Building an M&E Evidence Dashboard
EvalCommunity Academy Practical Tutorial
Building an M&E Evidence Dashboard from AI Literature Reviews
Transform AI-assisted literature reviews and evaluation syntheses into interactive evidence dashboards for decision-makers using Google Sheets, Looker Studio, and low-code visualization tools.
Building an M&E Evidence Dashboard from AI Literature Reviews: what this tutorial helps you do
An M&E evidence dashboard turns structured data from AI-assisted literature reviews into visual, interactive, decision-friendly formats. Instead of sharing long documents or dense spreadsheets, you can give colleagues, donors, and partners a dashboard that shows evidence strength, recommendation status, thematic coverage, and learning gaps at a glance.
This tutorial shows how to build an M&E evidence dashboard using low-code and no-code tools such as Google Sheets and Looker Studio, formerly Google Data Studio. You will learn how to prepare dashboard-ready data, choose appropriate visualizations, connect your data to a live dashboard, and share it with decision-makers.
The workflow is designed for Monitoring & Evaluation officers, knowledge management specialists, data visualization officers, program leads, and organizational learning teams.
Learning objectives
Prepare dashboard data
Transform your literature matrix or evidence matrix into dashboard-ready structured data with clear fields and consistent values.
Create evidence visualizations
Build evidence heatmaps, recommendation trackers, theory of change diagrams, and evidence gap charts.
Connect to Looker Studio
Link your Google Sheets data to Looker Studio for interactive, filterable, shareable dashboards.
Share with decision-makers
Publish, embed, or schedule dashboard updates for program teams, donors, and learning audiences.
Types of M&E evidence dashboards
Evidence strength dashboard
Shows which outcomes or themes have strong, moderate, weak, or emerging evidence. Uses heatmaps and color-coded tables.
Recommendation tracker
Tracks evaluation recommendations by theme, stakeholder, timeline, feasibility, cost, and implementation status.
Evidence gap heatmap
Visualizes where evidence is strong, weak, or missing across sectors, geographies, outcomes, or stakeholder groups.
Dashboard-building workflow
Follow these steps to turn your evidence matrix into an interactive, decision-ready dashboard.
Step 1
Define dashboard purpose and audience
Before building anything, clarify who will use the dashboard and what decisions it should support.
Dashboard brief questions:
- Who are the primary users?
- What decisions will this dashboard inform?
- What evidence dimensions matter most?
- How often should the dashboard update?
- What level of detail is appropriate?
AI prompt:
I am building an M&E evidence dashboard for [audience]. The purpose is [decision or learning need]. Help me define the dashboard scope, required data fields, key visualizations, update frequency, and user access level.
Step 2
Prepare dashboard-ready data from your evidence matrix
Your literature matrix or evidence matrix needs consistent column headers, categorical values, and no merged cells or complex formatting.
| Dashboard field | Purpose | Allowed values |
|---|---|---|
| Theme or outcome | Groups evidence by topic. | Text, consistent naming |
| Evidence strength | Shows confidence level. | Strong, Moderate, Weak, Emerging |
| Number of sources | Indicates volume of evidence. | Integer |
| Priority | Shows strategic importance. | High, Medium, Low |
AI prompt:
Transform this evidence matrix into dashboard-ready format. Ensure consistent column headers, categorical values, and no merged cells.
Step 3
Create evidence heatmaps in Google Sheets
Conditional formatting in Google Sheets can create simple but powerful evidence heatmaps before moving to Looker Studio.
| Theme | Evidence strength | Sources |
|---|---|---|
| Youth employment outcomes | Strong | 12 |
| Women’s economic empowerment | Moderate | 8 |
| Climate resilience | Weak | 3 |
| Digital inclusion | Emerging | 2 |
Prompt pack for M&E evidence dashboards
Use these prompts to prepare dashboard-ready data and documentation.
1. Dashboard data preparation
Transform this evidence matrix into dashboard-ready format. Ensure consistent categorical values, no merged cells, and fields suitable for filtering and aggregation.
2. Evidence strength heatmap
Create a dashboard-ready evidence strength summary. Group by theme, show number of sources, evidence strength category, and geographic coverage.
3. Recommendation tracker
Create a recommendation tracker template with columns for recommendation, stakeholder, timeline, feasibility, status, priority, and last update.
Final checklist for M&E evidence dashboards
- Is the dashboard purpose clear?
- Is the target audience identified?
- Is the source data dashboard-ready?
- Are visualizations appropriate for the data type?
- Is sensitive data properly protected?
- Is there a maintenance plan?
Turn evidence into action with M&E dashboards
EvalCommunity Academy helps M&E professionals use AI tools and data visualization to support learning, accountability, and strategic decision-making.
