Prodara - AI Product Intelligence Platform
Prodara is an AI-native product management platform with version control for product decisions.
Interviews, tickets, analytics, and competitive intel become ranked themes. The AI Agent, Prometheus, proposes the next move, and every decision keeps the evidence and the confidence you had when you made it.
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Every signal drops. Five problems settle out.
One upload · 340 tickets · 28 interviews · 5 ranked themesIllustrative
How it works
Prodara is a loop, not a pipeline. What you ship becomes the evidence for what you decide next.
IllustrativeThe five mechanisms are drawn, not recorded. Counts and deltas shown inside them are placeholders, not measured outcomes.
Connect
Interviews, tickets, analytics, CSV. No tagging, no taxonomy— raw text is fine.
Cluster
Every theme carries a mention count and a confidence score, and links back to the quotes underneath it.
Ask
Ask in plain English. You get ranked options, not a summary.
Decide
Prodara stores the decision with the evidence and the confidence you had when you made it. Nothing is overwritten.
Measure
The outcome is written back onto the decision — so the next call starts from what actually happened.
Median setup is one upload. You do not configure a taxonomy, and you do not tag anything.
The platform
Click through. Nothing here needs scrolling to reach.
Every interview and ticket enters one current. Related signals pull together into ranked themes, each carrying the records that formed it, and Prometheus proposes the next move.
Tickets and interviews drift in, AI gravity wells cluster them into themes, and recommendations streak out as comets.
Accounts that stall do it in the same place: configuration runs past the point where the team expected to see output. Eleven of the 47 tickets name the two-week mark directly, and both churn-diagnostic interviews describe giving up before first analysis rather than after a bad one.
Interviews and tickets share one warehouse: the same grid, the same saved views, the same search. Sort, filter and tag, then compare any two segments side by side.
One brief in seven sections, positioning through the PRD. A Copilot writes alongside you, grounded in the signals already in your workspace rather than in generic advice.
This section is grounded in real signal from the Observe stage of your Intelligence Loop — what your customers actually told you.
Configuration, not comprehension, is where accounts stall. Eleven of the 47 onboarding tickets name the two-week mark directly ★ #4821, and both churn-diagnostic interviews describe giving up before a first analysis rather than after a bad one ✦ INT-204. The pattern holds across ● Onboarding friction · 91%.
That distinction changes what we build. A shorter setup path beats a better first-run report, because the accounts we lose never reach the report. Seeding every workspace with sample data on day one addresses the failure the evidence actually describes, not the one we assumed.
I drafted this section from the two sources above. Your loop weights Onboarding to $84k at-risk ARR— want me to carry that figure into §04 pricing?
Point Claude, Cursor or any MCP client at your workspace. One tool call returns ranked themes with severity and a deep link back to the source record.
Prometheus
An illustrative walkthrough of how Prometheus works a question: tool calls, then ranked insights.
IllustrativeA scripted walkthrough of the agent flow, not live output. A recorded capture from the product will replace it.
What you get
Start with 4 on the free plan. The rest unlock as you grow.
Where evidence lands and gets clustered. Everything downstream reads from here.
Turns a ranked theme into positioning, a PRD, and a roadmap that cite it.
Beliefs get scores, decisions get versions, forecasts get checked against what happened.
How data gets in and out. CSV, feedback portal, developer API, MCP.
The difference
IllustrativeSample tickets and interviews, not real customer records. Account names are fictional.
Most tools hand you a chart and ask you to trust it. Prodara shows the receipts. Click any theme and you get the messages that produced it, quoted in full.
Version control
Every other tool keeps the latest number. Prodara commits a version: the call, the evidence behind it, and each belief’s confidence at that exact moment. When the score moves later, the record does not move with it - which is how you tell a good decision from a lucky one.
Committed 12 Mar · 4 sources · 3 versions
What you believed then
Frozen at the moment the decision was committed. Nothing rewrites it.
What you know now
The same three beliefs, re-scored as new evidence arrived.
Four sources, one tangle. One brief you can hand to engineering.
4 sources · 8 sections · 1 brief · PRD §06Illustrative
Three numbers, three sources. Every one of them links out so you can check it.
Pricing
Start free forever. Annual billing saves 20%.
Questions
Upload a CSV, watch it group itself, and click straight into the evidence.
Start for freeTheme figures on this page are illustrative fixtures, not customer data. Feature adoption statistic: Pendo, 2019 Feature Adoption Report.
The product intelligence platform that turns interviews, tickets, and analytics into ranked themes, grounded strategy, and a loop that learns from every decision you ship.