You leave DISCOVER with a prioritized map of every revenue lever in your business.
A risk-ranked growth backlog. Behavioral segments your team can act on. Churn signals identified before they become churn events. A validated experiment backlog ordered by revenue impact. Most growth teams skip this entirely and spend 18 months executing without knowing which lever to pull first.
Every ProductQuant engagement starts with DISCOVER. It is the foundation — not the deliverable.
The pattern that kills growth: execution before diagnosis.
What most companies do
Run experiments before knowing which lever to pull. Build dashboards before knowing which questions to answer. Hire growth talent before building the infrastructure they need.
The result
18 months of activity with no compounding. Good people, no system. A growth team that delivers reports, not results.
What DISCOVER does
Maps every growth lever across all 6 dimensions. Quantifies the revenue impact of each gap. Produces a prioritized opportunity map.
The 8 phases of DISCOVER.
D
PHASE 1Diagnose
WHAT IT IS
A full-funnel behavioral audit. We map the complete customer journey from first touch to retention — acquisition channels, onboarding flow, activation milestones, engagement patterns, expansion triggers, and churn signals. We identify where volume is lost and where revenue is left behind.
DELIVERABLE
Behavioral flow map — every stage of the funnel with conversion rates, volume, and identified anomalies.
Feeds into → Instrument (Phase 2) — knowing what to measure requires knowing what the funnel looks like.
I
PHASE 2Instrument
WHAT IT IS
Analytics re-instrumentation from scratch. We redesign your event taxonomy around the questions that matter — not around what was convenient to track. Every event maps to a business decision. Every dashboard answers a specific question.
DELIVERABLE
New event taxonomy (event names, properties, success criteria). Implementation specs your dev team can ship in a single sprint.
Feeds into → Segment (Phase 3) — clean instrumentation makes segmentation reliable.
S
PHASE 3Segment
WHAT IT IS
Customer segmentation by behavior, not by firmographics. We find the behavioral patterns that predict long-term retention, high LTV, and natural expansion — then define the segments your growth system should optimize for.
DELIVERABLE
Behavioral segments (3–7 high-signal clusters). Segment-level funnels showing how different customer types progress and where they diverge.
Feeds into → Compete (Phase 4) — segmentation tells you which customers matter most; competitive analysis tells you how to get more of them.
C
PHASE 4Compete
WHAT IT IS
Competitive intelligence: what your top 5–10 competitors are doing across product, pricing, positioning, and GTM. Not a one-time report — the foundation of your ongoing competitive monitoring system.
Feeds into → Optimize (Phase 5) — competitive gaps become experiment hypotheses.
O
PHASE 5Optimize
WHAT IT IS
Opportunity prioritization. Using the Diagnose, Segment, and Compete outputs, we build an experiment backlog ranked by revenue impact x confidence x effort. Every hypothesis is grounded in data — not intuition.
DELIVERABLE
Ranked experiment backlog — 20–40 hypotheses with expected impact, recommended test design, and required instrumentation. The first 90-day sprint plan.
Feeds into → Validate (Phase 6) — the backlog feeds directly into the experiment engine.
V
PHASE 6Validate
WHAT IT IS
The experiment engine. Statistical rigor applied to every test: success criteria locked before launch, statistically rigorous analysis, sample size calculations before launch. We don't run experiments that can't produce reliable results.
DELIVERABLE
First experiment results (2–3 completed tests during DISCOVER). Statistical analysis. Board-ready result cards.
Feeds into → Expand (Phase 7) — validated wins inform what to scale.
E
PHASE 7Expand
WHAT IT IS
Revenue expansion design. We build the expansion model: which customers are most likely to expand, what triggers expansion, and how to design the product and CS motion to capture more of it.
DELIVERABLE
Expansion trigger map. Upsell and cross-sell opportunity analysis. Revenue per customer trajectory model.
Feeds into → Retain (Phase 8) — expansion and retention are two sides of the same revenue motion.
