature, much more likely to catch the issues.
00:23:29.586 --> 00:23:35.391
But at the very beginning, that's where it's likely, let's say.
00:23:35.391 --> 00:23:38.456
And I think this is a really good illustration of that because literally this
00:23:38.456 --> 00:23:42.636
is a product that's just gone into mass production and launched so that it kind
00:23:42.636 --> 00:23:46.225
of backs up what you're saying with regard to
00:23:46.840 --> 00:23:51.796
whether it was a batch and they were being cautious by taking it off sale the
00:23:51.796 --> 00:23:56.536
only evidence I've got from Dyson was that they said that and I quote one production
00:23:56.536 --> 00:24:00.700
batch of jet tubes had experienced a process issue right
00:24:01.176 --> 00:24:07.396
so the jet tubes are I think the spread like the part of the assembly that sprays the
00:24:07.876 --> 00:24:12.429
mouthwash-type solution to clean the plaque from the gaps of teeth.
00:24:13.793 --> 00:24:18.426
So one production batch suggests that they probably did have some sort of traceability,
00:24:18.426 --> 00:24:21.178
of course, and they took everything to be safe.
00:24:21.614 --> 00:24:26.843
The only thing is, if it's a defective part to do with the spraying,
00:24:27.453 --> 00:24:28.796
I don't know whether that backs up.
00:24:29.316 --> 00:24:34.826
It could do but like the device is basically dying straight away because that
00:24:34.826 --> 00:24:39.296
to me sounds like water ingress uh which i don't know whether that would be
00:24:39.296 --> 00:24:43.823
so related to that that particular part of the of the device but
00:24:44.310 --> 00:24:48.226
but yeah i think they basically had an issue with a batch and then took everything
00:24:48.226 --> 00:24:51.094
off to be cautious that's that's what happened yeah i mean if it's
00:24:52.676 --> 00:24:57.416
If the product is just taken out of the box, people don't even put water in
00:24:57.416 --> 00:24:59.047
it, and it's not turning on.
00:24:59.645 --> 00:25:03.466
There's probably some other issue, because on the production line,
00:25:03.466 --> 00:25:07.403
I don't think they're testing it with water, not out of it anyway.
00:25:11.557 --> 00:25:16.217
I don't know if they were DOA or whether the people started filling them up
00:25:16.217 --> 00:25:19.807
and tried to turn it on and then basically they just stopped working straight
00:25:19.807 --> 00:25:21.525
away. I think it's more the latter.
00:25:23.371 --> 00:25:24.915
Yeah, it might be.
00:25:25.704 --> 00:25:29.957
So you were talking about some
00:25:29.957 --> 00:25:33.717
of the issues that can go wrong as we get towards the mass production.
00:25:33.885 --> 00:25:39.981
And this kind of ties back into having a structured MPI process, right?
00:25:40.934 --> 00:25:42.604
Yeah, very much so.
00:25:44.080 --> 00:25:49.676
You develop a complex, ambitious project like this, obviously with a big budget,
00:25:50.233 --> 00:25:56.034
and you target relatively high volumes, you get to go.
00:25:59.694 --> 00:26:05.575
With a relatively serious and nicely resourced NPI process.
00:26:06.724 --> 00:26:11.274
So you work with a manufacturer that knows what they're doing and can put a
00:26:11.274 --> 00:26:17.944
lot of engineering resources, on this, but also on your side,
00:26:17.944 --> 00:26:20.184
you try to guide things, right?
00:26:20.701 --> 00:26:27.004
You try, even when the product is still in development, you already try to get
00:26:27.004 --> 00:26:34.938
to make some builds, even with runs of 20, 50 pieces or even more units, I should say,
00:26:35.642 --> 00:26:38.674
and try to see, okay, it's breaking here, it's breaking here,
00:26:38.694 --> 00:26:42.016
it's breaking here, it's breaking here, we have all these issues. that's fine.
