How TikTok Creators Are Crowdsourcing Product Design

Lucas: So there's this beauty creator, Miki Rai – she's got about two point three million followers on TikTok, which is sizable but not mega-influencer territory. A few months ago she posted a video that wasn't a tutorial or a review. It was a question: 'What's one thing you hate about every makeup sponge you've ever used?' Luna: And the comments exploded, right? I think I saw that video – thousands of replies. Lucas: Over seven thousand comments. People complained about density, shape, the way they absorb product, the durability. She read every single one, categorised the top five complaints, and then she posted a second video: 'Okay, I'm designing a sponge that fixes these. Which two features matter most?' Luna: So she's essentially using her audience as a free focus group – and a massive one at that. Lucas: Exactly. And this is the part that's interesting – she didn't have a product yet. No prototype, no manufacturer lined up. She was testing demand and gathering specs simultaneously. The second video got another three thousand responses, so she knew exactly what to prioritise. Luna: What were the top two fixes? Lucas: A softer, more pliable texture, and a shape that lets you get into the corners around your nose and eyes. So she worked with a small manufacturer she found through a TikTok connection – actually another creator who had launched a similar product – and she kept posting updates. Each update video generated more feedback, more refinement. Luna: It's like iterative design, but the iteration happens publicly, in real time, and the audience feels like they're part of the process. Lucas: That emotional buy-in is the real product. By the time she was ready to launch, she had a list of maybe ten thousand people who had directly commented on the design. She didn't need to spend a dime on ads. She just posted a launch video with a pre-order link, and sold out her first batch in under six hours. Luna: What was the price point? Lucas: Eighteen dollars per sponge, which is premium for a makeup sponge – Beautyblender is around twenty. So she wasn't competing on price. She was competing on 'you helped design this.' And that story alone probably drove more sales than any discount could. Luna: I want to break down the mechanics here, because this feels replicable for creators who aren't at two million followers. What's the minimum viable audience for this approach? Lucas: I think you need maybe ten thousand engaged followers. The key isn't total reach, it's the percentage of your audience that actually comments. If you have fifty thousand followers but only fifty people regularly comment, that's not enough signal. But if you have ten thousand followers and a comment rate of two percent, that's two hundred data points – plenty to identify the top three pain points. Luna: And you don't need to design a physical product. The same logic works for digital products – templates, courses, e-books. Ask your audience what they struggle with, then build the solution. Lucas: Exactly. I've seen creator economy analysts call this 'the ask-first model.' It flips the traditional product development process on its head. Normally you'd build a product, then try to find customers. Here you find the customers first, and they tell you what to build. Luna: It also reduces risk. The biggest killer for small product launches is inventory that doesn't sell. With a pre-order model, you only produce what's already bought. Lucas: Right. Miki Rai didn't have to guess how many sponges to manufacture. She had exact numbers from pre-orders. And because her audience felt ownership, the unboxing videos and reviews were overwhelmingly positive – people were reviewing their own suggestions. Luna: There's a psychological principle here, I think – the IKEA effect, where people value something more if they've contributed to its creation. Lucas: That's exactly what's happening. The sponge isn't just a sponge. It's a co-created artifact. And that narrative is perfect for TikTok because it's inherently shareable. The story of 'I asked, you answered, here's the result' is a content loop that keeps giving. Luna: How long did the whole process take from the first ask video to the pre-order launch? Lucas: About seven weeks. She posted the first ask video in early March, had the prototype by late March, shared a testing video in April, and launched the pre-order in mid-April. Fast by traditional standards, but slow enough to build anticipation. Luna: That timeline matters. If you stretch it too long, you lose momentum. But if you rush the feedback phase, you might miss something. Lucas: Another creator I've been watching, a guy named Jason Wong who does desk accessories – he used a very similar playbook. He asked his audience what their biggest desk organisation pain point was. The winner was cable management. So he designed a modular cable clip that attaches to any desk edge. Luna: And I assume he posted the design process on TikTok as well? Lucas: Every step. He showed the 3D-printed prototypes, the material choices, even the failed versions. His audience felt like they were in the lab with him. He launched on Kickstarter, not a pre-order on his own site, but the same principle – community-validated product. He raised two hundred thousand dollars in the first week. Luna: So the pattern is: ask, iterate, show the process, then drop the product. And the content itself becomes the marketing. Lucas: That's the framework. And it works for B2B, too. I know a marketing consultant who used TikTok to ask small business owners what their biggest analytics blind spot was. The answer was understanding TikTok traffic versus other sources. So he built a simple dashboard template, sold it for thirty-nine dollars, and made over fifty thousand dollars in three months. All from a series of ask videos. Luna: That's brilliant because the product is almost secondary. The real value is the community validation and the story. Lucas: Which brings me to a potential pitfall. You can't fake this. If you ask for feedback but then ignore it, your audience will notice. Miki Rai was meticulous about referencing specific comments in her update videos. She'd say, 'Sarah said the sponge should have a pointed tip – so I added that.' That transparency builds trust. Luna: And it also generates more comments for the next round, because people see their input was used. Lucas: Exactly. It's a virtuous cycle. The more you incorporate feedback, the more feedback you get. And the launch becomes not