Measurement
The indicators and measurement processes to monitor and evaluate GM implementation and impact
Hard Problems
Problem 1
Existing gender indicators are difficult to understand and use for non-gender practitioners, and there are no universal standards.
Consequences
Sector teams do not adequately complete gender scorecards or collect gender-related data.
External partners require additional support to be able to meet and measure increasingly higher gender targets.
Problem 2
Lack of rigorous impact data is a barrier to making the case for gender mainstreaming.
Consequences
It can be hard to make the case for gender to top executives without adequate data to show the impact of GM activities.
What we heard
“Our CEO needs the proof points in the examples, because you can only run on belief for so long. What we really need to do is give him the proof points.”
“Most people don't know how to report the gender scorecard. Most people are not able to report well. It's hard for someone who doesn't know the meaning of gender to fill it out. Filling the scorecard is mandatory. Everyone must fill it out. But some of the sections are quite technical.”
“There is a lack of gender disaggregated data. We can't solve a problem we don't understand if we don't have the data that helps us inform it.”
Opportunities
for Problem 1
How might we make the experience of tracking gender impact usable and meaningful to non-gender practitioners?
This might look like
A gamified scorecard that is intuitive and delightful.
Surfacing stories of impact from implementing organizations to make indicators tangible.
for Problem 2
How might we leverage the collective’s data & knowledge base to build a case for gender mainstreaming?
This might look like…
Mechanisms for pooling together proof points across organizations.
Making the case to co-invest and co-fund an RCT on gender integration.
A cohesive and digestible storyline across the largest donors that articulates gender mainstreaming as an imperative for reaching global development goals.