00:26:42.538 --> 00:26:47.094
Now we're in a much better position in the next run, in the next sort of design
00:26:47.094 --> 00:26:52.024
iteration, to do it right. And then again we try to force it through all the
00:26:52.024 --> 00:26:55.487
way to manufacturing the parts.
00:26:56.674 --> 00:27:01.441
At some point you start to make it maybe with soft tooling much earlier than you would otherwise.
00:27:01.714 --> 00:27:08.041
And you assemble, you test, you pack, you do extra testing for reliability etc.
00:27:08.337 --> 00:27:15.821
And then you kind of see all the issues that you have, but by doing this repeatedly,
00:27:16.216 --> 00:27:18.108
three, four, five times.
00:27:19.464 --> 00:27:24.004
You develop the muscle everywhere, including at the manufacturer's place,
00:27:24.503 --> 00:27:28.754
about, okay, this is exactly how we do this, and this is exactly how we check
00:27:28.754 --> 00:27:30.649
quality, and this is exactly how we test,
00:27:31.794 --> 00:27:34.834
the products, and this is how we do this, and this is how we do that.
00:27:38.374 --> 00:27:39.303
And you really,
00:27:40.439 --> 00:27:49.650
try to think of the risks and you try to put the finger on the highest sources
00:27:49.650 --> 00:27:54.268
of risk and you try to implement corrective actions for all of them, right?
00:27:54.559 --> 00:27:57.860
Because, again, you have time. You're starting to do all this and you see all
00:27:57.860 --> 00:27:59.539
the things kind of breaking and.
00:28:00.600 --> 00:28:03.820
You audit the component suppliers, you audit this, you audit that,
00:28:03.820 --> 00:28:09.190
you keep looking for issues, and then you start to have a long to-do list and
00:28:09.190 --> 00:28:11.633
then a lot of people have to do a lot of the work, right?
00:28:12.081 --> 00:28:17.660
But that's how you get to the point where by the end of production validation,
00:28:18.320 --> 00:28:25.650
we'll call free production, you are already ready to make the product.
00:28:25.650 --> 00:28:29.770
Now, not a very high first pass yield, right? Meaning that some of the products
00:28:29.770 --> 00:28:32.030
still have to be reworked and so on.
00:28:32.308 --> 00:28:36.430
Okay, but it's getting better and better. you're already at a point where you
00:28:36.430 --> 00:28:42.299
can go ahead and start to sell products and have a plan for ramping the quantity up.
00:28:43.060 --> 00:28:46.850
If you don't do all this, say, okay, let's just make some prototypes,
00:28:46.850 --> 00:28:51.687
like on a bench, without really involving the manufacturing partner,
00:28:51.919 --> 00:28:53.812
without really doing all the testing.
00:28:54.090 --> 00:28:59.280
Okay, I see this issue, this issue, you know, let's just go as an engineering team.
00:28:59.280 --> 00:29:03.172
Let's just do the next iteration, next iteration. Okay, now we throw it over the wall,
00:29:03.718 --> 00:29:07.410
to a company that will start to make the mold because now we're in a hurry,
00:29:07.410 --> 00:29:12.370
but we need to start to get the mold done, and then the PCBA supplier,
00:29:12.370 --> 00:29:16.303
and we get all this with the different parts, and we put it together.
00:29:17.320 --> 00:29:20.063
And we engage a contract manufacturer that would make it.
00:29:20.860 --> 00:29:28.470
That's the wrong way, right? You need to have the manufacturer do reviews and
00:29:28.470 --> 00:29:30.183
tell you what the issues are, right?
00:29:30.566 --> 00:29:36.280
What we call design for manufacturing, for testability, for quality, etc.
00:29:37.860 --> 00:29:42.010
But also people call it DFX, design for excellence, because it's not just designed
00:29:42.010 --> 00:29:44.855
for manufacturing and assembly. It's much more than that.
00:29:46.041 --> 00:29:51.496
If you don't integrate the feedback from a good manufacturer,
00:29:52.198 --> 00:29:55.732
you're going to have all kinds of issues when you industrialize.