just a transaction but a celebration of the community's contribution. Luna: I want to talk about the numbers. What's the typical conversion rate from commenter to buyer in these cases? Lucas: There's not a ton of public data yet, but from the examples I've seen, the conversion rate among active commenters is high – maybe twenty to thirty percent. Because these are your most engaged fans. They've already invested time and emotional energy. But the total addressable audience is smaller than a typical ad campaign. So you need to decide: do you want a small group of super-loyal buyers, or a broad reach with lower conversion? Luna: And for most creators starting out, the super-loyal approach is more sustainable. You build a foundation of advocates who will buy your next product, and the next. Lucas: Right. And then you can scale the audience through the product launch content itself. The launch video for Miki Rai's sponge got over three million views – far more than her typical video. Because the narrative was compelling even to people who had never commented. So the launch expands your reach, which fuels the next product cycle. Luna: It's like a flywheel. Ask → build → launch → grow audience → ask again. Lucas: Exactly. And I think we're going to see more creators adopt this model because it solves two problems at once: product-market fit and marketing. You're essentially doing market research and advertising simultaneously. Luna: One thing I'm curious about – does this work for physical products that require significant upfront investment in tooling or minimum order quantities? Miki Rai's sponge probably had a reasonable MOQ, but what about something like a custom electronic device? Lucas: That's harder. If the MOQ is ten thousand units and each unit costs fifty dollars to produce, you're looking at a five hundred thousand dollar commitment. In that case, the pre-order model is essential to validate demand before committing capital. But you can still use the ask-first approach to refine the design. Just be transparent with your audience about the financial constraints. Luna: And maybe use a platform like Kickstarter to de-risk further. Lucas: Exactly. Kickstarter or Indiegogo serve the same function – community validation plus funding. The TikTok ask videos become the traffic driver to the crowdfunding page. Luna: I also think this model works particularly well for creators who already have a niche. If you're a fitness creator, ask your audience what equipment they wish existed. If you're a cooking creator, ask what kitchen tool is missing. Lucas: The niche gives you the focus. A general lifestyle creator might get too broad a set of requests to act on. But a narrow niche generates concentrated, actionable feedback. Luna: Alright, so if a creator wants to try this, what's the step-by-step? First video: ask a specific question about a pain point. Second video: share the top complaints and ask for prioritisation. Third phase: show the prototyping process, incorporating specific suggestions. Fourth: launch with a pre-order. Lucas: That's the skeleton. I'd add a fifth step: after the product ships, do a follow-up video asking how people like it and what to improve for version two. That keeps the cycle going. Luna: And for the first ask video, any tips on framing the question to get high-quality responses? Lucas: Be specific. Don't ask 'what do you want?' That's too vague. Ask 'what's the one thing about X that frustrates you the most?' Or 'if you could change one thing about Y, what would it be?' The more specific the question, the more specific the feedback. Luna: And include a call to action like 'comment below' – obvious but important. Lucas: Absolutely. And pin your own comment that summarises the question, so even if the caption gets cut off, people see it. Luna: We've talked a lot about the creator's perspective, but I'm also thinking about the business side. If you're a brand looking to launch a product, could you partner with a creator to do this? Let them ask their audience, then co-develop the product? Lucas: That's happening. I've seen brands approach creators with a 'we'll manufacture whatever your audience asks for' deal. The creator gets a revenue share, the brand gets validated product ideas and a built-in launch audience. It's like a distributed R&D department. Luna: That seems like a win-win, as long as the creator maintains authenticity. If the audience feels like the feedback is just being used to sell them something, the magic disappears. Lucas: The key is genuine responsiveness. If the brand or creator actually makes changes based on feedback, the audience can tell. If they just pretend to listen, it backfires. Luna: So what's the next evolution of this model? Where do you see it going in the next year or two? Lucas: I think we'll see tools that make it easier to aggregate and analyse comment data at scale. Imagine a platform that lets creators pull all comments from a video, categorise them by sentiment or topic, and export the top requests. That would lower the barrier even further. Luna: There's already some AI tools that do sentiment analysis on social comments, but they're not tailored for product design yet. Lucas: Right. And I also think we'll see more creators using this model for digital products, because the iteration cycle is faster. You can ask for feedback, build a template in a day, and launch the next week. Luna: Which brings up a point: this model works best when you can iterate quickly. Physical products require longer lead times, but digital products can move at the speed of TikTok. Lucas: Exactly. And the beauty is, the content itself – the ask videos, the prototype reveals, the launch – is all content that feeds the algorithm. So you're not just building a product, you're building a content library. Luna: If these marketing conversations have sparked something you've actually used in your own strategy, that's exactly why we keep this show ad-free. Listener support is what makes it possible. Lucas: Yeah, if you've gotten value from the episodes – maybe a tactic you've tried or a framework you've shared – and you want to help keep the show independent, you can support us at buy me a coffee dot com slash fexingo. No pressure, just a way to keep the conversations going. Luna: Right. And on that note, I'm curious – for creators listening, what's the one product you wish your audience would ask for? Start that ask video today. Lucas: Great challenge. Because the data is already in your comments. You just have to ask the right question.