Field research synthesized as it arrives. Findings update live across the team, every statement links to its source, and the bias checks run in the open. No black box.
An illustrative example, modeled on real MarketEdge work. The people are anonymized and the figures are representative, not a specific client. Section 1 of 3 · Overview · Section 2 · Section 3
One strong meeting becomes the story. A stretched team mistakes first enthusiasm for evidence, transcripts pile up unread, and six notebooks hold six different versions of the truth. Nobody can course-correct what nobody can see.
Local experts run the meetings. PartnerAI captures the full detail, in the respondent's language, tagged to the research framework as it lands. The whole team works from the same living evidence base.
The researchers who conduct the interviews review every capture. AI does not lead; it keeps up. Accuracy is checked by the people who were in the room.
Findings form as evidence accumulates, not after the fieldwork ends. Select any finding to follow the thread back to the original statements. Flags stay visible until the team resolves them.
The same evidence base rolls up into the working analysis the program reads every week: findings on the left, the numbers behind them on the right, each with its source attached.
Verified findings feed a pipeline of potential partners for the program. MarketEdge does not invest; it finds and structures the partnerships that carry the work forward, including blended finance that pairs grant funding with private capital. Each prospect is scored on how it aligns with environmental, social, economic, and community interests, plus the capacity to execute. The top three lead the ranking; move a weight and the order answers.
“This report was so fascinating, clear, and gave a great balance of substantive and process points.”— Micol Martini, WWF Secretariat