The Flawed Indicator Trap
An indicator must measure whether a result is being achieved—not merely whether an activity took place.
Scenario (Amina’s Revision):
- Expected Outcome: “Women report increased confidence to participate in community decision-making.”
- Amina’s Flawed Indicator: “Number of women who attended training.”
- The Problem: Attendance counts show who showed up but reveal nothing about whether participant confidence shifted.
Combining Quantitative & Qualitative Evidence
To fix this, Amina developed a complementary set of quantitative and qualitative indicators:
|
AMINA’S REVISED INDICATOR PAIR |
|
|---|---|
|
QUANTITATIVE INDICATOR |
QUALITATIVE INDICATOR |
|
“Percentage of women reporting increased confidence in pre- and post-training surveys.” |
“Documented examples of women speaking up in community meetings they previously avoided.” |
|
INSIGHT: Neither indicator alone captures the result. Together, they demonstrate both the scale of change and what it looks like in practice. |
|
The 7 Quality Criteria for Indicators
Before finalizing any indicator in a PMF, evaluate it against seven quality criteria:
|
Valid |
Reliable |
Sensitive |
Simple |
Useful |
Affordable |
Gender-Responsive |
- Valid: Does it measure the actual result intended?
- Reliable: Will it yield consistent results across different data collectors?
- Sensitive: Will it reflect changes when progress occurs?
- Simple: Is it clear and easy to understand?
- Useful: Does it provide actionable information for management decisions?
- Affordable: Can it be collected within the project’s budget and staff capacity?
- Gender-Responsive: Does it capture gender equality dimensions, power shifts, or disaggregated data?