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IPN Knowledge Resources
AI for Non-Profits Toolkit

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MEL Specialist

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Where AI can help ?

Use AI to automate data cleaning
Auto-summarize MEL reports
Translate surveys across languages
Generate data visualizations
Run text analysis on open responses

Recommended MEL AI Tools
ChatMnE
Website
Key Use Cases
– Draft surveys and MEL frameworks – Analyze qualitative and quantitative data – Generate donor reports and insights
Julius AI
Website
Key Use Cases
- Upload research data - Ask questions in natural language - Visualize trends fast
Explore more tools for MEL
Category
Tool Name
Description
Key Use Cases
Website
Tutorials
3
ChatMnE
AI co-pilot for Monitoring, Evaluation, and Learning (MEL), built for nonprofits to simplify data, reports, and surveys.
– Draft surveys and MEL frameworks – Analyze qualitative and quantitative data – Generate donor reports and insights
To be updated
Z-Inspection
Ethics framework to evaluate AI systems used in MEL settings.
- Evaluate risk and fairness of AI-MEL systems - Document assumptions and limits
To be updated
OMDENA
AI-for-good collaboration platform for NGOs building geospatial and ML solutions via global teams.
- Build geospatial models for program areas - Segment vulnerable communities - Use predictive models for targeting
To be updated
10
Julius AI
Turns CSVs, spreadsheets, and research data into instant visual summaries and charts.
- Upload research data - Ask questions in natural language - Visualize trends fast
Tutorials
MonkeyLearn
No-code NLP platform for tagging, keyword extraction, and sentiment analysis of qualitative data.
- Analyze open-ended survey responses - Categorize stakeholder feedback - Extract themes
Tutorials
ChatGPT (OpenAI)
Analyze documents, synthesize qualitative data, and write summaries using custom prompts.
- Thematic synthesis - Report generation - Proposal reviews
Tutorials
Thematic
AI tool that identifies recurring patterns and emotions in large-scale feedback data.
- Analyze community feedback - Identify pain points across surveys - Compare sentiment over time
To be updated
Lexalytics
NLP engine that extracts entities, themes, and sentiment from unstructured data.
- Analyze evaluation transcripts - Extract program-specific issues - Auto-code interviews
To be updated
OpenRefine
AI-supported data wrangling tool for cleaning, transforming, and deduplicating MEL datasets.
- Clean messy MEL datasets - Standardize response formats - Merge field data tables
Tutorials
Deepgram
High-accuracy AI transcription engine for audio/video used in field data collection.
- Transcribe stakeholder voices - Build searchable audio records - Extract sentiment from speech
Tutorials
DataRobot
End-to-end ML platform for building predictive models from MEL datasets without coding.
- Forecast dropouts, non-compliance - Identify high-risk geographies - Train impact prediction models
Tutorials
Amazon Forecast
Time-series forecasting tool that learns patterns from MEL data for trend prediction.
- Forecast program KPIs - Detect seasonality in outreach - Automate predictive dashboards
Tutorials
Fairlearn
Python toolkit to evaluate and improve fairness in ML models for decision support tools in MEL.
- Analyze demographic parity in predictions - Adjust for equalized odds - Build inclusive tools
Tutorials
7
Kobotoolbox + AI transcription
Collect field data via forms and transcribe audio/text using AI for faster entry and analysis.
- Digitize survey forms - Transcribe voice-based responses - Enable offline data capture
Tutorials
Typeform + GPT Integration
Create conversational surveys with integrated AI logic and branching based on user responses.
- Design dynamic surveys - Auto-score responses - Generate next-best questions
Tutorials
Pachyderm
Data versioning and labeling system for AI projects involving image/video analysis.
- Organize visual MEL datasets - Label training data - Collaborate on video reviews
To be updated
Premise
Crowdsourced data collection platform with real-time dashboards for tracking community-based indicators.
- Real-time tracking of field activities - Geo-tag community feedback - Monitor conditions at scale
To be updated
Google Earth Engine
Platform for processing satellite and geospatial imagery using ML to track environmental and programmatic trends.
- Track land/water cover change - Analyze deforestation or urban sprawl - Overlay with program impact zones
Tutorials
DeepL
Highly accurate neural machine translation engine for translating MEL tools, surveys, and responses.
- Translate MEL surveys to local languages - Review open-ended answers - Create multi-lingual reports
Tutorials
Unbabel
Human-in-the-loop AI translation platform for contextual survey and interview translation.
- Translate stakeholder interviews - Use glossary for accurate terms - Deliver rapid cross-language analysis
To be updated
4
TolaData
An M&E platform with integrations to streamline form-based data collection and indicator tracking.
- Upload and map indicator data - Manage logframes - Create dashboards
Tutorials
Trifacta (now part of Alteryx)
Smart data preparation and anomaly detection for structured MEL datasets.
- Flag inconsistent entries - Join multiple forms - Standardize indicators
To be updated
Talend Open Studio
Drag-and-drop ETL platform for integrating MEL data across sources with logic and filtering.
- Clean and merge field datasets - Auto-refresh indicators - Move data between systems
Tutorials
Google Cloud DataPrep
Smart data wrangling and transformation platform powered by Trifacta.
- Prepare large datasets for MEL analysis - Use AI to detect structure - Create repeatable cleaning pipelines
Tutorials
10
Quillbot
AI paraphrasing and summarization tool to support analysis note cleanup and report generation.
- Summarize evaluation interviews - Rephrase quotes for clarity - Support MEL report writing
Tutorials
Power BI + AI Insights
Microsoft's analytics platform enhanced with AI to suggest visuals, forecast trends, and detect anomalies.
- Auto-suggest dashboards - Anomaly detection in KPIs - Text-to-visual insights
Tutorials
Looker Studio + GPT add-on
Google’s free dashboarding tool with custom GPT scripts for insight generation.
- Visualize MEL KPIs - Explain trends using GPT - Auto-generate charts
Tutorials
Tableau GPT
Built-in AI in Tableau Cloud for describing trends and detecting insights in MEL data.
- Narrative descriptions of dashboard patterns - Explain causality - Predict trends
Tutorials
Scribo AI
AI tool to turn M&E data tables into narrative reports, executive summaries, or slide decks.
- Auto-generate MEL reports - Translate insights into plain language - Create board-ready briefs
To be updated
Narrative BI
No-code tool that generates summaries and stories from KPIs for non-technical stakeholders.
- Turn dashboards into human-readable updates - Generate progress narratives
Tutorials
What-If Tool (Google AI)
Visual tool for probing ML models, examining biases and sensitivity in MEL AI models.
- Evaluate edge cases - Visualize model behavior - Ensure equity before field deployment
Tutorials
Flourish
Interactive storytelling tool to visualize MEL data through maps, charts, and scrollytelling.
- Visualize MEL stories - Embed live data visuals in reports - Animate indicator changes
Tutorials
Datawrapper
Easy tool to create embeddable, interactive MEL charts and maps with annotations.
- Make MEL dashboards accessible - Generate clear visuals for board meetings - Highlight outliers and gaps
Tutorials
Simple interface to build instant AI models from CSV files no code required.
- Analyze survey responses - Predict dropout or behavior - Automate indicator classification
Tutorials

info

Adoption Tips

Begin with AI for reports/summaries
Ensure ethical use of data
Cross-check AI outputs with M&E logic
Use offline-compatible tools when possible

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