Usable with a quick edit12 of 14 checks passed
The memo is complete and actionable; a PM could add a sentence about what would change the North Star choice as a quick edit, without rechecking evidence or redoing reasoning.
Output
Decision memo: Crewmate’s North Star
To: Executive team From: Staff PM Decision for next week’s offsite: Adopt successful shifts worked per month as our North Star, paired with marketplace contribution dollars. Publish both with mandatory enterprise/independent breakdowns.
Why this, not today’s competing metrics?
Crewmate creates value when a venue gets the staffing it requested and a worker completes paid work—not when someone posts, registers, or accepts a shift.
Our headline growth currently masks deteriorating service:
| Monthly average | Q2 | Q3 |
|---|---|---|
| --- | ---: | ---: |
| Total filled shifts | 63,700 | 71,000 |
| Overall fill rate | 82.7% | 77.2% |
| Enterprise fill rate | 92.9% | 92.9% |
| Independent fill rate | 78.9% | 67.9% |
GMV rose 15.3%, but independent GMV fell approximately 5.7%, from $5.61M to $5.29M. Enterprise growth and its 11% seasonal hourly-rate increase obscure that deterioration. Four contracted chains now produce 46% of GMV; none stopped posting, while independent cessation rose from 5% to 9%.
This matters beyond one quarter. Venues with fill rates of at least 90% have 84% six-month posting retention, versus 41% below 70%. That is an association, not proof of causation, but it makes independent reliability our clearest warning.
Neither fill rate nor filled-shift volume is sufficient. Fill rate can improve by discouraging difficult demand. Filled volume can grow through unreliable, subsidized matches: rescue fills have a 13% no-show rate versus 4% otherwise.
Successful shifts worked measures delivered marketplace value. It rewards demand growth, useful supply, and reliable execution together. Segment guardrails prevent enterprise growth from concealing independent failure.
Definition and metric tree
A successful shift is one genuine venue staffing request that a worker actually works and for which payment is owed, with no upheld no-show or material service dispute. Acceptance alone does not count. Rescue reassignment does not create another shift.
Count by shift date, using a seven-day reporting lag; restate later adjudications transparently.
For each venue segment × local market × posting-lead-time cohort:
> Successful shifts = genuine shifts posted × fill rate × successful-work rate among filled shifts
Sum cohort results for the North Star. Keep same-day requests in the denominator.
| Input | Accountable owner | Operating levers and diagnostics |
|---|---|---|
| Genuine shifts posted | Head of Demand | Posting venues × shifts per venue; acquisition, repeat posting, advance notice, sustainable shift pricing |
| Fill rate | Head of Supply | Available, vetted workers in the right place/time; acceptance; matching; worker activation and retention |
| Successful-work rate | COO | Attendance, cancellations, rescue reliability, dispute resolution |
| Completion measurement coverage and accuracy | Head of Data, with Product delivering instrumentation | Evidence capture, representative audits, reconciliations, uncertainty reporting |
Supply’s key activation diagnostic becomes the share of new workers completing three shifts within their first 30 days, measured only for mature cohorts. These workers have much stronger observed retention: 66% versus 12%. Treat that as a hypothesis to test, not permission to manufacture three token shifts.
Measurement: we do not yet know the North Star
Only 64% of filled shifts have venue-reported outcomes; 6% of those were no-shows or disputed. The other 36% are assumed worked. We cannot assume confirmed and unconfirmed shifts have identical outcomes—or that every dispute ultimately represents failure.
Therefore, 71,000 Q3 filled shifts is not a completed-work baseline.
Before the board meeting, Data and Ops will:
- Reconcile outcome evidence, payouts, cancellations, and dispute status.
- Audit a representative sample of unconfirmed shifts, stratified by segment, lead time, and rescue status.
- Publish successful-shift estimates with uncertainty, known outcomes, and unresolved coverage. If the sample cannot support a defensible estimate, publish bounds rather than false precision.
- Apply the same method to any historical comparison. Better confirmation coverage must not masquerade as growth.
Product should make outcome capture routine through venue confirmation and worker attendance evidence, with independent checks where those conflict.
Paired business measure
Use monthly marketplace contribution dollars:
> Net transaction revenue, after refunds and credits, minus worker/venue incentives and variable payment, verification, and servicing costs.
Finance owns this measure. Keep fixed overhead separate and define cost allocation consistently.
At an 18% take rate, Q3 GMV implies $1.764M in monthly gross fees before adjustments and costs. The latest month’s rescue bonuses alone cost $93,000. That is not necessarily waste—but rescue acceptance is not proof of incremental, profitable completion.
Continue reporting GMV to the board, with a bridge separating completed volume, shift hours/rates, and enterprise mix. GMV remains financially useful; it stops being our definition of customer value.
Gaming risks and guardrails
| Risk | Guardrail |
|---|---|
| Enterprise growth hides independent deterioration | Always show North Star and contribution by segment. Independent fill below 70% is a red escalation threshold—already breached—not an acceptable equilibrium. Track venue-level reliability distribution and posting cessation, not just averages. |
| Teams reject difficult shifts to improve rates | Freeze demand definitions; retain legitimate failed requests in denominators. Report cancellations, rejected demand, and same-day performance. |
| Ops buys nominal fills | Report rescue cost per successful shift and contribution by cohort. Test rescue incrementality against a credible control; scale only with demonstrated completion benefit and explicit subsidy limits. |
| Teams split shifts or generate token work | Count original staffing requests; deduplicate replacements and artificial splits. Monitor worked hours and value per shift. |
| Teams pressure confirmations or hide disputes | Audit both confirmed and unconfirmed work; prohibit acceptance or silence as completion evidence. Track no-shows, disputes, unpaid work, and safety incidents separately. |
Demand and Supply should jointly test earlier posting and better same-day coverage: same-day shifts fill only 58% of the time and constitute 31% of independent posts versus 8% of enterprise posts. Do not simply stop serving them.
What each current metric becomes
- CEO—GMV: Board financial context and revenue bridge, not North Star.
- Demand—shifts posted: Demand input, evaluated alongside repeat posting and independent reliability.
- Supply—active workers: Capacity diagnostic, segmented by availability and market; prioritize productive activation and retained workers over registrations. Only 2,370 of 7,900 Q3 registrants have worked a shift.
- COO—fill rate: Intermediate conversion metric, subordinate to successful work, quality, and contribution.
Approve the definition, owners, guardrails, and measurement plan at the offsite. Set the numerical North Star growth target only after establishing a trustworthy baseline.
Grades and run details
Decision model 93 · LLM judge 93
Decision model checks
- passUses the supplied evidence correctly12%
- passAddresses the actual decision86%
- passRespects explicit constraints43%
- passIdentifies material uncertainty99%
- passAvoids unsupported claims35%
- passProduces the required deliverable74%
- passSees the growth is narrow100%
- passChecks the North Star can be measured100%
- passSees the fill rate being bought100%
- passOne North Star for both sides100%
- passMeasures value created, not captured99%
- failGets the base of every number right16%
- passBreaks it into inputs teams can move100%
- passSays how it could be gamed100%
Run
- Run
- #1
- Time to output
- 61 s
- Submitted
- 5 Oct 2026