How I stopped picking features by whoever messaged me last

The honest version of how I used to plan a sprint: I opened Slack, scrolled until something annoyed me, and built that. A handful of DMs about a confusing settings screen felt more urgent than a pile of quiet survey responses about CSV export, because the DMs had names attached and the survey was a CSV I never reopened. I was optimizing for the loudest recent message, not the most common problem.

That is a data problem, not a discipline problem. The feedback existed. It was spread across channels with no shared shape, so my brain did the aggregation, and my brain is bad at counting. Recency bias is well documented; knowing its name did not stop me from shipping the loud thing. What I wanted was boring: paste the raw lines, see them grouped by theme, see a count next to each theme, and get one suggested "build next" pick I could argue with.

The count is the whole feature

A spreadsheet does not solve this, and I tried. Pivot tables only work once you have decided what the buckets are, and deciding the buckets is the hard part. Real feedback arrives as near-duplicates: "export is broken", "can't get my data out", "CSV download fails", "the download button does nothing". Four rows, one theme.

So the first thing the tool has to do is group by theme, not by keyword. The output I care about is a short list of themes with a frequency count on each. That count is the part I could not produce reliably by scrolling. Once I can see something like "export: 12, settings: 3, onboarding: 3", the conversation with myself changes. I am no longer asking what I feel like building; I am asking whether the biggest cluster is also the one that matters most, which is a much better question and one I can answer with context the tool does not have.

I built FeedbackHub around exactly that narrow job: you paste feedback lines from Slack, DMs, or surveys, and it returns theme buckets, a frequency count, and a suggested build-next pick. There is no spreadsheet step in the middle, which sounds like a small thing until you remember that the spreadsheet step is where I used to give up.

Why I kept it paste-first

Paste-first makes the input honest. What you see grouped is exactly what you pasted. There is no hidden filter, no date window someone else chose, no channel silently excluded, and no retention policy to think about. If a theme is missing, it is probably because you did not paste those lines, and you can go get them. That is a real trade-off: nothing updates on its own, and the tool has no idea what happened after you closed the tab. It is decision-support for one triage session, not a live audit of your product, a monitoring system, or a certification of what your users want.

Reading the build-next pick honestly

The suggested pick is the feature I was most tempted to oversell, so I will be blunt about it. A frequency count tells you how often a theme appeared in the text you supplied. It does not tell you how much a theme is worth, how hard the fix is, whether the reports are duplicates from one very persistent person, or whether the people asking are the people you most want to keep. Ten free-tier users requesting a dark mode and one blocked team that cannot export its data are not the same weight, and no count will tell you that.

I treat the build-next pick as a starting hypothesis, not a verdict. Its value is that it is written down and tied to a count, so when I override it I have to say why, out loud, in the planning doc. That small friction is the actual improvement in my process. The tool does not prioritize for me; it stops me from prioritizing by accident, which is the failure mode I actually had.

If your current roadmap process is "scroll Slack and go with your gut", an afternoon of pasting last month's messages into FeedbackHub will at least show you the shape of what people asked for. What you build from that is still your call, and it should be.

FAQ

Does it connect to Slack or read my surveys automatically?

No. It is paste-first. You bring the lines, it groups what you pasted. There is no live sync, no token, and no background collection.

Is the frequency count a real measurement of demand?

No. It is a count of how often a theme appeared in the text you supplied. Importance, effort, and who is asking still need your judgement.

Can I treat the build-next pick as a decision?

Treat it as a starting hypothesis. It is decision-support, not a live audit, a certification, or a guarantee that the pick is right for your business.