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Documentation Index

Fetch the complete documentation index at: https://docs.founder-sherpa.com/llms.txt

Use this file to discover all available pages before exploring further.

Hypotheses are testable assumptions about your customer personas. They’re the bridge between “who we think our customers are” and “what we learn from talking to them.”

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Creating a hypothesis

  1. Open a project and go to the Hypotheses tab
  2. Click Add Hypothesis
  3. Select the persona this hypothesis is about
  4. Write your hypothesis statement
  5. Choose a type (e.g., pain point, behavior, willingness to pay)
You can also add hypotheses from the persona tearsheet or via the Discovery Journey diagram (Step 2).

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Writing strong hypotheses

A good hypothesis is specific, testable, and falsifiable. Founder Sherpa includes an AI quality checker to help you refine your statements.
“Customers don’t like the current process.”Too vague — which customers? Which process? What does “don’t like” mean?

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AI hypothesis quality check

Click Check with AI on any hypothesis to get:
  • A quality rating
  • Specific improvement suggestions
  • An optional rewrite you can accept with one click
  • Context-aware feedback grounded in your project name and persona

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Hypothesis types

Hypotheses are categorized by type to help you organize your research:
  • Pain point — The customer experiences a specific problem
  • Behavior — The customer behaves in a certain way
  • Willingness to pay — The customer would pay for a solution
  • Workflow — The customer follows a specific process

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Validating hypotheses

As you collect interview evidence, each piece of evidence links back to one or more hypotheses. Over time, you build a body of evidence that either supports or contradicts each hypothesis.

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AI validation on the Hypotheses tab

The Hypotheses tab includes inline checkboxes for selecting hypotheses to validate with AI:
  1. Check one or more hypotheses you want to validate
  2. Click ✦ Validate with AI
  3. Results appear inline below each hypothesis with a verdict, evidence summary, and research gaps
Hypotheses need a minimum amount of linked evidence before validation is enabled — the checkbox is disabled until you have enough.
Your selection persists across filter changes. A pill indicator shows when you have selected hypotheses outside the current filter view.

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Batch analysis on the Insights tab

Use the Insights tab to run AI-powered batch analysis across all evidence, which summarizes the validation status of your hypotheses and generates an audit report.

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Managing hypotheses

  • Edit — Update the hypothesis statement or type at any time
  • Filter — Use the hypothesis filter on the Hypotheses tab to narrow by type or persona
  • Link to evidence — When recording interview evidence, select which hypotheses the evidence relates to