... creating friction. For founders who sell productivity or workflow software: how much of you early churn is actually people getting overwhelmed by the breadth of your app before experiencing a single win? How did you ruthlessly cut down your onboarding flow ...

... sign-up flow. But tracking analytics showed that users who didn't complete setup within their first 15 minutes almost never came back. Adding just one required setup screen cut our drop off rate significantly. Do you prefer keeping onboarding completely frictionless, or is adding a bit of friction worth it if it guides users to value faster ...

... Someone told me they almost quit during onboarding. Not because it was broken. Because they could not tell if they were doing it right. There was no feedback, no confirmation, no sense of progress. Just steps that seemed to accept input and move on without telling them whether the input was correct. I had built onboarding

... have a multi-step onboarding wizard in Next.js that ends on a generated result page. All my checks passed. Then I finished the flow by hand, pressed the browser Back button on the result page, and landed in onboarding

... painful. Users were getting completely stuck on things we assumed were intuitive, dropping off before they even touched our primary feature. For builders and indie hackers: what methods or tools finally opened your eyes to your own onboarding blind spots? Comment from George Basov(@gbasovv): Two rules from my onboarding

... accounts are going dormant almost immediately, panic usually sets in. The knee-jerk reaction is to completely freeze feature development and overhaul everything, which usually just stalls the whole company. We had to figure out how to patch the onboarding leaks while still keeping things moving forward. For founders who managed to transition from top-of-funnel acquisition to real retention, what was the first actual change you made that worked ...

... automated our entire onboarding process to let users jump straight into the app without talking to anyone. But our conversion rates plummeted because user got confused by complex settings and gave up before seeing the core value. It made me realize that removing friction sometimes removes the guidance people actually need to succeed. How do you strike the right balance between a fully self-serve signup flow and high-touch human onboarding

... they churned within 48 hours because they had no idea how to set up their workspace. Adding a bit of purposeful friction (like a quick setup wizard) actually improved our long-term retention. It made me realize that fast onboarding isn't always better onboarding

... been paying closer attention to onboarding flows lately. A pattern I keep noticing is that products often try to explain everything before the user has done anything. Feature tours, tooltips, welcome screens, setup questions all before the user has experienced the core value. I used to assume more explanation meant less confusion. Now I m not so sure. The products I remember most clearly tend to get me to one useful action first, then explain things when they become relevant ... ... interested in how other makers think about this: At what point does helpful onboarding

... Noticed a weird pattern recently. A lot of users finish every onboarding step look around for two minutes and then never log in again. Meanwhile some people just click skip on everything find one useful feature right away and become daily users. Tracked completion rates for months thinking it meant success but it doesn't seem linked to actual retention at all. Are you guys trcking onboarding

... deal. Within six months, our dashboard was cluttered, and new signups kept getting confused during their first login. We recently stripped away 40% of the minor features and refocused the entire workflow on solving just one core problem. Onboarding completion jumped almost overnight. Do founders overcomplicate their products too early, or is a broad feature set necessary to compete today ...

... creating an account A ready-made plan should be available immediately The product shows too many features before demonstrating its core value For founders who have dealt with a similar problem: How did you separate poor targeting from poor onboarding? Which event did you use as your activation metric? Did delaying registration improve activation? What qualitative or quantitative data would you collect before changing the onboarding

... account. Three things I'd love your take on: Is it clear within a few seconds what the product is for? Does separating facts from assumptions feel useful, or like extra work? Where would you drop off in the onboarding? It's live here if you want to try it: https://www.producthunt.com/prod... It's an early beta, so blunt feedback is the most useful kind ...

... that no tweaks to the subject line have managed to change. I used to equate open rate with interest level. Now I realize that all it means is that our subject lines were good and that we sucked at onboarding. Anyone who has ever had to deal with a problem like this, was the solution something to do with the email, the timing, or something about the product itself that emails couldn't solve ...

... facing an onboarding challenge with an invite-based B2B platform Our customers invite external partners who need to accept an invitation, create a profile and configure their account before they can begin collaborating Today, this often requires a demo involving both companies That works when a customer has a few partners, but becomes difficult when they need to onboard

... them a simple starting task let them explore everything themselves use videos/tutorials hide most features until they need them or something completely different? Especially interested in products that are not immediately obvious in the first minute . How do you onboard users into something complex? Comment from Karina(@karina32): We're building Protocall (messenger + calls + calendar in one place), and ended up mixing a couple of these: on first use, we show inline hint messages inside the chat itself explaining what ... ... about all the site's features. Unfortunately I can't share the link here yet, but if you search for PresupuestoYa , you'll find it in my profile. Comment from Anastasiia(@alieksia): We are planning to use AI onboarding

... building Expertise, a platform where GTM experts publish their playbooks as skills that businesses run on their AI agents, and there's a debate that comes up with every expert we onboard: should a skill be open or locked? Before building, we looked at why prompt marketplaces and open skill catalogs kept dying. A playbook written as text is just a string, and a string gets copied the moment it's worth copying. And there's a newer twist ...

... first 200 users were door to door. I called my school friends, my ex-colleagues, my university mates, people I met on networking events. Anyone that (kinda) fit my ICP and would respond to my message. 2/ Manual onboarding on calls My co-founders and I manually onboarded

... everyone! Coming off our launch last week, we spent some time digging into our analytics for SoundGate and one metric really stood out: our onboarding drop-off rate is sitting at less than 1%. When we originally sat down to design that first user interaction, we spent a massive amount of time debating and refining the experience. It is incredibly tempting to use onboarding

... want help right there, in the moment. That insight led us to build NINA , an AI assistant that lives inside the product and guides users step by step using the live interface. I'm curious how other builders approach onboarding: What's been the biggest challenge for your users? Have documentation and videos been enough? If you could redesign your onboarding

... week ago I posted here about onboarding the first 30 FounderFlow members personally instead of opening a public signup. The part that actually surprised me was not the onboarding

... Polished onboarding can still be confusing if each step feels like a surprise. After the first action, ask a new user what they think will happen next. Their prediction exposes whether the product's mental model is clear before completion rates do. If five people finish but all five expected a different result, the funnel is technically working and the product is still teaching the wrong thing. Where in your onboarding

... been there for six years. The new employee has no context, no guidelines, no standards, no business awareness... AI is no different. Before expecting strong results, we should give it the relevant context, guidelines and examples. How do you onboard AI? Do you write instructions and examples with every task, or use another approach? And has this improved your results ...

... goal: if you want raw eyeballs go Tue-Thu, but for a badge/ranking with a modest following a weekend can punch above its weight. Comment from Sabber Ahamed(@sabber_ahamed): @busmark_w_nika   @abdullah_javaid3  the invitation vs favor framing is the most useful line in this whole thread. i caught myself drafting DMs that were basically upvote asks in a nicer outfit. what actually worked was showing up in threads like this one for weeks with nothing ... ... most important thing is to launch as soon as you can and keep iterating to improve, and keep launching Especially with how fast everything is moving with AI, waiting for a perfect time to launch will just let competitors

... When we first launched Murror, our onboarding looked like every other app. Five screens. Set your goals. Pick your interests. Create a profile. Upload a photo. 14% of users made it through. The rest disappeared before they ever journaled a single thought. We assumed the problem was friction -- too many steps, too many taps. So we cut it down to three screens. Completion went up to 22%. Better, but still terrible. Then we talked to users who dropped off. What ... ... Users could write one word or three paragraphs. They could be specific or vague. The app responded with: "Got it. Let's start there." Completion hit 67%. But here's what surprised us more: the people who completed this onboarding