Step 1: Reporting on the gender impacts of the evaluated intervention

This step will help you answer some questions about how the intervention has contributed to gender equality.

Does your evaluation report include findings on the intervention’s impacts on gender equality? Did you include both the positive and negative impacts found?

If needed, you can prioritise the most crucial gender impacts identified and cross-reference additional analysis and documentation presented in annexes.

Have you integrated the gender-related findings throughout your report?

While it is sometimes valuable to present separate sections on the impacts on gender equality, consider how you can introduce the findings as you reply to the evaluation questions for each criterion.

Are you using sex-disaggregated data, gender statistics and other available data that are broken down by other characteristics to account for the findings? Are you using gender-sensitive language?

You should use gender-responsive language and sex-disaggregated data and gender statistics to report on the gender impacts. Moreover, think about how you can visualise the data in a gender-responsive manner.

If you are working with external contractors to conduct the evaluation or a supporting study, are they delivering reports that adopt a gender perspective and account for the gender equality impacts found?

Request that external contractors do so. Such requirements should be explicitly included in the terms of reference to ensure that this is achieved.

Visualising data in a gender-responsive manner

  • Gender-responsive data visualisation. As data analysis and visualisation are not gender-neutral, data may need to be presented in many ways. Even if the visualisation aims to raise awareness about inequalities, designs should still clarify differences within groups. This helps to illustrate heterogeneity and prevents stereotyping.[1] Use visualisations that highlight within-group variability (e.g. jitter plots, prediction intervals) and avoid graphs that capture the average outcomes of groups (e.g. bar charts, dot plots).
  • Rich picture (or mind map). This approach aims to visualise the intervention system, the results of the evaluation and recommended measures. Using it can help stakeholders think through how the overall system will be affected by the proposed changes, including those that relate to gender equality.[2]