stakeholder-alignment — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited stakeholder-alignment (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Data products are built by a core squad with extended stakeholder input:
Core Squad (day-to-day, co-equal authority):
Extended Squad (contribute expertise, not approval gates):
CRITICAL: Bring extended stakeholders in during shaping (before commitment), not during delivery (as surprise reviewers). Early input prevents late vetoes.
When translating technical data work for business audiences:
Replace jargon with outcomes. "We normalized the schema and added SCD Type 2" becomes "Historical changes are now tracked, so you can see how patient records evolved over time."
Lead with the decision it enables. Not "we built a pipeline" but "you can now see which patients are at risk of readmission within 24 hours of discharge."
Quantify impact in business terms. Not "query performance improved 10x" but "the report that took 45 minutes now takes under 5 seconds, saving your team 3 hours per week."
Name the tradeoff, not just the recommendation. "We can ship in 3 weeks with 90% accuracy, or 6 weeks with 99%. The 90% version catches the same high-risk patients but may flag 10% more false positives."
When a stakeholder says "I need a dashboard for X":
NEVER build what was asked for without understanding why it was asked for. The request is a symptom. The decision they need to make is the diagnosis.
Use a Betting Table (quarterly or per-cycle):
AVOID the loudest-voice-wins pattern. Data team capacity is finite. Every yes is an implicit no to something else. Make the tradeoffs explicit.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.