Data driven strategy, human led implementation.
Our organization is deeply networked in the countries in which we operate, bringing a profound layer of understanding to our work, and complementing the science behind our approach.
Integrating principles from behavioral economics, sociology, psychology and marketing, we utilize the latest behavioral models to analyze and solve social development challenges.
Be it through utilizing existing literature, conducting field research or mining online data we use a data-driven approach to understand populations; whether to segment audiences, identify positive deviants or model behaviors. We assess factors such as awareness, perceptions, attitudes and beliefs. We map individual, sociologic and environmental influencers. We have the unique ability to combine these data analytic techniques with our deep knowledge of the cultural, linguistic and sociological contexts in which we work.
Strategy design and planning
Shaped by the diagnostic stage, our strategy, creative, technology and data teams collaborate to develop tailor made solutions to each unique challenge. We design strategies through high impact, efficient, co-creation workshops. We have a track-record in creating strong local ownership and capacity by bringing in key stakeholders at the early initiation stages.
Our local teams implement campaigns, large and small, by working closely with our networks of media organizations, private companies and civil society organizations. Complementing this approach, we draw on the best-in-class global technical partners in the digital, media and private sectors.
Testing and monitoring
We conduct qualitative and quantitative campaign testing to assess performance. Key indicators include content resonance, message recall and unintended effects. The results of these are used to feed back into the program design and execution.
We create models that can be replicated and scaled to achieve optimal social impact. We advise our partners on ideal methods for scaling, which locations are appropriate targets and what partnerships and infrastructure are required.
We design robust theories of change and results frameworks that form the basis of strong monitoring and evaluation mechanisms. We move beyond measuring the prevalence of behaviors to assessing the factors that cause these behaviors and investigate the influence our intervention has on these factors. Our data scientists use qualitative and quantitative data sets to inform the overall evaluation analysis.