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Delia Rahman

Junior Engineer · Engineering · IC2 · reports to Sven Farouk

Useful score · Week ending Jul 7
37Needs attention
vs Engineering · IC2 (n=6)

Driving value

  • —

Watch-outs

  • ▾ Tool leverage: bottom of cohort (25th pct)
  • ▾ Engagement (raw activity): bottom of cohort (16.7th pct)
Outcomes
0
docs, PRs, features, decisions
Value delivered
0.0
impact × credit
Days worked
1
no time off
Follow-through
100%
1/1 kept · 0 dropped

Projects they shaped

attributed from evidence · no self-review needed
Fix the lint config
Lead · 11% credit
shipped
Fix the broken link in docs
Contributor · 6% credit
shipped
Fix the log noise
Contributor · 5% credit
shipped
Webhook delivery pipeline
Reviewer · 30% credit
Delivery success 99.95%
Auth token refresh
Contributor · 11% credit
p99 latency −30%
Throttle per-tenant quotas
Contributor · 16% credit
in progress

Activity flow

Slack
2026-07-012026-07-01

Why this score

weighted sum of cohort percentiles
Value delivered0 pts/day · weight 45%41.7th pct → +18.8
Collaboration1 peers+threads · weight 20%33.3th pct → +6.7
Consistency0.5 0–1 · weight 15%50th pct → +7.5
Tool leverage1 tools · weight 10%25th pct → +2.5
Engagement (raw activity)1 signals/day · weight 10%16.7th pct → +1.7
Useful score37.2

Evidence vs level rubric

IC · IC2
Evidence tracks at level

Evidence broadly supports the current-level expectations.

  • Impact & scope
    Owns small features end-to-end.
    ✓Strong evidence
    • · Led “Fix the lint config” (shipped)
    • · Value delivered in the 46th percentile of their track · 0 outcomes
  • Collaboration & influence
    Works well with their team and builds shared context.
    ~Some evidence
    • · Collaboration signal in the 45th percentile of track
    • · Contributed to 6 cross-team projects
  • Execution & reliability
    Reliably delivers what they commit to.
    ○Human-assessed
    • · Too few decided commitments this period to judge
  • Direction & judgment
    Exercises good judgment on well-scoped problems.
    ✓Strong evidence
    • · Led 1 project to a result
  • Craft & quality
    Sustains high quality and a steady, dependable cadence.
    ~Some evidence
    • · Cadence in the 50th percentile of track

Evidence mapped to your imported rubric. A human makes the leveling call — this is the receipts, not the verdict. Evidence found for 4 of 5 expectations.

Follow-through

did they do what they committed to?
100%1/1 commitments kept
0% on time
  • TicketFix the typo in the error messagefrom Roman Pierce · due 2026-07-01
    Late

AI leverage & augmentation

what agents can take on · what’s above an agent
0%of observed activity is routine enough to offload to an agent
AI-assisted · 100%

Above an agent

  • ▴ Little human-differentiated output observed this period

Task-level augmentation analysis — where agents can help and where human work must be kept. Not a person-level replaceability score.

Value chains & cost

signal → meeting → doc → shipped · with a cost ledger

No reconstructed value chains in this period.

Outcomes this period

None recorded.