WHAT - Evidence-based management unit assessment for governance, delivery, collaboration, culture, and AI-native management readiness. Interactive and source-driven before any score is assigned.
التثبيت
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
WHAT - Evidence-based management unit assessment for governance, delivery, collaboration, culture, and AI-native management readiness. Interactive and source-driven before any score is assigned.
Management Unit Assessment (WHAT)
Use this skill to assess a management unit: project management, delivery execution, governance, stakeholder alignment, team collaboration, cultural health, and management-layer AI readiness.
Run dots-workstation-project-assessment-evidence first and use dots-workstation-project-assessment as the router when the assessment spans multiple units.
Default guardrails
Apply dots-workstation-output-handshake before final scorecards or reports.
Ask where each evidence source lives before scoring.
Score only indicators that match the assessment scope and available evidence.
Mark every score with evidence links and confidence.
Use Not assessed when evidence is missing or the indicator is out of scope.
For subjective indicators, request validation from the appropriate reviewer or stakeholder.
Unit intake
Ask:
What management scope is being assessed: whole project, squad, delivery stream, account, or another scope?
What period should the assessment cover?
Which methodology, workflow, and governance model is expected?
Where are the board, backlog, planning artifacts, delivery reports, risks, retrospectives, decisions, agreements, and meeting notes?
Where are stakeholder satisfaction, team satisfaction, and communication signals captured?
Who should validate subjective scores?
Indicator groups
Governance and structure
Methodology definition
Workflow definition
Issue definition
Roles definition
Risk management
Progress tracking
Continuous improvement initiatives
Delivery and execution
Delivery
Agile methodology implementation
Sprint planning effectiveness
Backlog management
Retrospective process
Adaptability to change
Collaboration and communication
Business knowledge
Client or stakeholder satisfaction
Communication
Stakeholder engagement
Daily standup effectiveness
Team satisfaction
Culture and values alignment
Raise the bar
Do what I say
Geek out
These indicators are sensitive and subjective. Treat them as conversation-driven evidence unless there are structured feedback artifacts. Record who validated them.
AI-native management readiness
This does not measure AI tool usage. It measures whether management artifacts are structured enough for AI-assisted execution:
Knowledge structure and documentation density
Decision traceability and governance explicitness
Workflow determinism and operational clarity
Feedback loops and continuous learning signals
Human signal and cultural transparency
Scoring rules
Use the 1 to 5 maturity scale.
Score 1 means low, reactive, implicit, undocumented, or highly variable.
Score 3 means defined, observable, or partially mature with consistency gaps.
Score 5 means explicit, repeatable, measurable, and evidence-driven.
Do not treat score 3 as average performance; it means moderate structural maturity.
Do not average subjective indicators without explaining weighting and validation.
For low-confidence scores, record the missing evidence and who should validate it.
Output
Use references/default-template.md for the management unit scorecard.
References
references/default-template.md - default management unit template
references/example-team-assessment.md — example assessment for an engineering management unit
