Justin Bisacky
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Package funnel

Product analytics layer

Typed events, naming discipline, and dashboards your team can trust—without analytics becoming noise.

Web appMobile appMarketing site + product3 weeks post-handoff

Visual preview

From UI → schema → dashboard.

Event boundary

ui.onboarding.submit
schema.validate()
dash.activation

Type safety

No “mystery props” later.

Staging QA

Debug toggles built in.

Events that stay consistent over time

Typed events prevent analytics from degrading into one-off logs. The preview visualizes an event flowing through a named boundary into a stable schema.

  • Naming discipline
  • Typed helpers
  • QA/debug toggles

Fit

Ideal for

  • Teams who need consistent product analytics across web and app
  • Founders preparing for growth experiments without breaking historical data
  • Engineering orgs that want a maintainable event schema, not one-off logs

Not the right fit

  • Full data warehouse / BI platform implementation
  • Compliance programs that require legal sign-off outside engineering scope

What you get

Outlined so you can map this to your website, app, or internal tool—before we lock milestones.

Event model

  • Typed event helpers + naming conventions (product, surface, action)
  • Example events for onboarding, conversion, and retention funnels

Privacy & trust

  • Defaults for consent-aware tracking patterns on web
  • Guidance for minimizing identifiers in mobile analytics payloads

QA & validation

  • Debug toggles and staging verification hooks
  • Lightweight dashboard templates: what to watch weekly vs monthly

Roadmap

How you go from 0 → MVP, with artifacts you can hold me to.

Growth curve

We ramp capability, not chaos—each step ends with shippable artifacts and a clearer “next.”

  1. Step 1 · Event schema · Days 1–2

    From guessing → a typed, stable event model your team won’t regret in 3 months.

    • Typed event helpers + naming conventions
    • “Must-track” event list tied to your business questions
    • Privacy defaults + PII boundaries documented

  2. Step 2 · MVP funnel slice · Days 3–5

    From 0 → one end-to-end funnel you can actually trust (and iterate on).

    • Instrumented onboarding/conversion slice (PR)
    • QA/debug toggles in staging
    • Dashboards template + “what to watch weekly” doc

  3. Step 3 · Rollout + guardrails · End of Week 2

    From one slice → a repeatable pattern across surfaces without breaking historical data.

    • Guidelines for adding/modifying events safely
    • Example pull requests across surfaces (web/mobile)
    • Support window for naming tweaks

Example scenarios

Illustrative—not a fixed menu. Your product gets the same structure, scoped to your stack and release target.

  • Marketing site → app install funnel

    Track UTM continuity, landing interactions, and first-open events so you can see where drop-off actually happens.

  • SaaS activation dashboard

    Instrument key setup steps (invite teammate, connect integration, first success event) with stable names across releases.

  • Mobile subscription flows

    Event boundaries around paywalls, restore purchases, and cancellation paths—without leaking sensitive payment details into analytics payloads.

How we'll run it

  1. 1Align on tools (e.g. Segment, PostHog, GA4, Amplitude) and the questions you need answered.
  2. 2Implement the kit in one vertical slice end-to-end, then roll pattern across surfaces.
  3. 3Document schema + dashboards; post-handoff window for naming tweaks.

Scoped milestones, async-friendly reviews, and a written handoff so ownership is obvious on day one.

Next steps

Continue to the site funnel to confirm this package, request a variant, or switch to a fully custom scope with the intake form.

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