Hiring a growth team takes 18 months to reach capacity. ProductQuant takes 6 weeks.

The economics of build vs. buy — laid out honestly. Most VP Growth hires spend their first 6 months building the infrastructure that should have existed before they were hired.

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What "building an internal growth team" actually looks like.

Month 0-3

Recruiting VP Growth — JD written, search firm engaged, interviews running

Month 3-6

VP Growth ramps — onboarding, tool access, team assessment

Month 6-9

VP hires team — Growth PM, Growth Engineer, Data Scientist recruited

Month 9-12

Team forming — stack aligned, processes defined, first projects scoped

Month 12-18

Operating velocity — full team productive, first compounding results

18 months from decision to full operating velocity. Meanwhile, your board meeting is in 90 days.

How ProductQuant reaches operating velocity.

Week 1-2

Contract + kickoff. Analytics access granted.

Week 2-6

DISCOVER complete. Full opportunity map delivered.

Week 6-10

Full Growth OS operational. Experiments live. Churn model scoring.

The economics of building vs. buying.

All figures are fully loaded — base salary, equity (at cost), benefits, and recruiting fees included.

What an internal growth team costs

Role	Base Salary	Total Comp
VP Growth	$250,000-$350,000	$350,000-$550,000
Growth PM	$140,000-$175,000	$170,000-$225,000
Growth Engineer	$150,000-$200,000	$190,000-$265,000
Growth Designer	$120,000-$150,000	$145,000-$195,000
Data Scientist	$145,000-$190,000	$180,000-$250,000
TOTAL (5-person team)	$805,000-$1,065,000	$1,035,000-$1,485,000

Build vs. buy — full comparison

Option	Annual Cost	Time to Full Capacity	Risk
Full internal team	$1.0M-$1.5M/yr	18-24 months	Key-person dependency; turnover destroys momentum
Fragmented agencies	$600K-$900K/yr	Never fully integrated	No single accountability; outputs don't compound
ProductQuant Growth OS	$540K-$600K/yr	6 weeks	Infrastructure stays if engagement ends

What's actually running at the 6-month mark.

Internal team — Month 6

✗ VP Growth still ramping
✗ Team not yet hired
✗ Analytics stack not yet aligned
✗ Zero experiments run
✗ No churn model

Fragmented agencies — Month 6

~ Analytics dashboard exists
✗ No experiment engine
✗ No churn prediction
~ Some campaign data
✗ Outputs don't talk to each other

ProductQuant Growth OS — Month 6

✓ Analytics re-instrumented and live
✓ 4-6 experiments completed
✓ Churn model scoring weekly
✓ Competitive intelligence database active
✓ GTM copy updated from competitive data

When building in-house is the right choice.

You're Series C or later with budget certainty and a 24-month runway for team development
You want deep institutional knowledge that only comes from a full-time team inside the company
Growth is your primary competitive differentiator and requires proprietary tooling

When ProductQuant is the right choice.

You need operating velocity in weeks, not months
Your board meeting is in 90 days and you need results to show, not a team to introduce
You want infrastructure that compounds — not headcount that needs managing

Common questions.

Can we use ProductQuant while we hire in-house?

Yes — and this is common. ProductQuant builds the infrastructure first; your in-house team inherits a running system instead of starting from scratch.

Does the infrastructure transfer when the engagement ends?

Everything. Event taxonomy, ML models, experiment backlog, competitive database, SQL queries — all of it. You own it.

What about knowledge transfer?

Documented in writing. Every model has a README. Every dashboard has a decision log. Every process has a runbook.

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Operating velocity in 6 weeks.

See the full offer structure — or book 15 minutes to run the economics for your specific situation.

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