
Skill · AI & Development
Analytics Tracking Planner
Build implementation-ready analytics tracking plans and event taxonomies for GA4, Mixpanel, and PostHog. Design for data governance. Install in 30 seconds.
- Category
- AI & Development
- Deliverable
- 1 .skill bundle
- Outputs
- —
- Last updated
- 13 Jun 2026
- Works in Claude Pro, Team, and Enterprise
- Lifetime access to updates
- Refundable for 30 days via the marketplace
StrategistKit Affiliate. Purchase happens on the marketplace, which handles payment, delivery and refunds.
Overview
What Analytics Tracking Planner does.
This skill starts from the questions your team needs data to answer, then derives the events and properties required to answer them — not the other way around. You specify your product, the three to five decisions that depend on analytics data, and your stack (GA4, Mixpanel, Amplitude, or PostHog). The skill builds a complete tracking plan: a naming convention locked in before the first event ships, a property table with types and allowed values, anonymous-to-known identity stitching rules, funnel definitions, EU consent constraints, and governance rules that keep the schema clean past the first quarter of growth.
A realistic input looks like: a B2B SaaS checkout flow, questions about where trials drop off and which features correlate with conversion to paid, running on PostHog, team of four with one developer. The skill asks four scoping questions — context, goal, constraints, audience — then produces an implementation-ready plan your developer can build from directly, without a follow-up meeting to interpret it.
Sample output excerpt — Event table (partial): Event: checkout_step_completed | Trigger: user advances past a checkout stage | Properties: step_name (string, enum: plan_select | payment | confirm), plan_id (string), user_id (string), anonymous_id (string) | Owner: backend-eng | Question answered: Where do trials stall before activating a paid plan? | Consent tier: functional (required for product operation, GDPR-exempt with legitimate interest basis)
Who it's for
Product and growth teams who have analytics installed but cannot trust the data because events were added reactively, and developers or analytics engineers who need a spec they can implement without ambiguity rather than a vague list of 'things to track'.
How it works
Three steps. About two minutes.
Install
Add the .skill file to your Claude app. ~10 seconds.
Run it on your work
Invoke the skill and paste in your material.
Apply the output
Review, keep what works, and use it.
In depth
Why a Claude skill beats a prompt template.
A copy-paste prompt runs one static pass and stops. A skill is a bundled program — instructions, examples, and a workflow Claude runs as a unit: it asks for the right input, applies the same pattern every time, and returns the structured outputs above.
FAQ
Common questions.
What does the skill actually output — a spreadsheet, a document, something else?
Output format adapts to what you ask for: a structured document for a full tracking plan, a copy-paste-ready event table for a developer spec, or a checklist with owner fields for a governance audit. You can specify which format you need or let it default to the most practical option for the request.
Do I need to already know which analytics tool I'm using before I run it?
Yes — the skill tailors naming conventions, identity stitching logic, and implementation notes to the specific platform you name. If you are still deciding between tools, describe that constraint and it will flag the relevant differences that should inform your choice.
Will it handle GDPR and consent requirements, or is that out of scope?
Consent constraints are built into the plan, not treated as an afterthought. Each event is assigned a consent tier, and the plan notes which properties may not be collected without explicit opt-in under GDPR, so your legal and engineering teams are working from the same document.
How much detail do I need to provide about my product to get a useful plan?
A brief description of the product, the top three to five questions you need data to answer, your analytics stack, and your team size are enough to produce a concrete first plan. The skill flags any assumptions it makes and invites you to correct them before the output is finalised.
Can it audit an existing tracking setup rather than design a new one?
Yes. Describe your current event schema and the questions you cannot currently answer, and the skill will diagnose the gaps, flag naming inconsistencies, and produce a remediation plan — including which legacy events to deprecate and how to transition without breaking existing charts.
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