“People just give up and they leave (not telling you why).”
Describe the users you're building for. Noemica designs representative personas, runs them through your production, staging, or local site, and tells you — in plain language — what made each of them walk away.
| what you could do | what a research team would do | what most teams actually do | ||||
|---|---|---|---|---|---|---|
| Noemica | User interviews | Analytics | Ask a friend | Just ship it | Wait for tickets | |
| How soon you find outbefore it costs you something | Tonight | 2 weeks | When a pattern emerges | Next weekend | After launch | After a complaint arrives |
| What it costs to find outin money, time, or goodwill | $0 to try | $500–2,000 | Your time | A coffee, a favor | Refunds & churn | Angry customers |
| Honest, unflattering feedbackno feelings to spare, no acquiescence bias | Yes, candidly | Sometimes | − | Kind by default | − | Only the angriest |
| Catches silent drop-offsthe ones who leave without saying why | Yes | If you ask right | You see the cliff, not the cause | − | − | − |
| Can ask “why did you leave?”follow-up Q&A, at any point | Yes, anytime | Yes | − | Non-committal | − | − |
| Runs on staging or localhostbefore a single real user sees it | Yes | − | − | If they come over | − | − |
“noemica identified our key customer segments, outperformed Shopify's SimGym and revealed new conversion angles I hadn't previously thought of.”
Why operators are looking for what noemica does
Voices from outside our customer base — operators and researchers naming the exact pain that noemica addresses.
“CRO strategy is really just noticing where people hesitate, recognizing that as friction, and deciding whether the hesitation is valid or not.”
“The feedback that doesn't come through support is growing way faster than the feedback that does. Customers are posting about your product on TikTok, comparing you in Reddit threads, and leaving reviews explaining exactly why they switched. None of that shows up in Zendesk.”
“Your checkout isn't the problem. Optimising it won't move the needle. There are only two real reasons people leave at checkout: anxiety — unanswered questions they carry forward — and motivation — no compelling reason to act now. Both are upstream problems.”
“The most underrated skill for building AI products is asking the model to introspect on its own mistakes. The model will explain that something in the system prompt was confusing, or that it delegated verification to a subagent that didn't check its work.”