APP LAUNCH READINESS SPRINT — 2-WEEK SPRINT

Jake McMahon — ProductQuant

8+ years B2B SaaS · Behavioural Psychology + Big Data (Masters)

Ship on launch day knowing exactly which users are activating — and which ones aren’t.

Measurement built before launch, not retrofitted after. Event tracking, core dashboards, and KPI definitions your whole team can read — live from day one.

Book a Call → See what’s included ↓

Live tracking across your key activation events on launch day — or full refund · 2-week delivery

WHAT YOU HAVE AT THE END

Activation defined A specific behavioural milestone, validated for your product — not a generic login count

Events instrumented Developer-ready spec, tiered by priority — critical events live before launch day

Dashboards live Retention, activation funnel, and key actions visible from the first user

30/60/90-day targets Benchmarks set before launch so the team knows whether the numbers are good

Team reads the data 90-min walkthrough so no one depends on ProductQuant to interpret it

Fixed-price sprint · Live tracking from launch day

We build the dashboards you need for launch day.

Before you go live, we set up simple tracking and reports. Your team sees who's using the app and what's working from day one.

MARKETING TEAM

"Which ad campaign brought our best users?"

You see a dashboard showing which ads led to sign-ups and which led to purchases. This tells you where to spend your budget next week.

PRODUCT MANAGER

"Are people using the new feature we just shipped?"

A chart shows you how many users clicked the new button and completed the key action. You know by lunchtime if it's a success.

CEO UPDATE

"Give me the launch week numbers."

You open one page with daily sign-ups, active users, and revenue. You have the clear answer for your board update in 60 seconds.

ENGINEERING SUPPORT

"A user says the checkout is broken."

You check a report showing error rates and where users are dropping off. You can see if it's one person or a real problem for everyone.

WHAT HAPPENS WHEN MEASUREMENT COMES LAST

Three months in, no reliable activation data

“We launched and watched the signup numbers go up. Two months later someone asked what our activation rate was and nobody could answer. We hadn’t instrumented the step that mattered.”

Founder — B2B SaaS, seed stage

Critical first-user cohort lost to a data gap

“We couldn’t go back. The first 200 users came through during a window when we had no retention tracking. We made every early decision about onboarding without any signal from the data.”

Head of Product — Series A, B2B SaaS

Team disagreed on what “activated” even meant

“We spent the first two planning cycles debating whether a user was ‘activated’ when they signed up or when they took the first action. Nobody could define it. So nobody could optimise it.”

VP Product — B2B SaaS

WHY MEASUREMENT FIRST CHANGES WHAT YOU SHIP

Most teams build the product, then figure out how to measure it. The teams with the cleanest early data build the measurement alongside it.

The problem isn’t that teams don’t care about data. It’s that measurement gets deprioritised until after the product is live, then retrofitted under time pressure. The result: the first 30–90 days of user data — the most important cohort you’ll ever have — is incomplete, inconsistently named, or simply missing the events that tell you whether users are finding value.

This sprint starts from your product’s specific user journey, not a template. What does “activated” mean for your product? What does a user need to do in the first session for the data to predict they’ll still be there at day 30? Those definitions come first. The event taxonomy, dashboards, and 30/60/90-day targets all follow from the answers.

Your first users arrive to a system that can tell you what they’re doing and whether it predicts retention. The team doesn’t wait three months for someone to build the analytics backlog.

TIMELINE

From kickoff to dashboards showing live data — team trained, spec handed over, no gaps.

WEEK 1

Define + Specify

Kickoff call to understand the product, business model, and user journey. Activation milestone defined. KPI framework built: D1/D7/D30 retention, key actions, 30/60/90-day targets. Instrumentation spec handed to your developer by end of week one.

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WEEK 2

Build + Verify

Available to answer developer questions during Tier 1 implementation. Core dashboards built once events are confirmed live — activation funnel, retention cohorts, key actions. Dashboards verified against real event data.

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DAY 14

Train + Hand Over

90-minute session with your team. Every dashboard walked through. KPI definitions explained. The team leaves knowing how to read the data and what to do when a number is off target.

Day 15: your team opens the dashboard. The data is already there.

WHAT YOU GET

17 deliverables so launch data is live, trusted, and actionable from day one.

Week 1 · Foundation

KPI Framework + Activation Definition

Before launch, the team defines the metrics that determine whether the product is working. The activation event is validated against retention logic, so you measure the behaviour that predicts users will stay, not the easiest event to track.

