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Intermediate
Data Analysis
Finance
Strategy

Run Pricing and Revenue Analysis Like an Enterprise FP&A Team

Model and document a pricing decision with real trade-off analysis in about two hours a quarter.

Download workflow config (JSON)

How the data moves

This is a handoff plan, not an automatic integration. Review outputs before the next step. Unlabeled arrows show order, not a verified data format. Use the capability links to explore tool substitutions.

  1. Step 1

    Compile Pricing and Revenue Data

    Gather your current pricing tiers, revenue by tier, and churn data into one dataset before modeling anything.

    Tools

    No catalog tool specified

  2. Step 2

    Model Scenarios With AI

    Ask Claude to model the revenue impact of several pricing scenarios, including price increases, new tiers, or bundling changes.

    Tools

    • Claude logo
      Claude
      • Long form writing
      • Code generation
      • Web research
  3. Step 3

    Visualize Trade-Offs

    Turn the modeled scenarios into simple visuals with Napkin AI so the trade-offs are easy to compare at a glance.

    Tools

    • Napkin AI logo
      Napkin AI
      • Document processing
  4. Step 4

    Document Assumptions and Recommendations

    Write up the underlying assumptions and your final recommendation in Notion AI so the decision is traceable later.

    Tools

    • Notion AI logo
      Notion AI
      • Note taking & knowledge management
      • Document processing
      • Long form writing

Time Required

2 hours per quarter

Expected Result

A documented pricing recommendation with modeled scenarios and visualized trade-offs you can defend to a partner or investor.

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