AIOPS-05] Run DORA team archetype self-assessment and document targeted roadmap

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[AIOPS-05] Run DORA team archetype self-assessment and document targeted roadmap

Labels: ai-ops, process, p1-critical, effort-small
Assignee: 👤 Human
Phase: Phase 1 — AI Foundation
DORA 2025 Source: “Seven team archetypes” chapter; “Diagnosing your team profile” guidance
Effort: Small (2–3 hours)
Prerequisites: VSM-01

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Why This Matters (2025 DORA Finding)

The 2025 DORA report replaces the old Elite/High/Medium/Low performance tiers with seven team archetypes derived from cluster analysis. The insight: different archetypes experience AI adoption differently and require different interventions. A “Legacy Bottleneck” team and a “Pragmatic Performer” team both benefit from AI — but at completely different points of their workflow.

“Without accurate team-level measurement mapped to these archetypes, teams misallocate AI investment.” — Faros AI analysis of 2025 DORA data

For Goald, identifying which archetype the team most closely resembles determines which issues in this backlog should be elevated and which can wait.

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The Seven Archetypes

#	Archetype	Characteristics	AI Risk
1	Foundational Challenges	Survival mode, process gaps, high burnout	AI accelerates chaos
2	Legacy Bottleneck	Unstable systems, constant firefighting	AI speeds code, broken deploy swamps gains
3	Constrained by Process	Slow, bureaucratic workflows	AI creates friction with process overhead
4	High Impact, Low Cadence	Quality work, slow delivery, low stability	Need automation to unlock cadence
5	Stable and Methodical	Deliberate, high quality, consistent	AI can safely accelerate here
6	Pragmatic Performers	Fast, functional, effective	AI creates PR review backlog at scale
7	Harmonious High-Achievers	Virtuous cycle: well-being + performance	AI multiplies advantages

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Acceptance Criteria

Self-Assessment Document

• docs/TEAM_ARCHETYPE.md created with:
  • The team’s current archetype (or closest match) with reasoning
  • Evidence from the last 30 days: deployment frequency, rework rate (METRICS-02), PR cycle time, team friction observations
  • The two or three capabilities from the DORA AI Capabilities Model that are weakest for this archetype
  • A targeted 4-week improvement focus based on the archetype

Archetype-Specific Issue Priority Adjustments

Based on the self-assessment, adjust the implementation order in the master index:

If Foundational Challenges or Legacy Bottleneck:

• Elevate: DEVOPS-01 (CI), PERF-01 (indexes), SEC-03 (Firestore rules), OBS-01 (Sentry)
• Rationale: Fix stability before accelerating throughput

If Constrained by Process:

• Elevate: PROCESS-01 (small batches), VSM-02 (bottleneck removal), GITOPS-01 (streamline PR process)
• Rationale: Reduce friction first; AI will amplify the remaining friction otherwise

If High Impact, Low Cadence:

• Elevate: DEVOPS-01, DEVOPS-02, DEVOPS-03 (EAS Build), GITOPS-02 (environment promotion)
• Rationale: Automation to unlock deployment frequency

If Stable and Methodical or Pragmatic Performers:

• Current order is appropriate — proceed as planned
• Watch for: AIOPS-03 (issue templates) and AIOPS-04 (prompt library) becoming bottlenecks as PR volume grows

If Harmonious High-Achievers:

• Accelerate Phase 3 user features; the foundation is sound
• Focus on METRICS-01/02 to maintain visibility as velocity increases

Quarterly Re-assessment

• PROCESS-02 monthly tuning updated to include: “Has the team archetype shifted? Re-read TEAM_ARCHETYPE.md and update if needed.”
• Archetype review is a standing agenda item in the monthly retrospective

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Files to Create

• docs/TEAM_ARCHETYPE.md
• Update docs/RUNBOOKS.md — add quarterly archetype re-assessment
• Update MASTER-IMPLEMENTATION-INDEX.md — note any priority adjustments from archetype assessment