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North Star Metric Selector

by @quochungto

Use this skill to construct a growth equation for a product and select a defensible North Star Metric that actually reflects core value delivery — rejecting...

Versionv1.0.0
When to Use
TriggerAction
This skill applies when:
- Your team is debating between several metrics and can't align on which to track
- You suspect the current orienting metric (DAU, total signups, GMV, pageviews) is a vanity metric that can rise while the business stagnates
- You are setting up your growth team and need a North Star before running the first experiment cycle
- You have PMF confirmed (40%+ "very disappointed" on the must-have survey, stable retention curve) and are ready to scale
- Someone on your team challenges whether the current metric captures real value delivery, and you need a structured argument
Do not use this skill before confirming product/market fit. Selecting a North Star before PMF creates false precision — you will orient a team around the wrong signal.
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💡 Examples

Consumer Marketplace — Accommodation Platform

A short-term rental platform with strong early adopter retention asked: "Should we orient around DAU, total listings, or something else?"

The aha moment: a guest successfully books unique accommodation in their destination city within a single session. The growth equation revealed the core stages: listings (supply) × search sessions (demand) × booking conversion × guest satisfaction → repeat bookings. Nights booked was the only variable that captured both supply and demand satisfaction simultaneously — a night booked means a host listed a quality property AND a guest found and committed to it. Orienting around nights booked also surfaced a non-obvious lever: professional photography increased listing quality, which increased booking conversion in lagging markets. DAU would never have revealed this lever — the metric couldn't distinguish between users who browsed and abandoned from users who completed bookings.

Input metrics: listing completion rate, search-to-booking conversion rate, average listings per active market.

B2B SaaS — Team Collaboration Tool

A project management SaaS with a freemium model was orienting around monthly active users (MAU). The growth team suspected this was the wrong metric because MAU was rising while paid conversion was flat.

The aha moment: a team lead sees their entire team's tasks update in real time without anyone logging data manually. The growth equation exposed the gap: trial signups × team activation rate (≥3 members completing setup) × weekly collaborative sessions × conversion to paid. MAU failed the vanity metric check — a single user opening the app weekly counted as "active" even if they never invited their team, which meant they never experienced the aha moment. The better North Star: weekly collaborative sessions per team (defined as ≥2 members using a shared project in a 7-day window). This metric could not rise without teams actually collaborating, which is precisely the must-have experience.

Input metrics: team invite completion rate, shared project creation rate, integration setup completion.


View on ClawHub
TERMINAL
clawhub install bookforge-north-star-metric-selector

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