A local desktop workbench where an engineering manager builds evidence-backed reviews and promotion cases against uploaded role frameworks — with AI that drafts from citations, not vibes.
Primary: a single engineering manager running reviews for their directs on Linux, Windows, or macOS.
ICs and peers participate via exported/imported forms, not by logging into the app (v1).
upload role R&R → tag people → year-round dossier
→ import self/peer bundles → writing desk (+ AI)
→ next-level / promo packet → share export → history
- Solo EM workbench — one machine, one trust domain; see TRUST_MODEL.md
- Role frameworks — upload R&R docs, structure RoleDefinitions, tag each person; current + next role text is the evaluation basis
- Templates as versioned contracts — self/peer/manager/promotion forms; pinned per cycle
- Dossier — goals, feedback, achievements, documents, optional meeting summaries
- Import-path collaboration — self/peer via bundles; no live multi-user in v1
- Writing desk — role-fit + conditional next-level gaps; ≤45 min/person target
- AI — in-app Settings keys; grounded drafts; private-tier data opt-in per class
- History — timelines and trends on the EM’s workspace
- Live IC/peer login, server-enforced peer anonymity, upward n≥3 aggregation
- Cross-manager live calibration (optional file bundles only)
- Comp matrices, stack-rank quotas, Slack DM surveillance, HRIS replacement
- Multi-tenant hosted SaaS (future track)
Encrypted local foundations → people + role frameworks + backfill → fixed-template cycle + import bundles → writing desk → single-EM calib/consistency → AI → optional integrations.
See DELIVERY.md, LOCAL_STACK.md, FEATURES.md.