00:29:57.766 --> 00:30:03.345
And we don't know exactly what process Dyson has followed in this particular
00:30:03.345 --> 00:30:08.996
case, but because of the nature of their product, right, which is an innovative product, which
00:30:10.155 --> 00:30:14.137
involves many, many patents and a lot of, you know, engineering,
00:30:14.747 --> 00:30:19.013
it's probably you would argue a riskier proposition right
00:30:19.530 --> 00:30:25.275
so they've gone for what looks like a big bang release first of september on
00:30:25.275 --> 00:30:31.767
sale in many many markets right which then compounds the problem if people start getting failures
00:30:32.231 --> 00:30:36.165
you're just going to have a lot more in one big go which then as we see with
00:30:36.165 --> 00:30:40.358
the with the bad press and all the rest of it gives you more of a problem
00:30:40.788 --> 00:30:45.865
would you say that for a product like this in your opinion maybe like a phased
00:30:45.865 --> 00:30:51.144
release would be a bit less risky so maybe just testing one market first
00:30:52.312 --> 00:30:59.934
So it's always going to be less risky if you go more gradually to market, right?
00:31:00.520 --> 00:31:06.637
But then you lose a lot of the free press, you know, free publicity.
00:31:07.635 --> 00:31:13.184
And that, in the case of a company like Dyson or Apple, right,
00:31:13.607 --> 00:31:20.308
they have, I'm going to say, there's a lot of journalists that want to cover the latest gadgets.
00:31:20.308 --> 00:31:25.416
Yeah, and talk about it, right, including in leading publications.
00:31:25.735 --> 00:31:34.408
So when you are at that point, missing that free publicity is extremely expensive, right?
00:31:34.843 --> 00:31:38.388
Or missing a part of it. So you say, well, we're just going to start to sell
00:31:38.388 --> 00:31:42.278
it just in the UK, and that's it.
00:31:42.278 --> 00:31:46.438
Then the newspapers in the US are much less likely to cover it.
00:31:46.438 --> 00:31:50.788
And then when you say, oh, we start to sell it in the U.S., well,
00:31:50.788 --> 00:31:54.148
it's much less of a novelty. So, you know, again, you're not really going to
00:31:54.148 --> 00:31:58.901
get covered. So I can understand why they want to do that.
00:31:59.116 --> 00:32:06.197
And what Apple does in this case is that they will study the processes to death.
00:32:06.958 --> 00:32:10.808
You know, they would make so many parts and study them, you know,
00:32:10.828 --> 00:32:16.581
or see statistically, do we have a problem here, or is the process stable, and so on.
00:32:17.283 --> 00:32:23.788
Let's make a lot of units, and let's subject them to a lot of testing,
00:32:23.788 --> 00:32:31.487
and do this and do that. And they basically have a nearly unlimited budget, right?
00:32:32.415 --> 00:32:40.618
And time also is less important than quality, right? So, they have an unlimited
00:32:40.618 --> 00:32:44.601
budget of money and time, basically, to get to where they want.
00:32:44.996 --> 00:32:48.928
And they don't release something in beta, right? They will release something
00:32:48.928 --> 00:32:55.228
that has to be up there in terms of quality, reliability, etc. So, they have to...
00:32:56.844 --> 00:33:00.451
They have to put in a lot of money and a lot of time, right?
00:33:00.602 --> 00:33:06.436
Now, Dyson, from what we see, puts a lot of time or so, and they probably put a lot of money.
00:33:07.166 --> 00:33:08.862
But you still have the risk, right?
00:33:09.704 --> 00:33:16.394
And if you're Apple and you release a new phone, well, you have so much expertise
00:33:16.394 --> 00:33:20.271
in what can go wrong on a phone and how people exactly use the phone and everything,
00:33:21.535 --> 00:33:26.599
you're much more likely to prevent these kind of issues Then if you're Dyson,
00:33:27.017 --> 00:33:31.510
you go from basically air blowers to water blowers, right?
