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AI for Microsoft Teams Difficulty: Intermediate ClaudeChatGPT

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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