Evaluate startup revenue models and pricing plans against customer value and delivery costs. Build a per-customer financial picture, compare scenarios, and define pricing experiments that track revenue, margins, retention, and potential side effects.
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Use when choosing or evaluating a startup revenue model, pricing/value metric, packaging/tier design, or calculating unit economics (LTV, CAC, payback, gross margin, NRR), including usage-based/credit/AI pricing and variable compute/COGS constraints.
安装前可以查看交给 AI 代理的指令内容。
Systematic workflow for choosing revenue models, pricing, and unit economics.
Ask for the smallest set of inputs that makes the decision meaningful:
If numbers are missing, proceed with ranges + explicit assumptions and highlight what to measure next.
For idea validation, record the customer problem, evidence of willingness to pay, and the next experiment before committing to a model.
Use this when you are changing pricing, packaging, value metric, limits, discounts, or billing cadence.
| Type | Examples |
|---|---|
| Primary success metric | Net revenue retention (NRR), ARPA/ARPU, gross margin %, payback period, upgrade rate, expansion MRR |
| Guardrails | New logo conversion, activation rate, refund rate, support load, churn (logo + revenue), sales cycle length |
| Design | Best when | How to read results |
|---|---|---|
| A/B (randomized) | Self-serve / PLG flows | Compare conversion, ARPA, refunds, and downstream retention by assignment |
| Holdout/control cohort | Pricing is hard to randomize | Compare treated vs. holdout cohorts matched on segment, channel, and start month |
| Step rollout (time-based) | Enterprise contracts, invoicing cycles | Compare pre/post with a parallel cohort (not exposed yet) to reduce seasonality bias |
| Geo/account rollout | Regions/segments are separable | Compare regions/segments; watch for channel mix shifts |
| Need | Bundled guidance |
|---|---|
| CAC, LTV, payback, and cohort analysis | Unit-economics methodology and worksheet |
| Willingness-to-pay and tier design | Pricing strategy |
| Business model canvas | Product strategist, Business Model Canvas section |
| MRR/ARR, burn, runway, and scenarios | Startup financial modeling |
Create the pricing-tier table described in Workflow step 4 and an assumptions table with input, value/range, source URL, date, and confidence. This skill does not bundle separate canvas/pricing template files or a data-source catalog. Use current, attributable sources for business decisions.
Use only when explicitly requested and policy-compliant.
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Automate website tasks with agent-browser, a command-line browser tool for AI agents. Fill forms, click controls, extract page text, capture screenshots, and test web apps, with support for saving and reusing login state.
中文简介正在准备中。当前显示英语简介。
Review Python, FastAPI, and React code for security weaknesses in access checks, input handling, secrets, and dependencies. Produce a report with severity levels, file locations, explanations, and recommended fixes, supported by scanning patterns.
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Create a series of personalized sales emails for new prospects or older leads. Get message drafts, subject line alternatives to compare, recommended sending intervals, and ways to include customer results and clear meeting requests.
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Plan user communities that support customer acquisition, retention, and expanded use. Develop ambassador programs, user groups, and community content, then assess meaningful participation, customer advocacy, and business impact rather than relying on membership counts alone.
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Research competitors’ features, pricing, messaging, and customer complaints to produce comparison tables and an actionable report. Identify underserved needs, clarify how an offering differs, and plan regular monitoring of competitor changes.
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Plan content using customer questions, keyword data, and competitor coverage. Organize core themes and related articles, match topics to buying stages, and rank ideas by customer impact, product relevance, search potential, and production needs.
中文简介正在准备中。当前显示英语简介。