Launch with measurement built in from day one.

The date is set. Analytics are still on the list. Nobody has defined what activation looks like. This 4-week sprint builds the measurement foundation before the first real user arrives. $6,500–$9,500.

Book a Call → See what’s included ↓

30 minutes. You’ll leave knowing whether the sprint fits your launch timeline.

DIAGNOSTIC → ACTIVATION → TRACKING → PRICING

Launch Diagnostic Everything that exists audited before week one ends

ICP Sharpener 1–2 segments most likely to activate and stay

Activation Milestone The one behavioural moment the whole team optimises toward

Event Tracking Plan 15–25 events, tiered, developer-ready

Launch Scorecard 30/60/90-day decision trees before the first user arrives

4 weeks · fixed scope · $6,500–$9,500

Four weeks from now

Foundation

The launch has a measurement foundation. You know which 1–2 user segments are most likely to activate. The whole team is optimising toward one specific behavioural milestone — not signups, not page views.

Instrumented

The tracking plan is in your developer’s hands. Every critical event is live before the first real user arrives. No retrofitting at week four when you’re trying to understand why the numbers look wrong.

Measured

At 30 days, you’re reading real data — not estimating from page views. The Launch Scorecard tells you exactly what the numbers mean and what to do if any metric misses the threshold.

THE TRACK SYSTEM

Seven deliverables. A measurement foundation ready for launch day.

Test

Launch Diagnostic — baseline before you build

Research

ICP Sharpener — who's actually converting

Activate

Define the milestone before you instrument it

Calibrate

Event tracking + funnel mapped to activation path

Key metrics

Pricing architecture + launch scorecard

Diagnostic · Week 1

Launch Diagnostic Report

Audit of everything that exists — tracking, onboarding flow, pricing assumptions, early user data, customer conversations.

Tracking gaps found before launch, not after
Onboarding friction points surfaced early
3–5 wrong assumptions identified while cheap to fix
Launch strategy built on real signal, not guesses

ICP · Week 1

ICP Sharpener

A tight, data-informed profile of the 1–2 user segments most likely to activate and stay — built from early user data, conversations, and behavioural patterns.

Onboarding optimised for the right users
Every product decision has a filter for the next 90 days
Marketing stops being generic
Growth hire inherits a clear target

Activation · Week 1

Activation Milestone Definition

The single behavioural moment that predicts long-term retention — the action that separates users who stay from users who don’t.

Whole team has one metric to optimise toward
Not signups or page views — the real retention predictor
Everything in the product funnel judged against it
Retention measurable from day one

Tracking · Week 2

Event Tracking Plan

15–25 production-ready events in three tiers — critical before launch, important in week one, nice-to-have later.

Developer gets a document, not a conversation
Tier 1 events live before launch day
Implementation takes days, not months of back-and-forth
No data gaps at the moment that matters most

Funnel · Week 2

Conversion Funnel Map

Every stage from visitor to paid with benchmarks and a diagnosis of where the funnel is most likely to leak.

Real constraint identified before you start optimising
Benchmarks at each funnel stage
Most leaks are in activation, not acquisition — this shows which
Month of A/B testing the wrong thing prevented

Pricing · Week 3

Pricing Architecture Review

Assessment of value metric alignment, tier logic, and price point calibration — with a clear call on what to keep, change, or test.

Value metric reviewed against how users experience value
Underpricing and mispacking identified
Clear recommendation: keep, change, or test
Fixing this pre-launch is exponentially cheaper than post-launch

Delivery · Week 4

Launch Scorecard

A 30/60/90-day measurement framework with decision trees — if metric X is below threshold Y at day Z, here is the diagnosis and the first thing to test.

Ambiguous data becomes specific next actions
No post-mortem that ends with “we need more marketing”
Team knows what to do instead of arguing about interpretation
30-day check-in already scheduled at handover

THE TIMELINE

Four weeks. Everything handed over before launch day.

WEEK 1

Diagnostic + ICP + Activation Milestone

Launch diagnostic completed. ICP sharpened from existing data and conversations. Activation milestone defined — the single behavioural moment the whole team optimises toward from this point forward.