00:33:31.891 --> 00:33:40.458
That is a big, big change. It really is about waterproofing issue. I'm not surprised.
00:33:42.144 --> 00:33:46.214
But this is sort of a big company or big brand, I should say,
00:33:46.214 --> 00:33:48.022
big brand problem, right?
00:33:48.823 --> 00:33:52.654
A lot of people listening are not in this case. They're not going to get free
00:33:52.654 --> 00:33:55.607
publicity just because they have something out there, right?
00:33:55.961 --> 00:34:01.664
They're not going to be in all the top publications. So in a lot of cases,
00:34:01.664 --> 00:34:04.111
what we suggest is don't do that. Don't rush.
00:34:04.835 --> 00:34:08.454
Sort of said, you know, get some real users, not your family,
00:34:08.454 --> 00:34:13.623
not your friends, to use it, give you feedback after one or two months.
00:34:14.302 --> 00:34:17.561
And that's how you prevent this kind of issue.
00:34:18.159 --> 00:34:22.344
And don't make it very visible, like on a Kickstarter or something like that,
00:34:22.344 --> 00:34:24.998
because then a lot of companies in China will see it also.
00:34:25.154 --> 00:34:29.108
If you don't want that, do everything offline at the beginning, right?
00:34:29.514 --> 00:34:33.324
When you're really ready to push and put a lot of fuel in it and everything,
00:34:33.324 --> 00:34:37.484
then you can do a lot of things online and have a lot of visibility,
00:34:37.484 --> 00:34:44.299
which brings you more customers, but also maybe more competitors, right? But until then,
00:34:45.584 --> 00:34:51.112
don't do everything online and don't be worried about talking to real users right,
00:34:51.838 --> 00:34:56.604
i mean it's not like they have a cousin within shenzhen hungry to copy you right
00:34:56.888 --> 00:35:02.555
just you know get your products in in people's hands real people right so,
00:35:03.417 --> 00:35:09.969
that's the advice we keep telling companies that sell a new product but they don't always listen.
00:35:10.670 --> 00:35:15.017
Yeah yeah one other thing i've thought about is that no doubt because we're
00:35:15.017 --> 00:35:19.767
coming up into the christmas period now that's why they've launched in the september
00:35:20.056 --> 00:35:24.817
and i imagine that if they didn't launch at this time of the year
00:35:25.297 --> 00:35:29.960
it would have been pushed back to next year and you don't want to miss the christmas period so
00:35:30.529 --> 00:35:36.735
so that that that time scale doesn't surprise me for dyson but yeah if you're
00:35:37.036 --> 00:35:40.057
if you're a smaller sme maybe the
00:35:40.857 --> 00:35:45.736
the not pushing so hard is is definitely sensible i can understand that
00:35:46.717 --> 00:35:51.887
can we finish off just by talking a little bit about when we get products in
00:35:51.887 --> 00:35:57.397
the field finally and when we start to get reports back from customers hopefully
00:35:57.717 --> 00:36:01.212
not too many negative ones right but what's what
00:36:02.217 --> 00:36:07.357
what would you do to manage sort of field failures what sort of process would
00:36:07.357 --> 00:36:09.082
you suggest can be followed.
00:36:10.052 --> 00:36:14.168
Yeah, there is a process about that. I'm pretty sure they have something about that, but,
00:36:14.881 --> 00:36:21.029
you try to gather a lot of information and fail samples as fast as possible,
00:36:21.522 --> 00:36:26.316
and send all of that to a central point that will be able,
00:36:27.156 --> 00:36:30.076
to classify it and see if there are patterns.
00:36:32.657 --> 00:36:37.823
And then it's about classifying it, doing a paratoanalysis, and working on,
00:36:38.428 --> 00:36:44.616
the top one, two, three types of issues, fitting this back to product design
00:36:44.616 --> 00:36:47.976
and manufacturing processes and whatever.
00:36:48.643 --> 00:36:50.976
Maybe it's a component, maybe it's whatever.
