GROWTH OPERATING SYSTEM · SERIES A–C B2B SAAS
Not consulting. Not an agency. Not strategy slides. A complete growth operating system — installed in your company, running continuously, building on itself every month.
Built for B2B SaaS companies from $10M to $80M ARR
DISCOVER → INTEL → SIGNAL → BUILD → IGNITE → RETAIN → CONVERT
THE PATTERN
The result: effort that never builds on itself.
Not because anyone's doing it wrong. Because the industry answer to 'how do we grow faster' has always been 'hire more people.' Nobody sells the system. So nobody has one.
| Without ProductQuant | With the Growth OS | |
|---|---|---|
| Churn prediction | Reactive — you find out when they cancel. | ✓ Weekly at-risk list, 30–60 days before cancellation. |
| Experiment velocity | 0–2 tests/quarter. Mostly inconclusive. | ✓ 3–6 tests always running. Every result feeds the next. |
| Competitive intelligence | A spreadsheet updated quarterly, maybe. | ✓ 15+ competitors. Weekly Slack alerts. Monthly competitive report. |
| Analytics | Dashboards nobody opens. | ✓ Every metric tied to a decision your team actually makes. |
| Time to full capacity | 18–24 months with internal team | ✓ 6 weeks from kickoff |
| Investment | $1.0M–$1.5M/yr (VP Growth + team, total comp) | ✓ $180K–$300K (Growth OS, 6-month engagement) |
WHAT'S RUNNING
DISCOVER maps the full opportunity in weeks 1–6. The other six run continuously — each generating intelligence that makes the others sharper.
Each framework feeds the next. Research informs what you measure. Measurement reveals what to design. Design creates experiments. Experiments validate the research. It's a closed loop. That's what makes it compound.
Here's what that looks like: Month 1, INTEL finds a competitor dropped their setup fee. SIGNAL shows support tickets spiking about your pricing. IGNITE runs a packaging test. CONVERT updates the sales talk track. By month 3, your win rate against that competitor is up 12%. Each layer made the others faster.
WHO THIS IS FOR
Board mandated 3× growth. No growth team exists. The alternative: 18 months hiring, $1M+/yr, massive execution risk. You're buying momentum — a growth function that starts in 2 weeks.
Best fit: Growth OS · $180,000–$300,000 · 6-month engagement
You have a growth PM and analyst. Running 0–2 experiments per quarter vs. 10–20 benchmark. You're buying the missing system — structured experiments that build on each other, churn prediction that gives CS a 30-day head start, and competitive intelligence that's current, not six months old.
Best fit: Growth LAB · $21,000–$42,000 · 3-month engagement
Full growth team but flying blind. Churning customers you should be saving. Losing deals to competitors you don't understand. You're buying what your team can't see — which customers will leave and why, what competitors shipped this week, and which sales conversations are actually winning deals.
Best fit: The Foundation · $15,000–$25,000 one-time
WHAT THE WORK LOOKS LIKE
Events firing with 0% of data actually usable. 90% reduction in analytics costs. Churn prediction model giving CS a weekly at-risk list every Monday — 30–60 days before cancellation, not after.
Read case study →40+ critical events completely missing. Their highest-value feature had 13% discovery and zero tracking. We found the gaps, built the roadmap, and uncovered $2.5M+ in annual revenue hiding behind 3 tracking blind spots.
Read case study →THE ECONOMICS
The Growth OS delivers in 6 months what a $1.0–1.5M/yr team takes 18 months to build — and reaches full operating capacity in 6 weeks.
| Option | Annual cost | Time to capacity |
|---|---|---|
| VP Growth + team (5 roles, total comp) | $1.0M–$1.5M/yr | 18–24 months |
| Fragmented agencies (analytics + growth + design) | $600K–$900K/yr | Never integrated |
| ProductQuant Growth OS | $180K–$300K / 6 months | 6 weeks |
HOW TO START
Installs the complete growth infrastructure — analytics rebuilt around decisions, experiment engine calibrated, churn model trained, competitive intelligence established. At the end, it's yours.
Learn more →Jake runs the analysis, experiment design, churn modelling, and intelligence. Your team handles execution. The system compounds every month — the experiment library grows, the model sharpens, the intelligence deepens.
Learn more →Jake's team runs all six growth layers. Competitive intelligence, analytics, experimentation, churn prevention, product, and GTM — all connected, all running. 60 minutes a week from the CPO. That's the only ask.
Learn more →If you need a targeted diagnostic first — ask on the call.
Book a 15-minute call. We'll tell you exactly which tier makes sense for where you are — no pitch, no deck — just clarity on fit.
A 15-minute call is enough to know whether what we do is relevant to where you are.