Pertama Partners

AI Impact Measurement and Reporting for Non-Profits

Use AI to transform programme data into compelling impact narratives, board reports, and programme evaluations. Designed for ASEAN non-profits and foundations that need to demonstrate results to funders, boards, and stakeholders without dedicated M&E teams.

Non-profitIntermediateAI Readiness & Strategy3-5 weeks

Transformation

Before & After AI

What this workflow looks like before and after transformation

Before

Programme data collected in spreadsheets with no standardised analysis process. Impact reports take 3-4 weeks to produce and rely on a single staff member. Board reports are text-heavy with limited data visualisation. Programme evaluations are outsourced at high cost or skipped entirely. Staff struggle to translate raw numbers into meaningful stories for different audiences.

After

AI assists with data analysis, narrative generation, and report formatting across all programmes. Impact reports produced in 1-2 weeks with consistent quality. Board reports include clear data summaries, trend analysis, and actionable recommendations. Programme evaluations use structured frameworks with AI-assisted analysis. Staff confidently communicate impact to funders, boards, and the public.

Implementation

Step-by-Step Guide

Follow these steps to implement this AI workflow

1

Transform Programme Data into Impact Narratives

1-2 weeks

Use AI to analyse raw programme data and generate clear, compelling impact narratives that connect activities to outcomes. Translate numbers into stories that resonate with different audiences: funders, board members, beneficiaries, and the general public.

Convert programme data to impact narrative
You are an M&E specialist at [ORGANISATION NAME]. Convert the following programme data into a compelling impact narrative for [AUDIENCE: funders/board/public]. Programme: [PROGRAMME NAME] in [COUNTRY]. Data: [PASTE KEY METRICS, OUTPUTS, AND OUTCOMES]. Focus on what changed, not just what happened.
Always verify that AI-generated narratives accurately reflect your data. Do not let AI infer outcomes that your data does not support.
2

Generate Board Reports with AI Assistance

1 week

Use AI to produce structured board reports that combine financial summaries, programme updates, risk assessments, and strategic recommendations. Create consistent report templates that help board members make informed decisions quickly.

Draft a non-profit board report
You are the executive director of [ORGANISATION NAME]. Draft a board report for the [QUARTER/MONTH] meeting. Include programme updates, financial summary, key risks, and strategic decisions needed. Programmes: [LIST]. Financial data: [PASTE SUMMARY]. Keep it concise and decision-focused for busy board members.
Board reports should be factual and balanced. Let AI help with structure and formatting, but ensure all data points are verified by your finance and programme teams.
3

Conduct AI-Assisted Programme Evaluations

1-2 weeks

Use AI to structure and analyse programme evaluations using standard frameworks (OECD DAC, Most Significant Change, Outcome Harvesting). Generate evaluation questions, analyse qualitative data, and draft findings and recommendations.

Structure a programme evaluation
You are an external evaluator reviewing [PROGRAMME NAME] implemented by [ORGANISATION] in [COUNTRY] over [DURATION]. Using the [OECD DAC / MSC / OTHER] framework, generate evaluation questions, analyse the following data, and draft preliminary findings with recommendations. Data: [PASTE PROGRAMME DATA AND STAKEHOLDER FEEDBACK].
AI can help structure evaluations but cannot replace field visits, stakeholder interviews, or professional evaluator judgement. Use AI for analysis support, not as the sole evaluation method.
4

Create Data-to-Story Visualisation Briefs

3-5 days

Use AI to generate visualisation briefs that translate programme metrics into clear charts, infographics, and dashboard specifications. Help non-technical staff communicate data effectively to stakeholders who prefer visual formats.

Generate a data visualisation brief
You are a data storytelling consultant for [ORGANISATION NAME]. I have the following programme metrics and need to present them visually for [AUDIENCE]. Recommend the best chart types, key messages for each visualisation, and a narrative flow. Data: [PASTE METRICS]. Suggest a 4-6 slide structure for maximum impact.
AI recommends chart types and narratives, but you will need a design tool (Canva, PowerPoint, Google Slides) to create the actual visuals.

Get the detailed version - 2x more context, variable explanations, and follow-up prompts

Tools Required

AI language model for narrative generation and data analysis (any provider)Spreadsheet tool for data organisation and basic analysisPresentation tool for visual reports (Canva, PowerPoint, Google Slides)Programme database or M&E system for source data

Expected Outcomes

Reduce impact report production time from 3-4 weeks to 1-2 weeks

Produce consistent, framework-aligned board reports every quarter

Enable staff without M&E expertise to communicate programme impact clearly and credibly

Solutions

Related Pertama Partners Solutions

Services that can help you implement this workflow

AI Readiness Audit

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AI Pilot Implementation

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Common Questions

No. AI is a productivity tool for M&E work, not a replacement for evaluation expertise. It can help structure reports, analyse text data, and draft narratives, but it cannot design evaluations, conduct field research, or make professional judgements about programme quality. Organisations with complex programmes should still invest in M&E capacity, whether in-house or through external evaluators.

Always treat AI output as a first draft that requires human review. Verify every data point, statistic, and claim against your source data. AI models can misinterpret numbers, invent plausible-sounding statistics, or draw conclusions your data does not support. Build a review checklist: data accuracy, narrative consistency, appropriate attribution of results, and honest acknowledgement of limitations.

Start with what you have. Even basic output data (number of participants, activities completed) can be turned into meaningful narratives with AI assistance. Use AI to help design simple data collection tools (surveys, attendance trackers, feedback forms) for future reporting cycles. The goal is progressive improvement: each reporting period produces better data than the last, and AI makes the most of whatever data is available.

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