WORKSHOP — HALF-DAY SESSION · $797

Four hours. Leave with an honest audit of your analytics setup and a fix roadmap your team can start next sprint.

A structured 4-hour session with your product and engineering team via Zoom. We tear through your event taxonomy live, surface gaps and mismatches, agree on the 3–5 metrics that actually matter for your product, and document a prioritised fix list your engineer can execute independently.

Jake McMahon Jake McMahon, ProductQuant
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WORKSHOP DETAILS

Duration 4 hours on Zoom
Participants 2–6 people
Pre-work Read-only access to your analytics tool
Recording Full session recorded

$797 whole team · one session

Delivered by Jake McMahon · Founder, ProductQuant · 8+ years B2B SaaS product analytics · Australian product leader
Duration
4 hours, one session
Format
Live via Zoom, 2–6 people
Deliverable
Audit findings + metric hierarchy + fix roadmap
Price
$797 whole team
The Problem

You have the tools. The dashboards. None of it connects.

PostHog is running. Mixpanel has been set up for eight months. There are twelve dashboards. And when the CEO asks “what’s our activation rate?” the answer changes depending on who’s in the room. Product has one number. Marketing has another. The analyst pulls a third. Nobody’s wrong — they’re using different event definitions that nobody agreed on before they started tracking.

Your events are firing. But you started tracking before you decided what to track. So you have three definitions of “active user,” a funnel that stops halfway through because someone forgot to instrument the final step, and a dashboard that’s technically correct but answers a question nobody’s actually asking. Every time someone builds a new query, they make a decision that should have been made once, documented, and never revisited.

The taxonomy wasn’t designed. It accumulated. Nobody made a mistake — nobody agreed on the event schema before the first engineer started firing events. Every sprint added a few more events without updating the governance. That’s the problem this workshop is built to fix.

The result: dashboards nobody trusts, analysis that takes twice as long as it should, and a growing sense that your analytics investment isn’t helping you make faster decisions. You’re not behind because you chose the wrong tool. You’re behind because clean instrumentation is infrastructure — and infrastructure has to be built deliberately.

Before & After

What changes after the session.

Before the workshop
  • Three different definitions of “active user” depending on who runs the query
  • No agreed metric hierarchy — every team measures what they care about independently
  • Known instrumentation gaps but no prioritised plan to fix them
After the workshop
  • Taxonomy gaps documented and ranked by impact — one agreed list
  • Metric hierarchy defined and aligned — the 3–5 metrics your whole team will use
  • Fix roadmap your engineer can execute next sprint, with governance notes so it stays clean
Outcomes

Four outputs built live with your team. In one session.

✓Full audit of your event taxonomy
Every event naming inconsistency, funnel gap, and missing instrument surfaced live and documented. Not a recommendation — your actual setup, reviewed with your team.
✓Agreed metric hierarchy
The 3–5 metrics that actually matter for your product stage and growth model, defined and agreed in the room by everyone who needs to use them. One source of truth.
✓Prioritised fix roadmap
A ranked list of instrumentation fixes your engineer can start next sprint — ordered by impact on the metrics you just agreed on, not by effort or preference.
✓Governance doc template
A lightweight governance structure that keeps the taxonomy clean as the product changes — naming conventions, review cadence, who approves new events before they ship.
Half-Day Agenda

What happens inside the four hours.

0:00–1:00
Live taxonomy audit
Jake reviews your event schema live with your team. You share your screen — dashboard views, event lists, funnel definitions. Every gap, naming inconsistency, and missing instrument gets documented in real time.
1:00–2:00
Metric hierarchy design
Agree on the 3–5 metrics that actually matter for your product. Not a framework you copy — a hierarchy built for your stage, growth motion, and what the business needs to make decisions. Everyone in the room agrees on definitions before you move on.
2:00–3:00
Dashboard review and gap analysis
Review your existing dashboards against the metric hierarchy you just defined. Which ones are useful? Which are technically correct but answering the wrong question? Which are actively misleading? Document what stays, what changes, and what gets built.
3:00–4:00
Fix roadmap and governance
Prioritise the fix list by impact. Document governance rules for new events going forward. Assign ownership — who reviews new instrumentation before it ships, who owns the metric definitions, what the review cadence looks like. You leave with a specific next sprint plan.
Fit

Who this workshop is built for — and who it isn’t.

Good fit
  • Product teams with PostHog, Amplitude, or Mixpanel running — but dashboards nobody fully trusts
  • Seed–Series B teams where different people pull different numbers to answer the same question
  • Teams who know the instrumentation is messy but haven’t had the bandwidth to sit down and fix it
  • Companies preparing for a fundraise where analytics credibility matters
Not the right fit
  • Pre-launch teams — the audit requires something live to review
  • Teams on a BI tool only, without a product analytics layer — the audit framework is built for event-based tools
  • Solo founders without an engineering resource to implement the fixes after the session
Pricing

One session. Your whole team. One price.

Per Session
$797 per session

Whole team. One-time payment. No seat limit up to 6 people.

  • 4-hour live workshop on Zoom
  • Up to 6 participants — bring product and engineering
  • 15-minute pre-session call to confirm fit and get read-only analytics access
  • Live audit of your event taxonomy and funnel gaps
  • Metric hierarchy defined and documented — agreed by everyone in the room
  • Prioritised fix roadmap for your engineering backlog
  • Governance doc template for keeping the taxonomy clean going forward
  • Full session recording
Book the workshop →
If you don’t leave with a documented audit and an agreed metric hierarchy, you pay nothing.
Common Questions

Questions.

Or book directly →
Which analytics tools does this work with? +
PostHog is the primary tool. The audit framework applies to any event-based analytics tool — Mixpanel, Amplitude, or others. If you’re on a different platform, mention it when you book and Jake will confirm fit before the session is scheduled.
What access do you need before the session? +
Read-only access to your analytics tool is enough. You’ll share your screen during the live audit — dashboard views, event lists, funnel definitions. No raw user data or PII needs to be shared. Jake works from what you can show on screen.
How is this different from the Product Analytics cohort program? +
The Product Analytics cohort is a 3-week program for a product leader who wants to build deep instrumentation skills — with homework between sessions, peer review from other companies, and a full rebuild of their analytics practice. The Analytics Audit Workshop brings your whole team together for one half-day. You audit what you have, agree on what matters, and leave with a fix roadmap — not a skill you’re still developing.
Who should be in the room? +
Product and engineering — ideally both. The audit surfaces gaps that product needs to prioritise and engineering needs to fix. The metric hierarchy you agree on only holds if both sides were in the room when it was built. 2–6 people works best.
What if we need someone to implement the fixes? +
The workshop produces a prioritised fix roadmap your engineer can execute independently. If you want ongoing implementation support — instrumentation work, dashboard builds, or an analytics operating rhythm — that’s available as a separate engagement. Ask on the booking call.

Every sprint you run without clean instrumentation is another sprint of data you can’t fully trust.

Four hours is enough to surface what’s broken, agree on what matters, and give your engineer a fix list to start next week.

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