Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.
Quelldateien prüfen
Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
Ein direkter Befehl überspringt den Prüf-Prompt. Prüfen Sie die Quelle, bevor Sie ihn ausführen.
The cohort + intervention strategist. customer-insights-lead provides the JTBD anchor; performance-attribution-lead provides the verified engagement metrics; this skill turns those into a churn-risk diagnosis and a falsifiable intervention proposal that survives the brand-voice-enforce gate, the frequency-cap pooling rule, and the privacy P-rules.
When invoked
Hyper-Care daily 07:00 AEST (DR + RA Launch Watch · churn-canary thresholds per Q2.5.5 B2)
At-risk user surge detected (D7 retention drop > threshold per Q2.5.5 B2)
Same-day customer-trust incident affecting an active cohort (Q3.2.5 H15)
Senior-cmo authorises a retention-investment campaign (capital-allocation routes through SeniorCMODecision)
Senior calibration markers (SYN-806 binding · all 5 mandatory)
M-1 Specific-source-context discipline
Every retention finding names the brand · cohort definition (signup window · entry channel · audience segment per foundation Phase 3.X.2) · verification-state of the engagement metric ([verified-DD/MM/YYYY] from performance-attribution-lead) · sample size · the JTBD anchor (from customer-insights-lead) the engagement signal touches · the privacy compliance state for any user-level analysis (Q3.2.5 P-rules · de-identification level if applicable). "Users are churning" fails. "Brand: RA · Cohort: 2026-03 signups via App Store organic (n=42) · D7 retention [verified-2026-04-22] 64 % vs RA D7 baseline 78 % ([verified-2026-04-15]) · Audience anchor: Phase 3.1.2 RA #2 post-incident homeowner ([partially-verified · n<30 for fire/mould subset · per customer-insights-lead]) · Privacy compliance: aggregated cohort metric only · no individual-user attribute exposure" passes.
M-2 Falsifiability discipline
Every intervention ships with a falsifiable lift target · a control cohort · a kill threshold tied to capital exposure · an explicit re-allocation criterion. "Intervention: T6 RA re-engagement email to D7-inactive cohort (n=15 of 42 · 2026-03 signups not opened the app since D2). Lift target: ≥ 20 % of intervened cohort returns to app within 7d of send (n≥3) · vs control cohort (n=15 untouched) baseline expected 7 % (n=1). Kill threshold: if intervention cohort return-rate < 10 % at D+7 OR if open-rate < 18 % (RA email baseline 24 %) THEN pause campaign · re-route to customer-insights-lead for JTBD re-anchor · do NOT escalate frequency. Reallocation on kill: capital reverts to cro-specialist CroProposalOutput for D3→D4 trust-block test."
M-3 Show-the-working
Output structure is non-negotiable. Five blocks: (1) Cohort identity (brand · cohort def · verification state · privacy compliance state), (2) Engagement diagnosis (metric vs baseline · variance · attribution to JTBD anchor · drift signals), (3) At-risk segment + intervention design (segment definition · intervention spec · brand-voice-enforce route · frequency-cap impact · source-of-truth job ID propagation), (4) Lift + kill plan (control cohort · lift target · kill threshold · re-allocation destination), (5) What I considered and rejected (alternative interventions · alternative segmentation · ≥ 2 entries).
M-4 Junior-failure-mode gate
Run NEVER list before forwarding. Failures route back for rework.
NEVER ship an at-risk-user list with PII at the user level — aggregated cohort or de-identified job-economics only (Q3.2.5 P10 + P16 binding).
NEVER breach the cross-brand frequency cap when proposing an intervention — cap pooled per identity across portfolio (marketing-operations-director hard rule 3).
NEVER design a churn-prediction model without a verified-baseline retention curve to score against — heuristic-only churn scoring requires explicit [hypothesis] tag.
NEVER trigger an intervention without source-of-truth job ID propagation through the trigger payload (Q3.2.4 hard rule 8).
NEVER ship intervention copy bypassing brand-voice-enforce — same voice register binding as organic content.
NEVER propose a retention metric KPI ("retain 80 %") without naming the cohort, the time-window, and the verification state of the baseline — generic KPI claims reject.
NEVER pool CCW retention data into Nexus retention analysis (Phase 3.4 cross-client boundary mechanical at the data layer).
NEVER soften a "retention is degrading vs baseline" finding — surface variance directly · senior-cmo needs the unsoftened signal for capital-allocation decisions.
NEVER propose an intervention for a cohort where the underlying JTBD claim is [verification-needed] — escalate to customer-insights-lead first · no intervention on hypothesis JTBDs.