R
PHASE 8Retain
WHAT IT IS
Churn prediction infrastructure. We train the churn prediction ML model using 50–85 behavioral features from your historical data. Every customer gets a risk score. Your CS team gets a weekly at-risk list.
Feeds into → The Growth OS — DISCOVER complete means all seven frameworks have their inputs. The system is ready to run.
What DISCOVER feeds.
DISCOVERINTELSIGNALBUILDIGNITERETAINCONVERT
Take the findings and execute internally
You own everything DISCOVER produces. No ongoing engagement required.
Use the findings to run the experiment engine (Growth LAB)
We run analysis and strategy; your team handles execution.
Activate all 7 frameworks (Growth OS)
We run the complete system using DISCOVER as the foundation.
FROM REAL ENGAGEMENTS
The DISCOVER audit has identified growth opportunities in every engagement.
In our most recent healthcare SaaS engagement, DISCOVER mapped activation, churn, and analytics gaps across all six layers — identifying 20%→35% activation improvement and churn prediction 30-60 days before cancellation.
Yes. We don't execute before we diagnose. This prevents us from building the wrong thing with statistical rigor.
6 weeks is typical. For companies with mature analytics infrastructure, we can compress to 4 weeks. For companies starting from scratch, 8 weeks.
We incorporate existing work. DISCOVER doesn't ignore prior analysis — it builds on it, validates it, and fills the gaps.
Yes. DISCOVER is available as a standalone engagement (The Foundation, $15K–$25K). No commitment to ongoing work required.
Any analytics stack. We've run DISCOVER against PostHog, Amplitude, Mixpanel, Segment, Heap, Pendo, and custom data warehouses. We don't require a tool switch — we work with what you have and recommend changes only where the gap materially affects the output.
A structured opportunity map: every growth lever ranked by revenue impact, each assumption sourced, each recommendation with a defined measurement plan. Not a slide deck with observations. A working document the team can execute from — with dashboards already built, not just designed.
An analytics audit tells you what's broken. DISCOVER tells you what's broken, what it's costing you, and in what order to fix it. The 8 phases connect instrumentation quality directly to revenue impact — so the output is a ranked opportunity map, not a bug list.
No. DISCOVER is designed for teams with no dedicated data function. We build the infrastructure, run the analysis, and hand over documentation a non-technical founder can use. If you do have a data team, they'll have a clear backlog to work from the moment the engagement ends.
Most clients move to Growth LAB — ongoing execution against the opportunity map we produced. Others take the deliverables in-house. Either path works. DISCOVER is designed to be a useful output regardless of what comes next, not a hook for lock-in.
It depends on data volume. DISCOVER requires enough user behavior to run statistical analysis — typically 200+ active users. Pre-revenue companies are better served by a product DNA audit and JTBD research first. We'll tell you this before any engagement starts.
Two criteria: the opportunity map is ranked by quantified revenue impact (not opinion), and every top-priority lever has a defined experiment or implementation plan ready to run. If the engagement ends and the team doesn't know what to build next, it hasn't met the standard.
The Foundation (standalone DISCOVER) starts at $15K. For teams that need focused output on a single growth problem — activation, churn, or pricing — we offer scoped half-day sprints from $4,500. Both are fixed-price with defined deliverables.
Yes — and that's often the most valuable outcome. Teams frequently know roughly where the problem is but can't quantify the impact or get internal alignment to prioritize it. DISCOVER produces the number. 'We think activation is an issue' becomes '$340K in annually recoverable revenue is being lost between signup and first value.' That changes the conversation.
Typically 2–4 hours per week from your side. We need access to your analytics platform, a kick-off call, two or three working sessions for validation, and a final readout. We don't require embedded time or daily standups. The engagement is structured to minimize interruption to your team.
Yes. A mutual NDA is standard before access to any system or data. All analytics access is read-only. We don't retain client data after the engagement, and case studies are published only with explicit written approval — typically anonymised unless the client prefers attribution.
Before you execute — know what to execute on.
DISCOVER gives you the prioritized opportunity map that makes every growth investment more effective.
