Community engagements are qualitative processes that make use of participants local knowledge for democratic decision-making, but often exclude participants from data analysis and dissemination. This can mean that they are left feeling that their voice is not properly represented in the final output. This paper presents a digital community engagement process, TalkFutures, that actively involves participants in the production, distributed analysis and summarization of qualitative data. The design of TalkFutures was explored through a five-week deployment with the International Federation of Red Cross and Red Crescent Societies (IFRC) as part of a consultation designed to inform future strategy. Our analysis of deployment metrics and post-deployment interviews outline how TalkFutures: (i) increased modes of participation across the qualitative workflow; (ii) reduced barriers to participation; and (iii) improved representation in the engagement processes.

WhatsApp, as the world's most popular messaging application, offers significant opportunities for improving the reach and effectiveness of engagement projects. In collaboration with the International Federation of Red Cross and Red Crescent Societies (IFRC) we designed WhatFutures, a collaborative future forecasting engagement for global youth using WhatsApp. WhatFutures was successfully deployed with 487 players across 5 countries (Kenya, Bulgaria, Finland, Australia and Hong Kong) to inform strategic change within the IFRC. Based on our analysis of the activity - including 16,100 messages, 95 multimedia artifacts, and a post-engagement survey - we present a reflection upon the design decisions underpinning WhatFutures and identify how decisions made around group structures, processes and externalization of outputs influenced engagement and data quality. We conclude with the wider implications of our findings for the design of engagements that best utilize the affordances of existing messaging applications.