Research that shaped products used by hundreds of millions.
Six studies across federal agencies, international surveys, and public-interest data products — producing peer-reviewed evidence, operational changes, and measurable improvements in how people understand and act on complex information.
The projects below reflect selected work led or conducted by our Founder and Principal, Apoorva Joshi, Ph.D., prior to founding Stratagemma Solutions. We are proud of this work and present it transparently as evidence of the expertise, rigor, and real-world impact Stratagemma brings to every engagement. Detailed findings are available on request in accordance with partner and publisher requirements.
Six studies. Federal scale. Peer-reviewed impact.
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01
U.S. Drought Outlook Redesign
A four-arm controlled experiment testing three alternative designs of NOAA’s national drought forecast — a product that had never been user-tested. Improved user comprehension by 67% and legend interpretation accuracy by ~35%. Evidence adopted by NOAA CPC and NIDIS to update the product’s design and advance Section 508 accessibility compliance. Published in Weather, Climate, and Society (2026).
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02
National Water Prediction Service
Heuristic evaluations, user flow analysis, and interviews identifying decision-support and accessibility failures in NOAA’s new flagship hydrologic forecast platform ahead of public release. Directly contributed to the design and development of the National Water Prediction Service — including its Section 508 compliance — in collaboration with NOAA’s Office of Water Prediction and the National Water Center. Published in Hydrological Processes (2026).
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03
DAWN Agricultural Decision Support Dashboard
Co-designed and empirically tested probabilistic crop forecast visualizations for US Corn Belt farmers. Improved user accuracy from 56% to 72% on the best-performing redesign — a task that directly drives real-world agricultural decisions. Findings adopted by the DAWN team for operational implementation. Published in Environmental Research Letters (2026).
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04
NOAA Flood Inundation Maps
Heuristic evaluation of NOAA’s Flood Inundation Maps — a near real-time suite of visual flood forecast decision-support tools. Found that only 10% of users correctly identified the highest flood risk color category, and surfaced major decision-making and accessibility failures. Recommendations shared with NOAA OWP and NWC partners; findings published in peer-reviewed outlets and used to inform redesign priorities.
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05
OneHealth Message Testing
A solo-authored survey-experiment testing whether theory-driven message framing based on the interdisciplinary OneHealth model could motivate sustainable behavior adoption. Used advanced causal process modeling — path analysis, mediation, and moderation — to demonstrate direct and indirect causal links between communication choices and behavioral outcomes. Published as a solo-authored peer-reviewed paper in Journal of Risk Research (2021).
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06
Conservation Behavior Research funded by National Geographic Society
Co-Principal Investigator on a National Geographic Society–funded study examining how conservation issues are visually communicated and which factors predict donation behaviors and audience engagement with conservation campaigns. Led two international surveys and developed a validated typology for visual content analysis. Analyzed using structural equation modeling, latent variable analysis, and multigroup modeling. Presented nationally and internationally.
Organizations we have worked with
