Validating indicators is essential to ensure thorough data collection and analysis and to maintain the high quality of your work. However, traditional approaches don’t capture the nuance and complexity of different social, economic, and cultural contexts. Here are some ideas using participatory, decolonial, intersectional, and inclusive approaches that can still enhance the relevance and effectiveness of these indicators.

Community Engagement and Consultation

The first step in a participatory approach is to engage with the community from the outset. Workshops, focus group discussions, and interviews can be effective tools for understanding the community’s views and experiences. This phase should be co-designed with communities, allowing participants to express their ideas freely about the indicators most accurately measure the issues that impact them.

Applying an Intersectional Analysis

This can help you understand how different identity markers, such as race, gender, socioeconomic status, and more, intersect to influence the issue being measured. This approach ensures that indicators do not overlook the complexities of real-life situations and provide a more nuanced understanding of impacts. You may need to weigh or combine indicators in specific ways to consider this nuance. Also, make note of these observations since they are important for your ‘Biases and Limitations’ section.

Iterative Testing and Feedback

A great way to bring a decolonial approach to indicator measurement is to rethink the feedback and testing process altogether. Often, this is done among the research team but iterative testing involves working closely with your partners, communities, and relevant groups to learn together about how well the intended data was captured. you can also use it as a chance to reflect on the data design and collection process. Actively seek out feedback, maybe from an intermediary or trusted external person to ensure the feedback is genuine, and capture all these lessons learned and best practices. This iterative process is essential to ensure the tools are accurate and culturally relevant.

Regular Training

Ensure all your team members, partners, and power holders regularly undergo training on the relevant research and data skills required to fully engage with innovative research projects. This will help build a culture of creativity and participation within your organisation and support your work. It will also ensure that data collection and analysis are not the responsibility of only one group of people!