Guides & Resources

10 resources
MatrixAI for M&E

AI-Assisted Data Quality Tools Matrix

Compare AI-powered data cleaning software, custom ML models, and AI-assisted scripting libraries for M&E data quality verification.

|5 min read
MatrixAI for M&E

AI Integration for Donor Compliance Reporting Matrix

Compare four levels of AI integration for donor compliance reporting: from manual approaches to advanced automation. Make informed decisions on where to invest.

|6 min read
Reference CardMethodology

The Decision Test: 5 Questions for Every Indicator

Every indicator should pass the Decision Test before it earns a place in your monitoring plan. These 5 questions expose indicators that collect data no one will use.

|6 min read
ChecklistMethodology

Evaluation Terms of Reference Quality Checklist

Ensure your Terms of Reference will produce an evaluation that changes decisions, not one that gathers dust.

|5 min read
Reference CardMethodology

Evaluation Types Comparison Matrix

Compare five evaluation types at a glance: Formative, Summative, Developmental, Impact, and Process. Choose the right evaluation for your program stage and purpose.

|5 min read
GuideAI for M&E

AI-Assisted Indicator Development and SMART Validation

Reduce indicator development time from 3-4 hours to 1 hour per set using a structured AI-assisted workflow with consistent SMART validation.

|5 min read
GuideAI for M&E

Cleaning Messy Datasets for M&E Analysis

75% of M&E datasets have quality issues affecting analysis accuracy. Learn how to use OpenRefine and AI tools to clean survey data in 2-3 hours instead of 15-20.

|5 min read
GuideAI for M&E

Generating Survey Questions with AI

Use AI tools to accelerate survey development from weeks to days while maintaining quality through structured prompting and field expert validation.

|5 min read
GuideAI for M&E

PII Removal Before Sharing Data with AI

A practical checklist and workflow for identifying and removing personally identifiable information from M&E data before using AI tools for analysis.

|5 min read
GuideAI for M&E

Prompt Engineering for M&E Practitioners

Most M&E practitioners write vague prompts and get mediocre AI outputs. The 4Cs Framework (Clear, Complete, Contextual, Constrained) delivers 5-10x better results from the same tools.

|5 min read

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