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Few know about the @replit Feedback Widget This is super helped for gathering bug reports, suggestions from users, and then feeding that directly back into your chat pane to continue building! The product development lifecycle just got smaller

Nick Co 😎

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26,254 views • 5 months ago •via X (Twitter)

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We are building Dhan based on feedback from our users, and to continue that effort, we invited a select few users to our office last week to try the latest feature 'Super _____' Super _____ will be yours to use this Friday. Stay tuned! 🚀

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My new app is available (in beta) for FREE! 🚀 is the easiest way to collect feedback from your website to improve your marketing & product 📊 I used to collect feedback directly in my database, but every time I wanted to analyze it, I had to open the database, export it to CSV, import to Google Sheets and generate graphs. It's slow and annoying 🐌 Feedback Widget does all that for you automatically! 1️⃣ Create a form 2️⃣ Add the widget to your website (or use the API) 3️⃣ View answers in nice graphs 4️⃣ Get insights to improve your marketing & product The widget is free & unlimited usage, the only paid option is to access the API and remove the branding on the widget Hope it will be useful 😄

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Out of all the things we've shipped recently, this one is my favorite. Instant feedback from any type of user... → Create a persona that matches your real users and buyers. → An AI agent takes on that persona. → Point it at any url or prototype. → Get feedback in minutes. This is what the Reforge team built and launched today with Synthetic Users. It's way more than bug reports, but actual strategic product feedback. → A First Timer notices your onboarding language is confusing → A Skeptical Buyer questions whether your pricing page builds enough trust → A Power User finds friction in your core workflow that your team stopped noticing months ago Every finding links to a session replay so you can see exactly where things broke down. This isn't a replacement for talking to real users. It's an acceleration layer. Run synthetic studies to catch issues fast, then reserve human research for the decisions that matter most. This is critical as AI accelerates the amount of product teams are shipping. If you don't also develop ways to validate faster, you'll just ship tons of product debt. Lots of features that few customers use but create massive costs.

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Q: How do you decide which customers to listen to? As Superhuman founder & CEO Rahul Vohra puts it: “In a world where you’re drowning in feedback—and most startups are drowning in feedback—you have to filter it down to only the stuff that’s going to increase the number of people who fall in love with your product.” Most startups will listen to all feedback from on-the-fence customers, but this isn’t targeted enough and will often lead to a muddled, incoherent product. As Rahul argues in the clip below, you need to identify the main benefit of your product—for Superhuman this was speed. And then focus on the feedback of on-the-fence users who also view this as the main benefit—there’s often something small holding them back. Users for whom your main benefit does not resonate (e.g. Superhuman users who value offline capabilities rather than speed), are unlikely to ever fall in love with your product. When Superhuman ran this analysis in 2015, they found that the main thing holding back users who viewed speed as the main benefit was their lack of a mobile app. Probing further, they found some less obvious and more interesting requests, such as integrations, attachment handling, calendering, unified inbox and read receipts. With a clear understanding of their main benefit and missing features, they were able to move this cohort of users from on-the-fence into the territory of enthusiastic advocates. As Rahul puts it in his Product Market Fit Engine article: “To increase your product/market fit score, spend half your time doubling down on what users already love and the other half on addressing what’s holding others back.” But make sure you’re focusing on users who love the main benefit of your product. Users who don’t are unlikely to ever fall in love with your product.

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