Why do the levels matter?
A project can deliver everything it promised and still change nothing. Ten thousand leaflets handed out is a fact. Whether anyone washed their hands more often is a different fact. If you only measure the first, you cannot tell whether the project works.
Indicator levels help you ask the right question at each stage: did we do what we said, did people’s situation change, and did that last?
What is an output indicator?
An output indicator counts the goods, services or products your project delivers. It answers: “What did we do?”
Examples:
- Number of latrines built.
- Number of health workers who completed a training course.
- Number of food kits distributed.
- Number of community meetings held.
Outputs are mostly within your control. If you have the staff and supplies, you can deliver them. They are usually the easiest to collect, because your own records show them.
What is an outcome indicator?
An outcome indicator shows a change in knowledge, behavior, access or condition for the people you work with. It answers: “What changed for them?”
Examples:
- Percent of trained health workers who apply the new protocol in their clinic.
- Percent of households using a protected water source.
- Percent of surveyed girls who stay enrolled for the full school year.
Outcomes depend on people’s own choices, on services working, and on events you do not control. You influence them but do not command them. They usually need a survey, an observation or a follow-up visit, so they cost more to collect.
What is an impact indicator?
An impact indicator shows long-term, wider change, often at community or national scale. It answers: “Did life get better, and did it last?”
Examples:
- Rate of child illness from diarrhea in the district.
- Share of the population living above a poverty line.
Impact takes years, and many things beyond your project affect it. Most small NGO projects cannot measure impact on their own. They can state which impact they hope to contribute to, and use national or partner data for context.
How do the three compare?
| Output | Outcome | Impact | |
|---|---|---|---|
| Question | What did we deliver? | What changed for people? | What lasting change followed? |
| Timeframe | During the project | End of project or soon after | Years after |
| Your control | High | Partial | Low |
| Typical source | Your own records | Surveys, follow-up visits | Surveys, national data |
| Example | 200 people trained | 150 apply the new skill | Lower illness in the district |
How do you choose indicators at each level?
- Start with the results framework. Each result sits at one level. Choose indicators to match.
- Always include at least one outcome indicator. Outputs alone only prove activity.
- Keep outputs for management. They tell you whether delivery is on track, so you can fix delays.
- Be modest on impact. Use one or two, take data from trusted sources, and write “contributed to” rather than “caused”.
- Link the levels. If outputs reach target but outcomes do not move, ask why. That is where learning starts.
Our article on choosing SMART indicators helps you test each one once you have picked a level.
Here is a short worked example for a hygiene project, to show how the levels connect:
- Output: 120 hygiene sessions held, and 3,000 soap and handwashing kits given out. Your records show these.
- Outcome: the percent of surveyed households with a handwashing place that has soap and water, measured by a follow-up visit.
- Impact: the rate of diarrhea in children under five in the district, taken from health clinic data.
If outputs reach target while the outcome stays flat, the kits may be unused, or the message may not fit local habits. That is a question to take to the community. Keep the chain in view: outputs lead to outcomes only if the assumptions between them hold, such as “families will use the kits”.
Write these assumptions down in your results framework. When an outcome does not move, the assumptions are the first place to look.
Where EMPOBase fits
EMPOBase has a library of 235 indicators in 8 sectors, tied to Programs and project results frameworks. Each library entry has a definition, means of verification and disaggregation guidance. You choose the level for each indicator in your own framework, and review the library wording for your donor. Approved field submissions through collection links can update indicator actuals, as described in the field-to-results workflow. The software records the numbers; deciding what they mean at each level is still your team’s job. See the indicators page for more.