Your customers already told you what to build.

Prisma turns customer interviews, feedback, and product data into evidence-backed specs your team or coding agent can build from.

Start free · macOS

AI can write the code. Nobody is asking what customers actually want.

Coding agents ship features in minutes. But the hardest part was never writing the code. It's knowing what to build next. And that's still answered with gut calls, scattered docs, and a PM skimming Slack.

Slack messaging integrationSlack

“honestly the dashboard is confusing, I just want to see my active experiments without clicking through 3 pages”

Slack messaging integrationsarah.chenin#product-feedback·3d
Linear project tracker integrationLinear

ENG-847 · Dashboard navigation overhaul

Linear project tracker integrationEngineering·1d
feature request
PostHog analytics integrationPostHog

Dashboard page bounce rate ↑ 34%

PostHog analytics integration7d
analytics
GitHub repository integrationGitHub

Issue #312: “Simplify dashboard nav”

GitHub repository integration2 comments·5d
issue
Customer call

“We love the product but our team gets lost in the dashboard. Half of them just gave up and started using the API directly.”

Sarah, Head of Product @ Acme·2d
pain point

The code writes itself now.

Knowing what to build doesn't.

YourYourteamteamshipsshipscodecodefasterfasterthanthanever.ever.PrismaPrismamakesmakessuresuretheytheyshipshipthetherightrightthing.thing.
Prisma logoHow Prisma works

From customer conversation to shipping spec. One workspace.

1

Bring in the evidence

Connect your tools and upload research. Call recordings, docs, data exports. Prisma ingests everything your team already knows but hasn't synthesized.

2

Talk to customers

AI copilot suggests follow-ups in real time, captures both sides of the conversation, and writes the debrief when you hang up.

3

See what keeps coming up

Every pain point, feature request, and usage trend, auto-classified. AI finds the themes that span multiple sources. Patterns you'd miss in a spreadsheet.

4

Ship the spec

A complete feature dossier: problem, solution, technical spec, UI/UX, risks, and acceptance criteria. All grounded in evidence. Hand it to your team or drop it into a coding agent.

Interview Copilot

An AI that actually sits in your customer calls.

Dual audio capture, real-time transcription, contextual follow-ups. Writes the debrief when you hang up. Every insight becomes a signal that feeds your dossiers.

In-call

Follow-up questions based on what they just said. One hotkey.

Post-call

Key takeaways, pain points, and what you still don't know. Done.

Always-on

Every insight feeds your signal stream and research library. Same theme in Slack next week? Flagged. Upload recordings to the Research tab for AI synthesis.

23:14
Sarah Chen· Dashboard feedback
Copilot

Ask copilot... /
Visible
⌘⇧I

Try it — click the buttons above

SIGNALS
142
AllSlack messaging integrationLinear project tracker integrationGitHub repository integrationPostHog analytics integrationJira issue tracker integration
PainRequestsBugsPositiveAnalytics

Dashboard navigation too complex, users can't find active experiments

Slack messaging integrationsarah.chenin#product-feedback·3d
pain point

Export data to CSV from analytics view

Linear project tracker integrationEngineering·1d
feature request

Onboarding flow drops 34% of users at step 3

PostHog analytics integration·7d
analytics

Webhook support for real-time notifications

GitHub repository integration5 comments·5d
feature request

API documentation quality praised by multiple developers

Slack messaging integrationmike.rin#general·12h
positive feedback

Pattern Recognition

Your users keep saying the same thing. Now you can see it.

Pain points, feature requests, bugs, and praise. Auto-classified and deduplicated from every source. The patterns that should drive your next decision, not another inbox to triage.

Cross-source themes

Same pain point in Slack, a ticket, and a call. Linked automatically.

Severity, not volume

Weighted by impact and frequency, not who shouts loudest.

Decision-ready context

Every pattern traces back to real evidence you can cite.

The Spec Workspace

The most impactful features are the ones nobody asked for. Canvas AI finds them.

Slack integrationSlack
#product-feedback
PostHog integrationPostHog
Dashboard Metrics
GitHub integrationGitHub
nicolotognoni/prisma
Feature
Offline Mode
Urgent42 signals
Feature
Quick Actions Bar
In Review18 signals
Feature
In-App Changelog
Proposed9 signals
Feature DossierUrgent

Offline Mode

42 signals·3 sources

74 / 100 evidence score

Problem

Users in low-connectivity environments lose all unsaved work…

Solution

Local-first data layer with background sync on reconnect…

Acceptance Criteria

7 criteria defined — ready for coding agent handoff

Generated from evidence
Open Dossier

Every feature Canvas surfaces links back to real customer quotes, data points, and tickets — never hallucination. It cross-references signals across Slack, analytics, GitHub, and interviews to find the patterns no single person could spot.

Connects to

Slack integrationSlack
Linear integrationLinear
GitHub integrationGitHub
PostHog integrationPostHog
Notion integrationNotion
Jira integrationJira
Slack integrationSlack
Linear integrationLinear
GitHub integrationGitHub
PostHog integrationPostHog
Notion integrationNotion
Jira integrationJira
Slack integrationSlack
Linear integrationLinear
GitHub integrationGitHub
PostHog integrationPostHog
Notion integrationNotion
Jira integrationJira
Slack integrationSlack
Linear integrationLinear
GitHub integrationGitHub
PostHog integrationPostHog
Notion integrationNotion
Jira integrationJira

Frequently asked questions

A macOS app that connects to your existing tools, classifies product evidence into pain points, feature requests, and more, and generates 9-section specs your team or coding agent can build from.

The code writes itself. Now figure out what to build.

From customer evidence to a shipping spec your team or coding agent can act on. Start with a free trial.

Start free · macOS