[WELLBEING-01] Establish sustainable pace norms and friction/burnout check-ins
Labels: process, ai-ops, p2-important, effort-small
Assignee: 👤 Human
Phase: Phase 6 — Code Quality
DORA 2025 Source: “AI shows no measurable impact on workplace friction or burnout” finding; “Developer well-being” chapter
Effort: Small (half-day to document; ongoing practice)
Why the 2025 DORA Report Makes This an Engineering Issue, Not an HR Issue
One of the 2025 report’s most sobering findings: “Despite significant productivity gains at the individual level, AI shows no measurable relationship with friction or burnout. Both remain unchanged.”
The reason: friction and burnout are properties of organisational systems and culture, not individual tools. AI helps you generate code faster. It does not address unclear requirements, poor feedback loops, or the pressure created by perceived capacity gains inviting higher output expectations.
The report warns: “Evidence suggests perceived capacity gains invite higher expectations of work output… Most organisations default to work intensification without explicit discussion.”
For a solo or small-team vibe-coding project, this manifests as: Copilot makes features feel “cheap”, so the scope expands constantly, the backlog never shrinks, and the developer is always behind. The fix is not working harder — it is making conscious choices about how productivity gains are used.
Acceptance Criteria
Pace Norms Document
Friction Tracking (lightweight)
WIP Limit Enforcement
The Explicit Choice About Productivity Gains
Files to Create
docs/SUSTAINABLE_PACE.md
- Update
docs/METRICS.md — add Friction self-rating column
- Update
docs/RUNBOOKS.md — add “High Friction Response” runbook
- GitHub Project — configure WIP limit on “In Progress” column
[WELLBEING-01] Establish sustainable pace norms and friction/burnout check-ins
Labels:
process,ai-ops,p2-important,effort-smallAssignee: 👤 Human
Phase: Phase 6 — Code Quality
DORA 2025 Source: “AI shows no measurable impact on workplace friction or burnout” finding; “Developer well-being” chapter
Effort: Small (half-day to document; ongoing practice)
Why the 2025 DORA Report Makes This an Engineering Issue, Not an HR Issue
One of the 2025 report’s most sobering findings: “Despite significant productivity gains at the individual level, AI shows no measurable relationship with friction or burnout. Both remain unchanged.”
The reason: friction and burnout are properties of organisational systems and culture, not individual tools. AI helps you generate code faster. It does not address unclear requirements, poor feedback loops, or the pressure created by perceived capacity gains inviting higher output expectations.
The report warns: “Evidence suggests perceived capacity gains invite higher expectations of work output… Most organisations default to work intensification without explicit discussion.”
For a solo or small-team vibe-coding project, this manifests as: Copilot makes features feel “cheap”, so the scope expands constantly, the backlog never shrinks, and the developer is always behind. The fix is not working harder — it is making conscious choices about how productivity gains are used.
Acceptance Criteria
Pace Norms Document
docs/SUSTAINABLE_PACE.mdcreated with explicit, written agreements about:Friction Tracking (lightweight)
docs/METRICS.mdwith a simple weekly self-rating (1–5):WIP Limit Enforcement
docs/SUSTAINABLE_PACE.mdexplains how to handle WIP limit violations: pull from In Progress to Ready, not by adding a 4th itemThe Explicit Choice About Productivity Gains
docs/SUSTAINABLE_PACE.mddocuments the team’s conscious answer to: “Now that Copilot can generate features faster, how do we use that capacity?”Files to Create
docs/SUSTAINABLE_PACE.mddocs/METRICS.md— add Friction self-rating columndocs/RUNBOOKS.md— add “High Friction Response” runbook