Productize.
by BitMountain AI ↖  ·  First 3 companies: free sample brief
Your AI head of product & data

Every Monday.
One problem.
One verdict.

Productize is an AI head of product & data for companies too small to hire one. No dashboard you won't open. No chat box you don't know what to ask. A one-page decision brief, pushed to your inbox: where your numbers stand, the one problem the arithmetic says matters most this week — and the verdict on last week's fix, judged against a threshold written down before it shipped.

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Sample · Week 31
Weekly Business Review ACME LEARNING · WK JUL 28
North StarNowH2 TargetStatus
Growth — weekly organic visitors v2.034300▼ BEHIND
Activation — weekly active learners1720▲ ON TRACK
Revenue — subscriptions (28d)28— EARLY
Readout · Data quality · Decision needed

Your growth metric has been counting a headless-browser fleet since late June. Reported organic ran 676 → 4,363; the real number never left 28–44/week. Two briefs were written on it — one called it on track, the next called it a collapse. Neither happened. Hold the paid-acquisition plan until it is re-decided on the corrected denominator.

3 findings · 1 metric rebuilt data quality 3/3 ✓
01 — The operating rhythm

One system, three documents. Zero logins.

1

Intake

Once · 20 minutes

We connect to your data read-only, hear what you're trying to move, and map your metric tree: North Stars, drivers, and half-year targets. You approve the targets.

2

Quarterly Playbook

Every quarter

Where your metrics leak, which themes fix them, which projects to run — each with data-driven impact math — ranked against the resources you actually have.

3

Weekly Business Review

Every Monday

Progress against the playbook: what moved, what shipped, and the verdicts — every fix judged against the condition we wrote down before it went live. One new problem gets opened; the rest is deliberately left alone.

02 — The metric tree

The discipline big companies pay $150k+ a year for.

NSM · REVENUE — paid subscriptions (28d) now 0 → target 8 Subs = Learners × Offer seen × Pressed × Paid 4 = 115 × 24% × 25% × 57% ▲ the broken term ├─ learner sees a price 24% 60% │ └─ 87 of 115 never saw one ≈ +5/28d └─ offer → purchase 14.3% healthy — leave alone

We don't rank problems by opinion. We break the number into an identity, measure every term, and check that it reconciles — above, 115 × 24% × 25% × 57% = 4, and it does. Only then does one term get called broken.

That arithmetic is what decides the order of work. Here, 87 of 115 engaged learners never saw a price at all, while everyone who did converted at 14.3%. Closing that one gap is worth roughly five subscriptions a month with no new traffic — more than eight times more traffic would buy, because traffic multiplies a conversion rate that is currently zero.

This is how the strongest Silicon Valley product organisations make decisions: not "what does the dashboard say," but which term in the equation is actually broken, and what will we accept as proof we fixed it. The proof condition is written down before the fix ships, so the verdict can't be fitted to the result afterwards.

Every term is in scope — pricing, funnel, retention, content, the product itself. The breadth is in what we look at; the output stays one problem a week, because a head of product's value is mostly in what they say no to.

03 — The loop

Measurement is half the job. Shipping is the other half.

01

Find

Problems are found by looking. A report only catches a known failure recurring — it never finds a new one.

02

Size

Pareto, by arithmetic. The identity says which term pays the most — instinct doesn't get a vote.

03

Candidates

At least three ways to fix it, generated before falling in love with one.

04

Instrument

Built only if the readout needs it — never as the week's whole output. Measurement absorbs unlimited time and always looks defensible.

05

Threshold

The proof condition, written down before anything ships. "No verdict" is an allowed outcome; a fitted verdict is not.

06

Ship

Something changes in the world every week. A plan that only measures is a rejected plan.

07

Verdict

Read against the pre-registered threshold. A killed false alarm counts as a finding too — it gets recorded, not deleted.

08

Make permanent

Winners get locked in. Losers get reverted. Either way the record survives, so the same question is never paid for twice.

Why the loop is the product: anyone can send you a weekly report. The value is that every brief closes a loop opened by an earlier one — recommend, ship, measure, rule — and the verdicts accumulate into a record of what actually works in your business.
04 — Why you can trust it
"No metric in this brief was guessed."
— the last line of every brief we send.

The numbers are computed by code, never by the AI. Every metric has a versioned, deterministic query definition. The AI writes the narrative from computed numbers only — so it can be sharp without ever being wrong about a figure.

Before your first brief, we audit your tracking. If your funnel is silently broken — and it usually is somewhere — that's finding #1, free.

Customer zero is our own product, and both findings on this page are real. The growth metric had been counting a headless-browser fleet for six weeks, with two briefs already written on the inflated number before the audit caught it; the correction shipped that week — crawler excluded at the definition layer, targets reset against the real base, and a Search Console cross-check that now runs on every brief. The revenue tree above is this week's work: the founder reported no new subscriptions, and the decomposition put the hole at the offer, not at checkout — 87 of 115 engaged learners had never seen a price. Two plausible explanations were killed before that was written, including one the deploy timeline strongly supported, because the code showed it could not be true.
Built by a Silicon Valley Data and Product leader who ran this exact operating rhythm for product and ops teams — now packaged for companies that can't hire one.
05 — What Productize is not

We are deliberately not building:

×01

A dashboard

You already have one. Nobody opens it. Decisions don't live in charts — they live in a document with your name on it.

×02

A chatbot

"Ask your data anything" assumes you know what to ask. The whole point of a head of data is that they bring the question — and the answer.

×03

Another AI report

Generic insights get polite nods. Briefs are written against your targets and your resource constraints — that's why they change decisions.

06 — Start

First three companies get a sample brief. Free. On your real data.

01

Email us your company, stack, and the one metric you most want to move.

02

20-minute intake call + a read-only analytics key (PostHog takes 5 minutes to issue).

03

Your brief lands within a week — including the free tracking audit. Then you decide if Mondays should keep coming.