Activation defined as a specific behavioural milestone, not logins
D1/D7/D30 retention targets set before launch day
Every downstream decision anchored to the same definitions
User journey mapped as a measurable sequence from first touch to value

Week 1 · Specification

Tiered Instrumentation Spec for Developers

Every event your app needs to track is documented with priority: what must ship on day one, what can follow in week two, and what can wait. Engineers get event names, properties, expected values, and priority tiers in one implementation document.

Developer gets a complete document, not a conversation to reconstruct
Critical events instrumented before launch day
Naming conventions established once, consistent from the first event
Event taxonomy prevents launch-day tracking debt from accumulating

Week 2 · Dashboards

3 Core Launch Dashboards, Built and Verified

Retention, activation funnel, and key actions dashboards are built in your analytics stack before launch day. On day one, the team opens working dashboards instead of configuring analytics while also managing the launch.

Retention visible from the first cohort
Activation funnel shows where users stall or drop
Key actions dashboard tracks the behaviours that predict value
Dashboard configuration guide included so the system can be extended

Week 2 · Targets

30/60/90-Day Metric Targets

Launch targets are grounded in historical behaviour when you have it, and comparable benchmarks when you do not. Each target includes the methodology, so your team can defend the numbers in a board or investor conversation.

At day 30, the team knows whether the numbers are on track
No ambiguity about whether launch performance is a success
Competitor benchmark research defines what good looks like for your category
Target-setting methodology documented for every metric

Week 2 · Monitoring

First-30-Days Monitoring Guide

A written guide shows what to watch in the first 30 days and which signals require immediate action. Usually 5–8 red flag conditions are defined, each with a recommended response.

Team knows exactly what to look at each day
Red flags identified before they compound into bigger problems
Clear protocol for when a metric misses its target
Launch day checklist covers analytics verification and team responsibilities

Day 14 · Training

90-Minute Walkthrough + Launch Monitoring Support

A recorded team walkthrough covers the full launch framework: KPIs, dashboards, targets, checklist, and monitoring guide. You also get launch day support plus day-7 and day-30 check-in calls to interpret early signals.

Team runs the measurement system independently from launch day
Early anomalies can be interpreted in real time on launch day
Structured first-week and first-month reviews prevent drift
Everything above for $2,997, with no hourly billing or scope creep

What this looks like in practice: a B2B SaaS team launching a project management tool defines “activated” as a user who creates a project and invites at least one collaborator in the first session — not just completing onboarding. That definition gets instrumented as a named event in week one, shows up in the activation dashboard by day two, and becomes the metric the team reviews every Monday. Six months in, they know their activation rate by channel, by plan, and by cohort. Teams that don’t define this before launch spend those six months arguing about what the number should be.

FIT CHECK

Built for B2B SaaS teams within 8 weeks of launch with a developer who can build analytics tracking.

GOOD FIT

Pre-launch or recently launched B2B SaaS with a developer available

Seed to Series A · product shipped or shipping soon

The situation

You have a product that real users will log into, a developer who can implement event tracking, and a launch window coming up. You may have some analytics set up ad hoc — or nothing yet. Either way, the measurement foundation isn’t in place and you know the gap. You want to arrive at launch with dashboards that show you what users are doing from the first session, not three months into a catch-up sprint.

What you leave with

Activation defined and instrumented before your first real users arrive
Dashboards your whole team can open and read without help
Targets that tell you whether your launch numbers are good — before someone asks

The first user cohort is fully tracked. No gaps, no retroactive catch-up work, no data you can never recover.

NOT A FIT

Pre-product, or launched more than 6 months ago without any analytics

Wrong stage or wrong problem

When this sprint doesn’t apply

If you haven’t built the product yet, there’s no user journey to instrument. If you launched more than six months ago and have a meaningful activation gap — users arriving but not getting value from the product quickly — the Activation Deep Dive is the right starting point: it maps what’s breaking now, with the data that already exists. And if you have a full analytics team already building this, you don’t need an external sprint for it.

Better starting points

Activation Deep Dive

For teams that launched without clean measurement and have a live activation gap.

Focused Sprint

Answers a specific product question — where churn concentrates, or what drives expansion.

Not sure?

30-minute call to assess whether a sprint or a different engagement fits better.

What this sprint doesn’t cover

The sprint produces the instrumentation spec and builds the dashboards. Your developer implements the events. If you need the full implementation handled — tracking built, dashboards automated, and a dedicated measurement function set up — that’s a different engagement.

