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Creating new metrics to help better analyze data, given MER indicator challenges. BUT also figuring out how to bring visibility and get users to uptake those metrics/provide feedback.

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Have to think about how our analysis are helping make programmatic decisions. Sometimes efforts are made into looking visuals nice visually but what is that ultimately telling the field team on how to improve performance. Interpretation is important part of this process.

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Documentation for Data Manipulation & Analysis Reproducibility

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Documentation for Data Manipulation & Analysis Reproducibility

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Many ICPI dashboards and tools require some data manipulation to produce the respective visualizations. Therefore we should be more intentional in documenting "how to" for each product.

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Integrating additional data streams, such as financial/SIMS, (to the extent possible) into our more routine MER programmatic analysis so that program folks can readily access.

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Using animation to tell data stories

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Using population-level data alongside MER indicators to better inform programming

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Using population-level data alongside MER indicators to better inform programming

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1) school registers for AGYW
2) climate risks for children to CHIV/OVC program
3) humanitarian/migration/movement data into CoT

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1) Capacity building and standarization in qualitative data (above and beyond narratives)
2) Narratives data hard to read in Pano - RShiny is a great innovation, can we integrate RShiny app into Pano?

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Start to move towards predictive modeling to solve PEPFAR related questions using advanced R and/or Python statistical packages. Build sub-cluster of people interested in teaming up to create these types of models and encourage teamwork and mentorship (from those who have build innovative products)

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Automating routine processes such as the QC process by researching different innovative data science techniques. Example: automated clicking software for unit testing

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Integrating innovations such as the Narratives Shiny App and the YODA model within Pano or some shared repository that's more easily accessible to stakeholders.

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In PEPFAR we're really good at reporting out on MER indicators and achievement toward quarterly/annual targets. What we lack is a way of consolidating the nuance and story behind what the data is telling us. How do we capture this data, so we can have both together at the click of a button?

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Applying UX/UI Research/Design principles into our tools and dashboards to create a better user experience for all PEPFAR data users

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Applying UX/UI Research/Design principles into our tools and dashboards to create a better user experience for all PEPFAR data users