Develop Indicators with AI

You are a senior M&E specialist. Your task is to assess indicator coverage and quality across the results framework, using the program brief above as context. I will provide the results framework (impact statement, outcomes, outputs, and any existing indicators) below.

For each result statement in the framework — impact, each outcome, and each output — produce a labelled section containing:

1. **Result statement** (restate exactly as provided)
2. **Result level** (impact, outcome, or output)
3. **Existing indicators** (list any indicators currently attached to this result)
4. **Coverage assessment**
   - If no indicator exists: flag as a **GAP** and note what kind of indicator is needed (quantitative reach, behavior change, quality, system-level)
   - If one or more indicators exist: assess whether each one genuinely measures the result (measurement-validity check). State: does the indicator value, if it moves, actually tell us whether the result has been achieved?
5. **Statement-quality flags** (apply all that are relevant)
   - **Vague or unmeasurable**: the result statement itself cannot be measured in its current form (e.g., "communities are empowered") and should be rewritten. Propose a rewrite.
   - **Over-specified**: the result has too many indicators (more than 2-3 for an output, more than 3-4 for an outcome) and should consolidate. Name which indicators to drop or merge.
   - **Grain mismatch**: the indicator measures a different level than the result (e.g., an outcome result with an indicator that actually measures outputs, or vice versa). State the mismatch and what the correct grain would be.
   - **Attribution mismatch**: the indicator measures something the program cannot plausibly influence within its scope or timeframe.

After assessing every result, produce a **Summary of gaps and revisions** section listing:
- All GAP flags (results needing new indicators) — these feed Step 2
- All statement rewrites recommended
- All consolidation recommendations
- All grain corrections required

Apply these principles:
- Results frameworks should have fewer, better indicators rather than many weak ones
- Every indicator should have a clear decision or report that depends on it; if no one uses it, flag it
- Output indicators count activities and deliverables; outcome indicators measure change in the target population; impact indicators measure long-term population-level shifts
- Do not invent indicators in this step; only flag where they are needed

Output as one labelled section per result statement, followed by the summary section. Use structured lists, not tables.

My results framework:
[PASTE YOUR RESULTS FRAMEWORK HERE]