The invisible friction cost: why your engagement score lags six weeks behind reality
Pulse surveys are useful. But by the time the score arrives, the team has already decided whether they're staying. Here's what operational data shows you first.
The Friction Lab
What operational data tells you that surveys don't
Analysis of team friction, meeting load, context-switching costs, and the mechanics of engagement decline. Written for HR leaders and COOs who want signal, not sentiment.
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Meeting load and engagement: what the correlation data actually says
Across 12 teams in our early access cohort, we found a 0.71 correlation between meeting load index and declining engagement. Here's the methodology and what it means for HR leaders.
The real cost of context-switching on engineering teams
Context switching isn't just annoying — it carries a measurable throughput cost. We model what calendar fragmentation data tells us about deep work erosion.
The people ops AI shift: from aggregated sentiment to operational signal
AI is not coming for the HR job. It's coming for the parts of HR that produce lagging indicators and generic recommendations. What operational AI actually looks like in practice.
Handoff gaps between Product and Engineering: how to measure them before they slow your sprint
The gap between Product spec delivery and Engineering pickup is usually invisible until a sprint slips. TeamVyne maps the delay from collaboration metadata. Here's how.