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Spot Disengagement

Built for Teams

Spots emerging disengagement patterns (strings of half-days, silent sprints, meeting drop-offs) in MS Teams and turns them into fair, actionable plans. It rebalances workload, clarifies goals, schedules focus time, and coaches you with next-best steps — reducing guesswork while preserving trust.

Spots emerging disengagement patterns (strings of half-days, silent sprints, meeting drop-offs) in MS Teams and turns them into fair, actionable plans. It rebalances workload, clarifies goals, schedules focus time, and coaches you with next-best steps — reducing guesswork while preserving trust.

Agent Tools

Agent Tools

Agentic tasks

Overview of all the tasks the agent handles

Overview of all the tasks the agent handles

Flagged pattern (4 half-days + low activity); opened case

Completed

Re-scoped tasks and negotiated deadlines; protected focus blocks

Re-scoped tasks and negotiated deadlines; protected focus blocks

Completed

Drafted 1:1 agenda with root-cause prompts; scheduled check-in

Drafted 1:1 agenda with root-cause prompts; scheduled check-in

Completed

Run two-week cadence A/B to test improvement

Run two-week cadence A/B to test improvement

In progress

Solved problems

Benefit metrics

Benefit metrics

Early Detection

Avg.

6.5

days

+48%

Fewer Half-Days

Avg.

1.9

/week

-44%

Faster Deliveries

Avg.

2.2

days

+29%

How it works:

  • Multi-signal model: Blends calendar gaps, chat latency, task churn, and meeting behavior—inside Teams—into an explainable risk score.

  • Agentic loop: Detect → propose plan → act (reschedule, task edits, quiet hours) → review outcomes weekly.

  • Manager playbooks: Policy-aligned micro-interventions and scripts that standardize fair, unbiased responses.

  • Experimentation built-in: A/B prompts, cadence tweaks, and goal clarity tests to learn what works for this team.

  • Privacy by design: Minimal, purpose-bound data; transparent logs and opt-in signals to maintain trust.

People adoption

Avg. share using Agent

Avg. share using Agent

0%
0%
0%

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