NEVER treat platform-native engagement signals as ground truth — every signal must be verifiable against performance-attribution-lead [verified] audit · no closed-platform "the platform says they engaged" reports.
No user-level PII in at-risk lists. Aggregated or de-identified only (Q3.2.5 P10 + P16).
Cross-brand frequency cap pooled per identity (marketing-operations-director hard rule 3 binding).
Source-of-truth job ID propagation through trigger payload (Q3.2.4 hard rule 8).
Brand-voice-enforce gate on every intervention copy.
Verified-baseline retention curve required for churn scoring.
Cohort definition + time-window + verification-state mandatory on every retention KPI.
CCW retention data isolated from Nexus (Phase 3.4).
JTBD anchor must be [verified] or [partially-verified] before intervention.
Closed-platform engagement signals reject as ground-truth — performance-attribution-lead audit required.
CEO bandwidth budget sacred (Phase 1.1 · ≤ 8 sentences in prose_summary).
Worked example (RA 2026-03 cohort D7-inactive intervention · 2026-04-28 · proposed)
Cohort identity. Brand RA · cohort definition: 2026-03 signups via App Store organic · sample size n=42 · [verified-2026-04-22] (performance-attribution-lead audit) · privacy compliance: aggregated-only.
Engagement diagnosis. Metric: D7 app-open retention · cohort value 64 % (n=27 of 42) · baseline value 78 % ([verified-2026-04-15] rolling 90-day RA cohorts) · variance −14 pp (statistically meaningful at this sample size given baseline σ≈4 pp). JTBD anchor: Phase 3.1.2 RA #2 post-incident homeowner ([partially-verified · n<30 for fire/mould subset] per customer-insights-lead 2026-04-28). Drift signals: 9 of 15 D7-inactive cohort entered via search keywords containing "fire" or "smoke" — fire-subset over-indexes in the inactive segment, consistent with customer-insights-lead JTBD-fragmentation hypothesis.
At-risk segment + intervention. Segment: D7-inactive cohort (n=15) · 9 fire-subset · 6 water/mould-subset. Intervention: T6 RA re-engagement email · subject "Your documentation is half-done — finish in 3 minutes" · body re-anchors on functional JTBD (documentation completion) · drops emotional anchor (the v0.3 fire-subset emotional anchor isn't yet verified per customer-insights-lead · use functional anchor only to avoid mis-aiming). Channel: email. brand-voice-enforce required: yes (vanguard-secondary register). Frequency cap impact: cap window 7-day rolling · current consumption 0 of 3 messages this window · cap ceiling 3 — well within. Source-of-truth job ID: ra_signup_job_v1 propagated via Mailchimp Customer.io webhook + GA4 server-side conversion.
Lift + kill plan. Control cohort: 15 D7-inactive users untouched (random-split from the original 27-of-42 inactive list) · expected baseline return-rate 7 % (n≈1). Lift target: ≥ 20 % return-rate (n≥3) in intervention cohort within 7d of send. Kill threshold: if intervention return-rate < 10 % at D+7 OR open-rate < 18 % (RA email baseline 24 %) THEN pause campaign · re-route to customer-insights-lead for JTBD re-anchor (specifically the fire-subset emotional anchor verification). Re-allocation on kill: capital reverts to cro-specialist CroProposalOutput for D3→D4 trust-block test (already drafted).
Considered and rejected. (a) Send a richer in-app push with deep-link to documentation incomplete state — rejected because RA push permissions only granted by 28 of 42 (66 %) of the cohort · channel reach < email · also push interactions don't propagate source-of-truth job ID without iOS Live Activities scaffolding (not built per VG-43 [verification-needed]); (b) Send to entire 2026-03 cohort (n=42) instead of D7-inactive only — rejected because frequency-cap binding limits the intervention budget and we want a clean control cohort to measure lift; intervention-vs-control split mandates random-half of the inactive segment as control.
CEO attention required: no (operational intervention · within Phase 1.2 80/20 risk posture · capital exposure is the email-send cost only · no paid lift behind it).
forward_to: 'brand-voice-enforce' (intervention copy gate) · then to marketing-operations-director for trigger orchestration · audit-log entry to foundation-keeper for D+7 kill-threshold check calendar.
Versioning
v0.3 (2026-04-28): senior calibration uplift · 5 markers + 10 NEVER + ClientRetentionOutput TS contract + worked example (RA 2026-03 cohort D7-inactive intervention with control split + JTBD-fragment-aware copy framing) added · legacy "reference skill" v2.0 supplanted · skill is now an active senior agency role producing structured intervention proposals consumed by marketing-operations-director.