THE DISCOVER FRAMEWORK

DISCOVER: The system that makes growth stop being a guess.

An 8-phase diagnostic system developed across 10 years and 10+ B2B SaaS engagements. Deployed before any execution begins. Most growth teams skip diagnosis entirely — they execute first and diagnose when things don't work. That's why most growth work doesn't compound.

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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 1 Diagnose
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 2 Instrument
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 3 Segment
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 4 Compete
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.
DELIVERABLE
Competitive Intelligence Database (CID) — product matrix, pricing intelligence, messaging map, G2/review analysis, feature gap assessment.
Feeds into → Optimize (Phase 5) — competitive gaps become experiment hypotheses.
O
PHASE 5 Optimize
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 6 Validate
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 7 Expand
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 8 Retain
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.
DELIVERABLE
Trained churn prediction model. Customer risk scorecard. Intervention playbook (4 risk tiers). SQL queries for ongoing scoring.
Feeds into → The Growth OS — DISCOVER complete means all seven frameworks have their inputs. The system is ready to run.

What DISCOVER feeds.

DISCOVER INTEL SIGNAL BUILD IGNITE RETAIN CONVERT

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.

The statistical methods that make it reliable.

Statistically Rigorous Experimentation

Clear winners, not 'inconclusive.' Every test produces a definitive result — decisions made with quantified uncertainty, not gut feel.

Kruskal-Wallis Testing

Non-parametric comparison across user segments. Finds behavioral differences without assuming normal distributions.

Survival Analysis (Kaplan-Meier)

Models churn probability over time. Finds lifecycle moments where intervention changes outcomes.

Effect Size Calculation

Translates statistical significance into business significance. Not just 'did it work' but 'how much did it matter.'

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.

Read the full case study →

Common questions about DISCOVER.

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.

Before you execute — know what to execute on.

DISCOVER gives you the prioritized opportunity map that makes every growth investment more effective.

Start with DISCOVER See Pricing