00:36:51.748 --> 00:36:56.085
Maybe a tube or whatever it is in this case.
00:36:57.503 --> 00:37:04.916
And trying to find ways to improve. But you You should not focus,
00:37:06.434 --> 00:37:13.056
excessively on getting the products and managing the returns to keep customers
00:37:13.056 --> 00:37:14.022
happy, that's one thing.
00:37:14.643 --> 00:37:20.426
But here, it's very important to get the learning and to push all of that again
00:37:20.426 --> 00:37:23.284
in a central location or in central software somewhere.
00:37:23.807 --> 00:37:27.064
Everything categorized the same way, analyzed the same way.
00:37:27.958 --> 00:37:33.882
And based on that, okay, what is the next step? Do we have a big problem? Do we have a problem?
00:37:35.232 --> 00:37:38.845
What can we do now to reduce the risk, right?
00:37:39.477 --> 00:37:45.142
Yeah. And I guess we have to accept that there's never going to be zero issues
00:37:45.142 --> 00:37:47.342
when we bring a new product to market, right?
00:37:47.342 --> 00:37:53.329
But as you've said, find those issues quickly, find them early,
00:37:53.816 --> 00:37:59.502
and take action quickly to prevent it from becoming a massive crisis,
00:37:59.502 --> 00:38:03.162
which appears to be what Dyson did with this particular batch.
00:38:03.358 --> 00:38:09.062
Because as I say, they're back on sale now. So one assumes that Dyson are confident
00:38:09.062 --> 00:38:13.282
that that particular issue is now not an issue if they're back on sale.
00:38:13.282 --> 00:38:17.769
So they've clearly taken quite quick action with that.
00:38:18.077 --> 00:38:22.882
With regards to the products, I mean, we've discussed the difficulties of making waterproof products.
00:38:22.882 --> 00:38:26.952
So that's probably a takeaway for the listener if you're thinking of going into
00:38:26.952 --> 00:38:31.432
that particular category or an electronic consumer product that needs to be
00:38:31.432 --> 00:38:34.478
waterproof, even if it's not an oral care product.
00:38:34.745 --> 00:38:39.032
Yeah, the risks involved there. Maybe you might need a longer development time
00:38:39.032 --> 00:38:44.138
and more validation before going to market than a product that doesn't need to be waterproof.
00:38:44.294 --> 00:38:47.203
So that's food for thought, I think, as we leave the listener.
00:38:48.522 --> 00:38:51.142
Yeah, I agree. All right. All the first to add.
00:38:51.922 --> 00:38:55.483
So yeah if you're listening let us know if you bought one of these dyson
00:38:56.014 --> 00:39:01.092
toothbrushes or camera jets and um what what were your experiences with it we
00:39:01.092 --> 00:39:03.642
don't have one yet maybe somebody will buy me one for christmas
00:39:04.102 --> 00:39:08.852
i don't know right but but yeah be interesting it's certainly an innovative
00:39:08.852 --> 00:39:10.082
and interesting product and
00:39:10.522 --> 00:39:15.019
and yeah they're going into new territory here so i suppose some teething problems
00:39:15.385 --> 00:39:19.460
are to be expected with products like this so that's what we've been focusing on today thanks for now
00:39:20.729 --> 00:39:23.893
All right thanks that was an interesting case i think.
00:39:24.687 --> 00:39:25.906
Yeah that's it so
00:39:26.306 --> 00:39:31.206
When we talk about um a prog lounge usually that's because there are issues.
00:39:32.142 --> 00:39:37.202
Yeah well unfortunately yes unfortunately but at least it's a learning experience
00:39:37.202 --> 00:39:41.673
so there's always something we can take away from it and learn so thanks dyson for that
00:39:42.842 --> 00:39:45.482
Right all right let's limit that then.
00:39:46.282 --> 00:39:52.192
Right okay uh we'll be back next week. Thanks again for listening to this podcast
00:39:52.192 --> 00:39:53.913
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