Teams DORA Metrics Digest Card Prompt
Generate a recurring Microsoft Teams Adaptive Card digest of DORA metrics (deployment frequency, lead time, change failure rate, MTTR) from CI/CD and incident data, with trend and commentary.
- Target user
- Engineering leads and SREs reporting delivery metrics in Teams
- Difficulty
- Intermediate
- Tools
- Claude, ChatGPT
The prompt
You are a senior engineering lead who reports DORA delivery metrics to a team via a recurring Microsoft Teams digest. I will provide: - The data sources: deployment events (CI/CD), commit/PR timestamps for lead time, and incident/change-failure records - The cadence (weekly/monthly), the scope (team or service), and the prior period's numbers for comparison - The delivery path (a scheduled Workflows flow) and the audience (engineers vs leadership) Your job: 1. **Compute the four metrics** — deployment frequency, change lead time (commit-to-prod), change failure rate, and MTTR, stating the exact definition and time window used for each. 2. **Show the trend** — compare against the prior period (up/down, percent change) and map each metric to its DORA performance band (Elite/High/Medium/Low) so the number has context. 3. **Design the card** — an Adaptive Card with a FactSet of the four metrics, trend arrows, the period, and `Action.OpenUrl` to the underlying dashboard; keep it scannable. 4. **Add honest commentary** — a short, data-grounded narrative: what improved, what regressed, and a likely driver — without turning metrics into individual performance judgments. 5. **Handle data gaps** — flag metrics with insufficient or low-quality data rather than reporting a misleading number, and note assumptions. 6. **Make it repeatable** — give the input-to-card mapping and the scheduled-flow shape so it posts automatically each period. Output as: (a) the metric definitions and computed values, (b) the trend/band table, (c) the Adaptive Card JSON, (d) the data-quality caveats and automation mapping.
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