Evaluation Dashboards That Donors Actually Use: A Practical Blueprint – Nic | Data

Author

Nichodemus Amollo

Published

October 31, 2025

Why Most Evaluation Dashboards Fail

Common dashboard problems:

Try to show everything instead of answering a few key questions
Use fancy visuals but hide the core indicators
Are built for data people, not for program managers or donors

Good dashboards:

Start from decisions and work backward
Focus on 5–10 critical indicators
Have clear structure: Overview → Drill-down → Details

A Simple Layout for an M&E Dashboard

Header
- Project name, geography, timeline
- Last update date
Top-line Results
- 3–5 big metrics:
  - Coverage
  - Quality
  - Equity
Trends Over Time
- Time-series for core indicators
Disaggregation
- By county/district, sex, age group, facility type
Data Quality & Notes
- Missingness
- Known caveats

Building This with R + Quarto (Conceptually)

You can:

Use R to:
- Load cleaned data from a database or CSV
- Compute indicators and disaggregations
- Generate plots with ggplot2
Use Quarto to:
- Create a parameterized report per region or partner
- Schedule automated updates

Portfolio idea:

Build a static evaluation dashboard for:
- Maternal health
- Immunization
- NCD outcomes
Host it via GitHub Pages or Quarto Publish.

Checklist for Donor-Ready Dashboards

The first screen answers “Are we on track?”
Indicators match the logframe / results framework
Disaggregations align with equity priorities
Definitions and caveats are documented
Data refresh schedule is clear

Make the dashboard feel like a decision tool, not a portfolio decoration.

---
title: "Evaluation Dashboards That Donors Actually Use: A Practical Blueprint"
subtitle: "Stop building pretty dashboards nobody opens—start shipping tools that drive funding decisions"
author: "Nichodemus Amollo"
date: "2025-10-31"
categories: [Dashboards, Monitoring & Evaluation, Data Visualization]
image: "/img/blog-analytics.svg"
---

## Why Most Evaluation Dashboards Fail

Common dashboard problems:

- Try to show **everything** instead of answering a few key questions
- Use fancy visuals but **hide the core indicators**
- Are built for data people, not for **program managers or donors**

Good dashboards:

- Start from **decisions** and work backward
- Focus on **5–10 critical indicators**
- Have **clear structure**: Overview → Drill-down → Details

---

## A Simple Layout for an M&amp;E Dashboard

1. **Header**
   - Project name, geography, timeline
   - Last update date
2. **Top-line Results**
   - 3–5 big metrics:
     - Coverage
     - Quality
     - Equity
3. **Trends Over Time**
   - Time-series for core indicators
4. **Disaggregation**
   - By county/district, sex, age group, facility type
5. **Data Quality & Notes**
   - Missingness
   - Known caveats

---

## Building This with R + Quarto (Conceptually)

You can:

- Use R to:
  - Load cleaned data from a database or CSV
  - Compute indicators and disaggregations
  - Generate plots with `ggplot2`
- Use Quarto to:
  - Create a parameterized report per region or partner
  - Schedule automated updates

Portfolio idea:

- Build a static evaluation dashboard for:
  - Maternal health
  - Immunization
  - NCD outcomes
- Host it via GitHub Pages or Quarto Publish.

---

## Checklist for Donor-Ready Dashboards

- [ ] The first screen answers “Are we on track?”
- [ ] Indicators match the logframe / results framework
- [ ] Disaggregations align with equity priorities
- [ ] Definitions and caveats are documented
- [ ] Data refresh schedule is clear

Make the dashboard feel like a **decision tool**, not a portfolio decoration.