What does this skill do?

The Product Analyst skill gives an agent product-analytics expertise for SaaS and digital products — from choosing a metrics framework through experimentation and impact measurement.

Its philosophy is measuring what matters, not tracking everything: start decisions before collecting data, instrument events well, combine predictive and retrospective metrics, and validate through experimentation.

It applies frameworks like AARRR and HEART and a metrics hierarchy, and covers retention, funnel diagnostics, cohort segmentation, feature adoption, and A/B testing with statistical rigor.

  • Selects metrics frameworks (AARRR, HEART, north star)

  • Runs retention, funnel, and cohort analysis

  • Tracks feature adoption and instruments events

  • Designs A/B tests and experiments with rigor

How it works

1

Define what matters

The agent starts from the decision and selects a metrics framework and north star before collecting data.

2

Instrument and measure

It establishes event tracking and combines predictive and retrospective metrics into a hierarchy.

3

Analyze behavior

It runs retention, funnel, and cohort analysis and tracks feature adoption to diagnose product performance.

4

Experiment and validate

It designs A/B tests with statistical rigor and validates changes before launch, building self-serve dashboards.

Best use cases for this skill

  • Metrics frameworks: Choose AARRR or HEART and a north star metric.

  • Funnel analysis: Diagnose and optimize conversion funnels.

  • Retention & cohorts: Analyze retention and segment cohorts.

  • Experimentation: Design A/B tests and measure feature impact.

Frequently asked questions

What does the Product Analyst skill do?

It provides product-analytics expertise — metrics frameworks, funnel and cohort analysis, feature adoption tracking, experimentation design, and impact measurement.

When should an agent use it?

Use it when designing product metrics frameworks, running funnel or cohort analysis, tracking feature adoption, or designing A/B tests and experiments.

What is its core philosophy?

Measuring what matters rather than tracking everything — starting from the decision, instrumenting events well, and validating through experimentation.

What anti-patterns does it avoid?

Vanity metrics, metric proliferation, lagging-only analysis, unmeasured data quality, p-hacking, and launching features without success criteria.

Use from source

Ask your Buda agent to install this community skill.

Copy this prompt into your own Buda agent. It includes the source repository and install command so the agent can complete the setup in natural language.

Prompt to send to your Buda agent
Please install the "Product Analyst Skill" skill into this Buda agent.

Source repository: https://github.com/ncklrs/startup-os-skills
Install command: npx skills add ncklrs/startup-os-skills --skill product-analyst -y -a universal

Please run the install command, verify the skill is available, and tell me any setup notes or follow-up steps from the source repository.
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Install workflow

  1. 1Copy the prompt
  2. 2Send it to your Buda agent
  3. 3Done