Collaborative Sensemaking

Overview

Collaborative Sensemaking transforms Condelo's Explore feature from a single-player analysis tool into a multiplayer investigation platform. Multiple users work on the same exploration simultaneously with real-time presence, shared annotations, and AI-assisted research tasks.

This is the difference between analysts working in silos and a team building shared understanding together.

The Problem

• Knowledge work is inherently collaborative, but knowledge management tools are designed for individuals
• Due diligence, incident response, and research projects require teams to synthesize findings from multiple angles simultaneously
• Teams lose context when analysts work in separate tools and manually consolidate findings
• Reasoning processes are invisible: team members see each other's conclusions but not the evidence paths that led there
• Report generation from collaborative analysis is manual and error-prone

How It Works

1. Multi-user presence — Extend Explore with real-time cursors and activity indicators showing who's investigating what
2. Shared investigation board — A canvas where users pin findings, surfaces, document excerpts, and free-form notes
3. Threaded comments — Attach discussions to any pinned item for contextual conversation
4. Connection drawing — Users or AI draw typed edges between items: supports, contradicts, depends-on, leads-to
5. Research delegation — Assign questions to AI agents or other team members with tracked progress
6. Session history — Full audit trail of who contributed what and when
7. Report generation — Export a structured report from the board contents with proper attribution

User Story

A due diligence team of 4 analysts evaluates a potential acquisition. They open a shared investigation space. Analyst A deep-dives into financial clusters, bookmarking key findings that appear on the shared board. Analyst B investigates regulatory risks — their annotations are visible in real-time. Analyst C notices a connection between A's financial finding and B's regulatory concern, draws a "depends-on" edge, and adds a comment. Analyst D assigns an AI agent: "Investigate the target company's patent portfolio." All findings accumulate on a shared board that becomes the foundation for their investment memo — generated with one click.

Complexity & Timeline

Target Clients

• Personas: Due Diligence Teams, Research Directors, Incident Response Leads, Managing Partners
• Verticals: Private Equity, Consulting, Investigative Journalism, Defense/Intelligence, Law Firms
• Pitch: "Investigate together — see what your team sees, build understanding as a group."

Revenue Potential

Converts Condelo from single-player to multiplayer, creating network effects within organizations. Natural driver for team-based pricing (per-seat within a workspace). Addresses a gap in the market — most knowledge tools are either solo (Notion, Obsidian) or collaborative but shallow (Google Docs, Miro). High retention driver: once a team's investigation workflows live in Condelo, switching costs are significant.

Feature Synergies

• Decision Journal — Team decisions made in shared spaces capture multi-perspective rationale and richer evidence trails
• Expert Fingerprinting — Surface relevant expert reasoning patterns during collaborative investigation
• Embeddable Widgets — Embed investigation board summaries in external project management tools

Risks & Open Questions

• Real-time sync infrastructure (WebSocket or Supabase Realtime) adds operational complexity
• Conflict resolution for concurrent edits on the same board items needs careful UX design
• Permission model (viewer / contributor / admin per investigation) must be intuitive without being rigid
• Canvas-style UI is a significant frontend investment — may need to scope to a simpler list-based collaboration first