Task-Boundary Mode How task-instance boundaries are drawn from the event stream. Applies to every Task SoP, Step SoP, and Variants view.
44%
Week 1→2 retention
Benchmark Measurement This finding is an observation that informs strategy — not a direct savings opportunity. It measures workforce behavior and AI readiness to guide where the savings-producing findings will have the greatest impact.

Description & Data Evidence

Detailed cohort analysis of gpteal adoption across the 19-day pilot. 9 of 17 analysts (53%) engaged with gpteal, generating 460 interactions across 91 cases. Adoption is highly concentrated: 2 power users account for 257/460 events (56%). Week-over-week retention was 44% — 4 of 9 Week 1 users returned in Week 2, while 5 did not. Note: gpteal-assisted cases show higher handling time and event counts than non-assisted cases, which is indicative of gpteal being applied to more complex cases rather than a speed penalty.

Self-Evaluation Scores

The platform grades each finding on four dimensions (1–5 scale). Low scores flag findings that need more data or clearer remediation before acceptance.

Overall 4/5
Actionability 3/5
Specificity 4/5
Remediation Alignment 3/5

Key Findings

  • Adoption rate: 9/17 analysts (53%)
  • Power Users (2): Analyst 01, Analyst 09 — 50+ events, 5+ active days each
  • Regular Users (3), Light Users (3), Minimal (1), Non-Adopters (8)
  • Peak adoption day: Nov 27 with 109 events from 9 users
  • Week 1→2 retention: 44% (4 retained, 5 churned, 0 new in Week 2)
  • Cohort comparison: gpteal-assisted cases avg 80 events vs 28 without — indicating use on complex cases

Daily gpteal Adoption

gpteal Usage by Analyst

Per-Analyst gpteal Adoption

Analyst Tier Events Active Days Cases Events/Day First Use Last Use
Analyst 01 Power User 187 8 28 23.4 2025-11-25 2025-12-04
Analyst 10 Regular 91 4 16 22.8 2025-11-24 2025-11-27
Analyst 09 Power User 70 8 15 8.8 2025-11-24 2025-12-04
Analyst 13 Regular 41 6 10 6.8 2025-11-25 2025-12-04
Analyst 02 Regular 31 5 9 6.2 2025-11-26 2025-12-04
Analyst 12 Light 19 5 6 3.8 2025-11-24 2025-11-28
Analyst 08 Light 9 2 3 4.5 2025-11-24 2025-11-27
Analyst 05 Light 8 1 2 8.0 2025-11-27 2025-11-27
Analyst 03 Minimal 4 1 2 4.0 2025-11-27 2025-11-27

Remediation Ideas

  • Targeted training for non-adopters using power-user workflows as templates
  • Embed gpteal prompts directly into Veeva Safety narrative sections to reduce friction
  • Create 'quick start' templates for common PV use cases (SUSAR narrative, MedDRA lookup)
  • Track retention weekly — the Week 1→2 drop-off suggests initial curiosity without workflow integration
  • Pair power users with non-adopters for peer coaching sessions