Free SEO tool for SaaS founders
Generate a lean checklist for your product analytics setup. Know what to implement first before tracking work expands everywhere.
No account required. Built for indie makers and product builders.
Why this tool exists
Founders often know they need analytics but not where to start. This generator turns that vague need into a small, practical implementation checklist tied to activation and conversion.
You can also browse more free tools, use the tracking plan generator, or explore BSData.
Build a lean product analytics setup with the few things you should actually implement first.
A practical analytics checklist with priorities, must-track events, first dashboard guidance, and things to avoid early.
This generator helps founders and small teams focus on the analytics work that actually matters, instead of creating a large tracking backlog too early.
Example Markdown preview
# Bonson Product Analytics Checklist ## Summary - Bonson should keep analytics lean at the just launched stage and focus first on activation outcomes that guide product decisions. ## Checklist | Section | Item | Priority | Why it matters | | --- | --- | --- | --- | | Tracking foundation | Install one analytics script and confirm page_view is arriving. | High | If the base install is unreliable, every later dashboard becomes harder to trust. | | Tracking foundation | Write down one canonical naming convention for events and properties. | High | Consistent naming prevents analytics debt before the event list grows. | | Core events | Track first_project_created as the activation milestone. | High | Activation is usually the best early signal that onboarding is working. | | Core events | Track checkout_completed as the main conversion milestone. | High | Conversion events keep the analytics setup tied to business outcomes instead of vanity metrics. | | Context properties | Capture source, campaign, signup_method, and plan on the events that matter. | High | Properties let you compare channels and segments without multiplying event names. | | Dashboards | Build one dashboard for funnel, source breakdown, and weekly trend. | High | A single useful dashboard beats several noisy ones in the early stage. | | Quality checks | Review live events weekly and remove duplicates or confusing names. | Medium | Analytics quality drifts quickly after launch if nobody checks the raw event stream. | ## First Dashboard - A funnel from signup or first product session to first_project_created to checkout_completed. - A source and campaign table showing where activated users come from. - A weekly trend for first_project_created and checkout_completed. ## Must-Track Events - page_view - user_signed_up - onboarding_completed - first_project_created - checkout_completed ## Avoid For Now - Every button click and modal open. - Large taxonomies of micro-events nobody reviews weekly. - Complex cohort dashboards before the core funnel is reliable. - Segmenting every report before the base event naming is stable. ## Implementation Notes - Keep one owner for analytics quality, even if the team is small. - Review raw event payloads after every instrumentation change. - Prefer one canonical milestone per step and use properties for context.
A product analytics checklist is a short implementation guide that helps you decide which events, properties, dashboards, and quality checks to set up first.
For early-stage products, the best checklist is small enough to use. It should reduce ambiguity, not create a big process burden.
Start with page_view, signup, onboarding completion, one activation event, one conversion event, and the properties needed to compare source, campaign, plan, and signup method.
Common mistakes include tracking too many UI details, skipping a naming convention, building too many dashboards at once, and never reviewing the raw events after implementation.
Lean analytics helps small teams focus on the few milestones that drive product learning. It is easier to maintain, easier to explain, and easier to improve.
This example shows a lean checklist for a just-launched micro SaaS focused on activation.
Bonson should keep analytics lean at the just launched stage and focus first on activation outcomes that guide product decisions.
A product analytics checklist is a short list of the key tracking, naming, and dashboard tasks a team should complete to build a reliable analytics setup without overcomplicating it.
Most early teams should track page_view, signup, onboarding completion, one activation event, one conversion event, and a small set of properties like source and plan.
No. Early-stage products usually learn more from a lean checklist and a few well-defined milestones than from a large tracking taxonomy.
Start with one dashboard that covers the funnel, source breakdown, and weekly trend for activation and conversion.
Avoid every minor click, modal state, and large sets of micro-events that nobody reviews. Those add noise without helping product decisions.
Even small teams benefit from one clear owner who reviews event quality, naming consistency, and dashboard usefulness on a regular basis.