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Public roadmap

What has shipped and what we are building next. Updated regularly. Not a promise — a best-effort snapshot.

2026

shipped
  • Goals as the main screen — metric and project goals, milestones, the work under each goal in three columns, and a 7-day “What changed” digest
  • Contributions — a goal’s metric moves only from recorded contributions, with a source (experiment or solution) and a maturity; recorded from the UI or by an agent
  • Work that serves no goal — orphans listed on the main screen, plus coverage of work linked to goals
  • Opportunity Sandbox and per-team Solution Boards — kanban and table views, drawers, archive and restore, stage transitions with scoring gates (soft warnings and hard blocks)
  • Reusable scoring library — RICC, ICE, WSJF, and custom formula models; any gate can reference any model
  • Import debrief — paste or upload a backlog, plan or research (PDF, DOCX, TXT, MD, CSV); opportunities grouped by goal, likely duplicates, work that serves no goal, draft goals for an empty workspace
  • Dashboard — funnel, stage bottlenecks, gate health, driver load per team; activity feed and comments
  • Workspaces — several per person, invitations by email and link, owner/admin/editor/viewer roles, per-team roles, audit trail
  • MCP server — 53 tools for AI agents: goals, opportunities, solutions, experiments and their results, links, members, comments, scoring models, stages and gates; a Claude connector per workspace, personal access tokens and ready agent instructions in Settings
  • Public showcase — publish a read-only view of your goals home at a secret link
  • Security and compliance baseline — DPA, Privacy Policy, Sub-processors, Security page; EU data residency; row-level security as defence in depth

Q4 2026

next
  • Team load heatmap — who is drowning and who is idling, surfaced in the dashboard

Q1 2027

planned
  • Self-serve billing for Org
  • One-click MCP connection (OAuth) instead of personal tokens
  • Jira two-way integration — link Sorby opportunities to Jira epics; sync status both ways
  • Linear native integration
  • Hypothesis similarity search — find past experiments with similar hypotheses before you start

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