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FEATURES.md

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Feature Map

Dashboard (/)

Team overview — cost, activity, members at a glance.

Controls

  • Search by name/email
  • Filter by billing group
  • Time range: 24h / 3d / 7d / 14d / 30d

Stat Cards

  • Spend — total team spend, $/day average
  • Billing Cycle — day X of Y, days left, reset date
  • Anomalies — open count, red border when active
  • Active — active members count and % of team
  • Requests — total agent requests, /day average
  • Lines — total lines added, /day average

Charts

  • Daily Spend Trend — area chart with avg line, provisional zone (last 2d), spike detection
  • Model Cost Comparison — table with $/request, relative multiplier (1x–8x+), color-coded
  • Top Spenders — horizontal bar chart, top 8
  • Daily Spend by User — stacked bar, top 6 + Others, clickable legend

Members Table

  • Sortable by: spend, activity, requests, lines, $/req, context, name
  • Filterable by badge type via Badges ▾ dropdown with collapsible sections and per-badge user counts
  • Active badge filter shown as chip with ✕ dismiss next to table header
  • Columns: rank, name, email, spend, requests, lines, $/req, model, profile badges, ranks

Badges (per user, all shown)

Category Badges
Usage Power User, Deep Thinker, Balanced, Low Usage
Spend Cost Efficient, Premium Model, Over Budget
Context Long Sessions, Short Sessions
Adoption AI-Native (80%+), High Adoption (55%+), Moderate (30%+), Low Adoption (10%+), Manual Coder (<10%) — based on composite score (accept rate + engagement + consistency)

Ranks

  • Spend rank ($N) — blue
  • Activity rank (AN) — green

User Detail (/users/[email])

Per-user deep dive — KPIs, trends, tools, models, anomalies.

Header

  • Name, email, role, billing group link
  • Profile badges (same as dashboard)

KPI Cards

  • Cycle Spend — total $ in billing cycle, $/day
  • $/Req — cost per agent request
  • Agent Reqs — total requests in time range
  • Diffs Accepted — % of agent diffs accepted (accepts/applies), raw counts
  • Team Rank — spend and activity rank of N

Charts

  • Spend Trend — same area chart as dashboard, per-user
  • AI Adoption — tier label (AI-Native/High/Moderate/Low/Manual) with one-line description. Score bar (0-100). Three stat pills: diffs accepted %, requests/day, active days. Composite score from Accept Rate (40%), Engagement Intensity (40%), Consistency (20%). Tooltips on hover with raw numbers.

Sections

  • Cost Breakdown — per-model table: requests, $/req, total $, included vs overage bar, errors
  • Tools & Features — top 10 MCP tools + top 10 commands used
  • Context Efficiency — avg cache read/req, org median, vs org ratio, rank, color-coded band
  • Model Preferences — model, days used, requests
  • Daily Activity Table — date, model, requests, spend, lines +/-, accepts, tabs, version (spike rows highlighted)
  • Anomaly History — detected date, type, severity, message, status

Insights (/insights)

Team analytics — adoption, efficiency, trends.

Stat Cards

  • Avg DAU, Commands total, Agent lines accepted, Tab lines accepted, MCP tools count

Sections

  • Plan Exhaustion — users who exceeded plan, days to exhaust, buckets (1-3d, 4-7d, 8-14d, 15+d)
  • Model Rankings — biggest spenders, most/least cost efficient, full scorecard
  • DAU Chart — daily active users by type (DAU, Cloud Agent, CLI)
  • Model Adoption Share — stacked area, top 5 models over time
  • Model Usage Breakdown — table: model, messages, users, % of total
  • Top File Extensions — horizontal bar by AI lines accepted
  • Commands Adoption — top 20 commands, usage counts
  • MCP Tool Adoption — top 20 tools by server, call counts
  • Client Versions — pie chart + table with "latest" / "needs update" badges

Anomalies (/anomalies)

Incident monitoring and response tracking.

Stat Cards

  • Open Anomalies, Resolved, Open Incidents, Avg MTTD, Avg MTTI, Avg MTTR

Sections

  • Open Incidents — table with acknowledge/resolve actions
  • All Anomalies — table: date, user, type, severity, metric, message, status

Settings (/settings)

Detection thresholds, budget, billing groups.

Detection Config

  • Static thresholds (max spend/cycle, max requests/day)
  • Z-score detection (std dev multiplier, lookback window)
  • Spend trend detection (spike multiplier, lookback, cycle outlier multiplier)
  • Collection schedule (cron interval)
  • Team budget alert threshold

Billing Groups

  • Group management: create, rename, assign members
  • HiBob CSV import with change preview
  • Backup export/import