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IPN Knowledge Resources
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Data Collection & Management
What questions to answer before choosing a data collection tool?
What to look for when choosing a data collection tool?
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Commonly used Data Collection Tools
Data Collection Tool Implementation Roadmap
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MEL Specialist
MEL Specialist
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
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
Explore more tools for MEL
Category
Tool Name
Description
Key Use Cases
Website
Tutorials
Category
Tool Name
Description
Key Use Cases
Website
Tutorials
Ethics, Collaboration & Compliance
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
Analysis & Insights
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
Data Collection & Processing
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
Data Cleaning, Integration & Management
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
Reporting & Visualization
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
Obviously.AI
Simple interface to build instant AI models from CSV files no code required.
- Analyze survey responses - Predict dropout or behavior - Automate indicator classification
Tutorials
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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