> ## Documentation Index
> Fetch the complete documentation index at: https://docs.rippit.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Product-Market Fit Score

> Know if your product-market fit is real, and if it will last.

**B2B** · Founders and executives · For Founders and leadership · Also for [B2C companies](https://docs.rippit.com/use-cases/product-market-fit-score-b2c.md)

This agent grades your fit against a scorecard you choose, whether that's an AI-era stress test built on what founders and investors look for or Sean Ellis' “how disappointed would your customer be without you” survey. It reads your customer conversations and product usage data, then backs each criterion with hard numbers.

## What it reads

Customer conversations, from support chats to sales and CS calls, and product usage data from the tools you already use, plus any other source you integrate. If you already rate conversations for churn risk or product feedback in Rippit, it reuses those ratings instead of reading everything again.

## How it works

1. **Your scorecard, plus the data to grade it.** Pick a ready-made scorecard or upload your own, with the criteria you want to be graded on. Then connect customer conversations, from support chats to sales and CS calls, and product usage data from whatever tools you use. Where you already rate conversations for churn risk or product feedback, it reuses those ratings instead of starting over.
2. **One row per criterion, with the grade and the proof.** Each criterion gets a 0, 1 or 2 with a confidence level, the numbers behind it and how it moved against the previous 90 days. Criteria without data, like margins, are marked as gaps instead of guessed.
3. **A read on fit every morning, with the details one click away.** You get an email with the headline score and the biggest changes, linked to a full scorecard page: color-coded criteria, charts, strengths, risks and the data gaps still to fill.

## What you get

A graded PMF scorecard with numbers behind each criterion.

## Build it

Tell Rippit chat to "set up a daily product market fit scorecard graded against the criteria we choose," or ask your own AI assistant with Rippit connected. Rippit drafts it as a [pipeline](https://docs.rippit.com/pipelines/overview.md), tests it on a sample, and puts it live when you confirm. You can change what it reads, how it scores, who it notifies, and how often it runs at any time.

## Questions

> [accordion] Which scorecard does it use?
>
> Yours. Upload the criteria you trust, or start from one built on what top founders and investors look for.

> [accordion] What if we don't have data for a criterion?
>
> It marks it as a gap instead of guessing, leaves it out of the headline score and tells you what to connect, like billing data for margins.

> [accordion] Can we change the criteria?
>
> Yes. Add, drop or reword criteria any time, and the next run grades against the new version. Retention checks use all the history you have, down to month-12 cohorts.

> [accordion] Where do the results go?
>
> A summary email with a link to the full scorecard page. It can run daily or as often as you'd like.


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