Six months ago our product discovery process was basically vibes. Someone would show up to standup with a “users keep asking for this” and it would end up on the roadmap. No system, no real patterns, just whoever had the most recent customer conversation winning the argument. We weren’t doing discovery. We were doing organized guessing. The fix cost nothing and takes twenty minutes a week. Every Friday one person goes through that week’s support threads and feedback and writes down three phrases that kept coming up in the customer’s own words. Not solutions. Not roadmap decisions. Just the raw language customers actually used. That single habit changed how we talk about what to build next. The harder part was making sense of patterns across weeks not just individual weeks. We tried spreadsheets, color coded tags, shared docs. All of it fell apart within a month. Eventually we found a small tool called Frank AI that goes through customer conversations and separates what users are asking for from what they actually need. That gap sounds obvious until you realize it was behind almost every feature we shipped that nobody used. We still have no dedicated researcher. We still have no research budget. But we stopped shipping into the void. What are other small teams doing for this? Every product discovery framework I’ve ever read assumes you have actual research infrastructure and none of it translates to teams our size. submitted by /u/Hour-Wafer7611
Originally posted by u/Hour-Wafer7611 on r/ArtificialInteligence