Everything ProductQuant makes.
Tools, frameworks, and programs to build the analytical foundation your SaaS product needs. Free entry points, self-serve toolkits, and live workshops — pick the format that fits where you are now.
SaaS Product DNA Analyzer
Classify your product across 10 structural dimensions and get a blueprint for which growth strategies will and won't work — before you borrow tactics built for a different type of product.
- Understand why your current GTM, PLG, or pricing playbook might be structurally mismatched.
- Give the team one shared profile to align product, growth, and onboarding decisions.
- Make every downstream toolkit or engagement more targeted — less exploratory.
No-commitment entry points.
Five free tools you can use today. No payment, no sales call. A useful starting point if you want to see how ProductQuant approaches the work before committing to a paid toolkit or program.
Product DNA Analyzer
Classify your product across 10 structural dimensions and understand which growth playbooks actually apply to your architecture — before you borrow strategies built for a different product type.
Get free access →Activation Teardown
Submit your product for a structured activation review. Understand where new users stall and what the highest-leverage fix is — before you build more onboarding.
Get your teardown →PostHog Health Check
A structured diagnostic for teams using PostHog. Find out whether your event coverage, funnel setup, and dashboard structure are giving you signal or noise.
Run the health check →Experiment Scorecard
Score a live or upcoming experiment before you run it. Checks hypothesis quality, metric selection, sample size logic, and decision criteria — so you don't run a test that can't answer the question.
Score your experiment →Pricing Experiment Worksheet
A working document for planning a pricing test properly. Covers hypothesis framing, segment selection, rollout logic, and what a valid result looks like before you change a number.
Get the worksheet →Not sure which free tool fits your situation? Start with the DNA Analyzer — it's the fastest way to understand what applies to your product.
Start with DNA →Self-serve toolkits for one decision.
Each toolkit is a working system for one specific decision. Buy the one that matches the bottleneck in front of you. No call required to decide if the structure fits — preview each product before you commit.
SaaS Product DNA Analyzer
Classify your product across 10 structural dimensions and get a blueprint for which growth strategies will and won't work — before you copy a playbook built for a different product type.
- Identify the structural mismatches in your current GTM, pricing, or PLG motion.
- Give product, growth, and onboarding one shared language for decisions.
- Make every downstream toolkit or engagement more targeted.
PLG Scorecard
Score the product-led motion before the team keeps optimizing a weak system.
- See which PLG pillar is breaking expansion before more traffic hits it.
- Stop treating onboarding, pricing, and self-serve as one blended problem.
- Prioritize the fix that changes the motion, not just the metrics deck.
SaaS Persona Canvas
Replace decorative personas with a behavioral operating profile the team can actually use.
- Turn vague user talk into patterns that change product and GTM decisions.
- Give roadmap, onboarding, and messaging the same customer lens.
- Reduce internal debate about who the product is really for.
Churn Diagnosis Playbook
Classify churn by failure mode and stop guessing why users leave.
- Separate retention problems so every account does not get the same save motion.
- Spot earlier warning signals before cancellation becomes visible in Stripe.
- Focus intervention work on the failure mode that is actually driving loss.
Event Taxonomy Builder
Clean event naming and coverage so every analyst runs against the same system.
- Cut reporting drift caused by teams tracking the same thing in different ways.
- Make dashboards easier to trust because the event layer finally has structure.
- Give product, engineering, and analytics one instrumentation language.
Pricing Strategy Workbook
Turn pricing debates into a system with packaging, willingness-to-pay, and experiment logic.
- Stop defaulting to guesses when the team argues about pricing changes.
- Make packaging clearer so the buyer can see why one tier should exist.
- Run smarter pricing tests instead of one-off changes with no decision logic.
JTBD / Kano Workshop
Use jobs, satisfaction, and feature type to make prioritization stop feeling arbitrary.
- Make feature tradeoffs easier to defend across product, sales, and leadership.
- Reduce roadmap thrash caused by loud requests and weak customer evidence.
- Clarify which work creates baseline trust versus real differentiation.
Onboarding Teardown Kit
Find where new users stall, score the experience, and rebuild the path to value.
- See the exact step where activation turns into drop-off instead of progress.
- Prioritize the friction fix that gets users to first value faster.
- Turn onboarding from a vague UX issue into a measurable growth system.
AI Feature Strategy Framework
Score AI feature ideas before the team burns a quarter building the wrong thing.
- Kill weak AI bets before they absorb engineering time and roadmap attention.
- Force clearer thinking about trust, data readiness, and monetization early.
- Make AI prioritization feel like strategy work, not trend-following.
Products still being packaged.
Growth Execution Toolkit
The operating cadence system for teams that already know what to do and need a weekly rhythm to execute it.
- Keep the most important work visible instead of rediscovering priorities every week.
- Turn planning into a repeatable operating rhythm the team can sustain.
- Reduce execution drag caused by too many parallel initiatives.
SaaS CI Framework
Competitive intelligence monitoring system for teams that want structured market signal, not reactive note-taking.
- Replace ad-hoc competitor notes with one system the whole team can use.
- See market movement earlier instead of reacting after the narrative is set.
- Feed product, GTM, and positioning work with cleaner external signal.
Three clean ways to use the library.
Start with one toolkit
Use a single system to solve one decision properly without jumping into a full engagement.
Stack adjacent toolkits
DNA plus PLG. Pricing plus JTBD. Persona plus onboarding. The value compounds when the tools answer adjacent questions.
Use the library as the low-friction start
If the issue turns out to be broader than a toolkit can handle, move up to a sprint, Foundation, LAB, or OS with more context in hand.
Work through the problem with Jake directly.
Live sessions for teams that want to run a framework with someone who has done this before. Cohort programs for teams that need six to eight weeks of structured, applied work. All five programs are linked and live.
Product DNA Live Session
We classify your product across 10 dimensions together, live on screen. You leave with a completed DNA profile and 3 strategic misalignments to fix.
Book a session →JTBD Half-Day Sprint
Map your customers’ jobs-to-be-done and Kano-classify your backlog in one half-day session. You leave with a clear picture of what to build next and why.
Book the sprint →Analytics Audit Program
Build your full product analytics system from scratch with a small cohort. Leave with clean instrumentation, a metric hierarchy, and 3 running experiments.
Apply for next cohort →Churn Analysis & Prevention
Identify your churn archetype from your own data and build a 90-day intervention plan. Leave with an early-warning signal dashboard and a tested save motion.
Apply for next cohort →PMF Validation Program
We install the full ProductQuant system — DNA classification, JTBD mapping, analytics instrumentation, retention analysis, and an experiment framework — all applied to finding your PMF signal.
Apply for next cohort →Not sure which session or program fits? Book a 30-min call and we’ll tell you.
Book a free call →Move up the ladder when the problem is broader than one system.
The Foundation
Install the analytics, experimentation, churn, and intelligence system properly so your team can stop working from fragmented inputs.
Growth LAB or Growth OS
Use LAB if your team can execute and needs ProductQuant to run the operating layer. Use OS if you need more of the execution burden carried externally.
If you tell us the problem, we will tell you whether to buy a toolkit or not.
Use the library if one system will do the job. Use the broader engagements only when the problem is truly broader. That distinction should stay clear.