FindOurView – instant user research insights your team can chat with

Hacker News

We built FindOurView because user research is slow and painful. We’ve spoken with hundreds of product managers, designers and user researchers to understand the problems they face when doing their user research. We heard over and over that it takes too long to synthesize results and align the team after interviews. FindOurView is a user research platform that gets you discovery insights fast, no manual tagging required. What's inside: - A Platform that instantly evaluates your hypotheses - A Slackbot to bring your user research into decisions Our AI gives you a running start by reading your interview transcripts, tagging and pulling quotes about your hypotheses, and giving you a rationale on each validation or invalidation done. This cuts out the majority of manual work in discovery synthesis, but we also keep you in control - you can always edit any result or decision reported by the AI. After all that, you can hop in slack and ask our Slackbot more questions about your data, so you and your team can bring your user research into your team's decision making process. Excited that we just launched on Product Hunt this week. Our product is free to try out, and we'd love to hear any thoughts, feedback or questions you'd like to share. Thank you HN community!

Visit product View on Hacker NewsOct 19, 2023

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Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: slack, user · Missing: mac, agents, macos

96%96% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

85%85% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: excited, lua, ide · Missing: https docs, just released, exist

49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal

40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews

36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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