WEEK 2

Event Tracking Plan + Funnel Map

Event tracking plan produced — tiered, production-ready, developer-ready. Conversion funnel mapped from visitor to paid with benchmarks at each stage and a clear diagnosis of where the constraint is.

WEEK 3

Pricing Review + Launch Scorecard

Pricing architecture reviewed against your value metric and ICP. Launch Scorecard built with 30/60/90-day targets and decision trees — ready for the moment real user data starts coming in.

WEEK 4

Handover + Developer Briefing

Full delivery session. Event tracking plan walked through with your developer. 30-day check-in scheduled. All 7 deliverables owned by you from day one — no ongoing dependency.

The difference between launching blind and launching with a foundation.

	Without the sprint	With the sprint
ICP	“Companies that need X.” Wide enough to mean anyone.	1–2 specific segments. Onboarding optimised for them specifically.
Activation	Not defined. The team watches signups and page views.	One behavioural milestone. Everything in the product funnel optimises toward it.
Analytics	Set up “when there’s time.” Critical events missing for months.	Tracking plan implemented before launch. Tier 1 events live from day one.
Pricing	Set by looking at two competitors.	Reviewed against your value metric and ICP. Clear call on what to keep or test.
At 30 days	Numbers are ambiguous. Team debates what they mean.	Launch Scorecard decision tree. If X is below Y, here’s the diagnosis.
Funnel	Optimise the top because that’s where the work is happening.	Funnel map shows where the real constraint is — often not the top.

IS THIS YOU?

Built for founders at the moment measurement matters most.

Pre-Launch

Launch is 2–6 weeks away

$0–$500K ARR

Why this fits

The product is ready or nearly ready. The measurement plan is thin. Before the first real user arrives, this sprint builds everything you need — so the data you make decisions from is complete from day one, not month three.

What you leave with

ICP defined before the first acquisition dollar is spent
Activation milestone in place before the signup spike
Tracking plan live before launch day

You launch with data that actually tells you what’s working — from the first week.

Just Launched

30–90 days in. Numbers don’t add up.

Post-Launch · $0–$500K ARR

Why this fits

You launched. Users are signing up. The numbers don’t tell you what’s working. The tracking is incomplete. This sprint catches what’s missing and builds the measurement foundation retrospectively — before you spend another quarter optimising the wrong thing.

What you leave with

Gaps diagnosed before they compound further
Activation milestone defined from real user behaviour
Launch Scorecard for the next 90 days built from what you already know

You stop guessing at month three and start building on real signal.

Small Team

No dedicated analyst. No data function.

2–20 people · Any stage

Why this fits

The team is 2–15 people. No dedicated data person. Analytics have been added ad hoc. This sprint is designed for exactly that context — practical, developer-ready, structured around what a small team can maintain and use independently.

What you leave with

All deliverables handed to the developer, not a data team
Everything maintainable with one person
No ongoing dependency on ProductQuant

Analytics that work for a small team — without a data hire.

THE PROCESS

What happens after you click.

30-minute call

We scope your launch timeline, existing tracking, and team size. You leave knowing whether the sprint fits where you are — and what the measurement foundation looks like right now. No pitch. No deck.

2-page proposal

Specific deliverables, timeline, price. Nothing ambiguous. If the sprint doesn’t fit your timeline or situation, we’ll say so before you sign anything.

The 4-week sprint

Three phases: diagnostic + ICP + activation milestone → tracking plan + funnel map → pricing review + Launch Scorecard. Weekly delivery at each phase with a review before moving forward.

Full handover

All 7 deliverables delivered. Tracking plan walked through with your developer. 30-day check-in scheduled. Everything owned by you permanently — no ongoing dependency.

What this costs — and what it would cost to source it separately.

