Pulse sketches / user profile
Sketch. Hardcoded fake data for one user. The activity heatmap is the GitHub-inspired surface from the cross-cutting decision; capacity signals are the multi-axis flag from team-accountability.md.
IW

Ira Winder Founder

CTO & Head of Research Leadership team irawinder@gmail.com
Open commitments →

Activity

last 13 weeks · all event types
less
more tap a square for the day's breakdown
completes recommits retires (backed) retires (unbacked) nudges sent / received lead transitions mechanism work

Reliability rollup

last 30 days
Done
17
12 async · 5 in-session
Re-committed
3
none chronic
Retire — backed
2
successor linked
Retire — unbacked
1
scope dropped
Nudge response p50
18h
org p50: 12h
✓ no chronic-recommit ✓ no chronic-retire 3 mechanisms validated · 1 disproven

Capacity signals

multi-axis · no composite score
1 of 6 axes flagged — overload threshold is 3
Above org's 90th percentile (or trend threshold) on the highlighted axis. None self-reported — every signal is computed from an existing artifact.
Areas owned criticality-weighted count
p50
p90
4 (org p50: 2)
Open commitments count of all open Tasks owed
p50
p90
14 (org p90: 12)
Active Leads BD opportunities currently owned
p50
p90
2 (org p50: 1)
Settlement velocity trailing 30d trend (drop = strain)
trend OK
threshold
−15% (ok)
Nudge response p50 median hours to settlement after nudge
p50
p90
18h (org p90: 48h)
Recommit rate (30d) share of settlements that were recommits
p50
p90
13% (org p90: 25%)

AccountabilityAreas owned

via held Roles
Research output quality
via "Head of Research" · drives KR-7, KR-12 → ROI, Brand
high →
Technology & Infrastructure
via "CTO" · drives KR-3 → AUM (operational reliability)
high →
Pulse product design
via "CTO" · drives KR-15 → Brand
med →
Org taxonomy curation
via "Head of Research" · enables every other Area
low →

Profile data composes the same view endpoints the agent reads: activity_heatmap, reliability/users/{id}, capacity_signals/users/{id}. The criterion-bundle export embeds a heatmap render for the period, so reviewers see consistency at a glance. See api-surface.md and performance-encouragement.md.