Implementing the event tracking code — your developer does that from the spec
Designing the onboarding UX — the sprint defines what to measure, not how to redesign
Ongoing data analysis post-launch — your team runs the monitoring guide independently

For full implementation → Growth LAB

Jake McMahon — ProductQuant

Jake McMahon

8+ years B2B SaaS · Behavioural Psychology + Big Data (Masters)

I run this sprint myself. The KPI definitions, the instrumentation spec, the dashboard builds, the team walkthrough — all of it. I spent eight years as a product leader inside B2B SaaS companies watching teams launch without a measurement foundation, then spend the first quarter catching up. The critical first-user cohort — the people who tell you whether your product works before you have enough data to be statistically confident about anything — is measured in conditions that will never come back. This sprint closes that gap before it opens.

The deliverables are formatted for the people who use them. The instrumentation spec goes to your developer. The dashboards go to your PM and leadership. The team walkthrough means no one has to call me to understand what a number means six weeks from now.

I won’t do this:

Define activation as “completing onboarding” without checking whether it predicts retention in your product
Build dashboards without verifying they show real event data before handover
Instrument clicks because clicks were easy to add
Leave the team dependent on me to interpret what the dashboards show

Could our developer write the event tracking plan themselves?

Possibly the event list — but the value isn’t the list. It’s the KPI definitions that come before it. What does “activated” mean for your specific product? Which user actions actually predict whether someone is still a customer at day 30? Those questions require understanding your business model, your user journey, and how the analytics platform will structure the data downstream. A developer building without that context will instrument what was easy to track. This sprint starts from the definitions and builds the spec from them.

Teams Jake has worked with

PRICING

One price. Everything your team needs to read the data on launch day.

$2,997

one-time · fixed price

2-week sprint

KPI framework — D1/D7/D30 retention, activation milestone, key actions defined
Instrumentation spec — tiered by priority, developer-ready
Core dashboards — retention cohorts, activation funnel, key actions
30/60/90-day metric targets built from your business model
First-30-days monitoring guide with decision trees
Developer support during Tier 1 event implementation
90-minute team walkthrough (recorded)
Everything stays with your team permanently

Live tracking across your key activation events on launch day — or full refund.

Book a 30-minute call →

You launch with live tracking across your key activation events — or full refund. Specifically: instrumentation spec confirmed implementable by your developer, core dashboards live and showing real event data, KPI framework documented and shared with your team, and 30/60/90-day targets defined.

Questions.

Or book a call →

We haven’t picked an analytics tool yet. Does that affect the sprint? +

No. The sprint starts with KPI definitions and builds the event taxonomy before any tool is chosen. Once the spec is complete, we’ll recommend the right platform for your stack and team size — PostHog’s free tier covers most early-stage teams. The instrumentation spec is implementation-agnostic and readable by any developer on any platform.

We already launched. Can the sprint still help? +

Yes. The post-launch version starts with a diagnostic of what’s missing, builds the tracking plan from your existing data where possible, and produces a 30/60/90-day measurement plan for what’s coming next. If you have real user data, the activation definitions and KPI targets are actually more grounded than pre-launch. If you have a live activation gap — users arriving but not getting value from the product quickly — the Activation Deep Dive may be the better starting point.

What access do you need from us? +

A walkthrough of your product, read-only access to any analytics already in place, and two or three conversations with early users or your product team. No code access is required. The instrumentation spec is handed to your developer — implementation is not included in this sprint.

What if our developer hasn’t started implementing events yet? +

That’s the right time to run this sprint. The instrumentation spec is tiered by priority: critical events for launch day, important events for week one, everything else after. Your developer gets a complete document they can implement directly — not a conversation to reconstruct from notes. If the launch date is tight, the spec can be prioritised and delivered at the end of week one so they start immediately.

How quickly can we start? +

Kickoff within two weeks of signing. The sprint runs two weeks from kickoff, with dashboards live and team walkthrough complete by day 14. If your launch date is tight, say so on the call and we’ll front-load accordingly.

What does the guarantee mean exactly? +

You launch with live tracking across your key activation events — or full refund. Specifically: instrumentation spec confirmed implementable by your developer, core dashboards built and showing live event data, KPI framework documented and shared with your team, and 30/60/90-day targets defined. If any of those aren’t delivered, you pay nothing. All specific, verifiable outcomes — not vague “improvements.”