What’s included	Standalone market rate
Launch diagnostic report	~$1,500
ICP sharpener — 1–2 segments	~$2,000
Activation milestone definition	~$1,500
Event tracking plan (tiered, dev-ready)	~$2,500
Conversion funnel map	~$1,500
Pricing architecture review	~$2,000
Launch Scorecard (30/60/90-day)	~$1,500
Sourced separately	~$12,500
This sprint — one-time, 4 weeks	$6,500–$9,500

$6,500–$9,500

One-time · 4 weeks · fixed scope

Launch diagnostic report
ICP sharpener — 1–2 segments defined and prioritised
Activation milestone definition
Event tracking plan — tiered, developer-ready
Conversion funnel map with leak diagnosis
Pricing architecture review
Launch Scorecard — 30/60/90-day decision trees

Add a 30-day post-launch review for $2,500–$3,500. The scorecard is already built — the check-in is the natural next step.

Fixed scope — no surprise invoices Everything yours at handover Dev-ready from week one

Book a Call →

ProductQuant runs 2–3 active engagements at a time. Book a call to check current availability.

The cost of launching without this: Every week you optimise without a defined activation milestone is a week aimed at a proxy metric. Most founders spend 2–3 months improving signup rates before realising the real constraint is in activation, not acquisition. The tracking plan that takes a day to implement now takes weeks to retrofit after launch — with data gaps that can’t be recovered.

Questions.

Or book a call →

We’ve already launched but our analytics aren’t set up. Can the sprint still help?+

Yes — the post-launch version starts with a diagnostic of what’s missing, builds the tracking plan retroactively, and produces the Launch Scorecard for the next 90 days. The ICP sharpening and activation milestone definition are if anything more grounded post-launch, because you have real user behaviour to analyse instead of hypotheses.

What analytics tools does this work with?+

PostHog, Amplitude, Mixpanel, Heap — or any event-based analytics platform. If you’re not set up yet, the tracking plan is implementation-agnostic and includes tool recommendations based on your stack and team size. PostHog’s free tier is sufficient for most early-stage companies.

What access do you need from us?+

Read-only access to your existing analytics (if any), your product, and access to 3–5 early customer conversations (we can join calls or review recordings). No code access. The event tracking plan is handed to your developer — no implementation is included in the sprint itself.

How is this different from the Find PMF + GTM + Launch engagement?+

The PMF + GTM engagement (8 weeks, $12K–$18K) is for companies still figuring out who the product is for and whether PMF exists — it includes full JTBD interview synthesis, a PMF diagnostic, and a GTM channel plan. This sprint assumes you know roughly who you’re building for and need the measurement foundation for launch specifically.

How quickly can we start?+

Kickoff within 2 weeks of signing. The sprint runs 4 weeks from kickoff, with full handover and the 30-day check-in scheduled at week 4.

WHO’S DOING THE WORK

Jake McMahon · Founder, ProductQuant

Jake McMahon

8+ years building growth systems inside B2B SaaS · Bachelor’s in Behavioural Psychology · Master’s in Big Data

Eight years as a product leader inside B2B SaaS companies — product manager, growth lead, head of product, from seed-stage to $80M ARR. He kept watching smart teams make the same mistake: good tools, real talent, no system connecting any of it.

ProductQuant is what he’d hire if he were still an operator — rebuilt as a service. There’s no team of junior analysts. Jake scopes the sprint, builds the deliverables, and walks through the tracking plan with your developer himself.

What he won’t do:

Promise revenue numbers he can’t verify
Hand you a strategy deck and disappear
Recommend work you don’t need
Build something that only works if you keep paying him

“Could our developer just build the tracking plan themselves?”

Possibly — but the value isn’t the event taxonomy. It’s the activation milestone defined before anything is instrumented. Most teams instrument everything and then try to find the signal in the noise. This sprint defines what “activated” means for your specific users first, then instruments exactly that. A developer building blind will instrument clicks. This delivers a measurement foundation built around the moments that predict retention.

Teams Jake has worked with

Launch with measurement built in from day one.

Seven deliverables. A measurement foundation ready for launch day.

Four weeks. Everything handed over before launch day.

The difference between launching blind and launching with a foundation.

Built for founders at the moment measurement matters most.

What happens after you click.

What this costs — and what it would cost to source it separately.

Questions.

The best time to instrument your product is before it launches.