Context Mapper

What

Tool automatically generates comprehensive context analysis, process planning inputs, and accessible participant briefing materials with visual aids by processing uploaded information (PDFs, transcripts, emails, recordings) and conducting interviews with stakeholders.

Why

Reduce organizer time and costs ↓, accelerated process delivery ↑, more comprehensive issue coverage ↑, improve participant understanding ↑, more substantive policy recommendations ↑, more effectively targeted ↑ processes.

Problem Definition

Organizers spend substantial time gathering context and background information to inform process design (remit, scope, problem) and create participant materials. This involves days of searching systems, conducting interviews, and gathering stakeholder input, then curating it in a balanced, unbiased manner - a specialized skill requiring extensive iteration. The manual process is cumbersome and diverts resources from strategic priorities.

Definition of Success

Replicate a team of consultants’ work for <$5,000 in 1 week across three implementations (by complexity, novelty, default). Process 100+ documents in 1 day with 99% accuracy, conduct stakeholder interviews with <1 hour setup, generate participant materials at any reading level in <3 hours. For a Citizens’ Assembly, save $30-50k on consultant fees, information curation, stakeholder convenings, and visual aid production. Organizations gain internal benefits from surfacing challenges, bottlenecks, and priorities.

Requirements

• Information gathering: secure file access (initially manual uploads, later API/MCP connections to SharePoint, Google Drive, Slack, email); AI interviewer for stakeholder insights (start with adaptive questionnaires, evolve to unstructured interviews); and interpretation of scanned documents and unstructured data.
• Analysis & Process Support: multi-format information categorization; and policy space mapping with levers, impacts, trade-offs.
• Challenges to address: variable document quality; stakeholder availability; bias prevention; conflicting information handling; GDPR data handling; and dependency on AI Assurance Infra.

Existing Limitations

Currently done manually by organizers who must find and distill information for participants, often consulting ‘knowledge committees.’ AI tools like Harmonica and Colectiv offer interview capabilities and many SaaS tools and models (e.g., Glean, Claude) provide organizational search, but no integrated solution combines document processing, stakeholder engagement, and participant material generation. RAG systems aren’t tailored for deliberative process needs.

Milestones

1. Support human-led processes with information analysis and resource improvements.
2. Become primary process driver with minimal human intervention.
3. Fully agentic system that designs information gathering schema and accesses files autonomously.

Starting Points

1. Study existing background information kits and strategic engagement planning documents.
2. Build on RAG systems for unstructured data analysis.
3. Leverage AI interview research from Harmonica, Colectiv, Formless, and Voicepanel.
4. Partner with deliberative practitioners for testing and feedback.