Teambridg Introduces Team Health Scores

From Dashboards to a Single Number

Teambridg has always been about giving managers and teams rich, nuanced data. But we heard a consistent piece of feedback: "I love the detail, but I'm overwhelmed. Can you just tell me if my team is healthy?"

Today, we're answering that question with Team Health Scores — a single 0-100 score for each team that combines productivity, wellbeing, and collaboration metrics into one intuitive number. It's the culmination of work we started with the wellbeing dashboard and hybrid location insights.

Think of it as a vital sign for your team. A score of 85 doesn't mean everything is perfect — it means the overall pattern is healthy. A score of 62 doesn't mean crisis — but it's a signal to investigate what's driving it down.

What Goes Into the Score

Team Health Scores are built from three dimensions, each weighted and calibrated against your team's own historical baseline:

Productivity Dimension (40%): Focus time trends, deep work block availability, meeting-to-focus ratio, and output consistency. This measures whether the team has the space and patterns needed for productive work.

Wellbeing Dimension (30%): After-hours work frequency, weekend activity, work session length distribution, and pattern volatility. This captures sustainability — a team can be productive in the short term while burning out in the long term. The wellbeing dimension catches the latter.

Collaboration Dimension (30%): Cross-team interaction frequency, response time patterns, meeting inclusivity (are all team members participating?), and communication balance (is one person a bottleneck?). This measures whether the team is functioning as a unit rather than a collection of individuals.

Machine Learning That Learns You

The most important technical decision we made was to calibrate each team's score against its own baseline, not against global benchmarks. A sales team and an engineering team have fundamentally different work patterns — comparing them against the same standard would produce meaningless scores.

Our ML model establishes a rolling baseline for each team over 12 weeks, identifying what "healthy" looks like for that specific team. Deviations from the baseline drive the score, not absolute values. This means a team that naturally works fewer hours but with high focus isn't penalized compared to a team with longer but more fragmented days.

The model also accounts for predictable cycles. If your team always has lower scores during quarter-end crunch, that becomes part of the baseline. An unexpected dip outside of normal patterns is what triggers attention.

How to Use Team Health Scores

The primary use case is executive-level organizational scanning. If you manage 10 teams, you can't deep-dive into each team's dashboard daily. But you can glance at 10 health scores in 30 seconds and immediately see which teams need attention.

Trend arrows accompany each score: improving, stable, or declining. A team at 75 and improving is in a different situation than a team at 75 and declining. The trend tells you where to focus.

Drill-down path: When a score catches your attention, click through to see which of the three dimensions is driving the change, then drill into the specific metrics within that dimension. This creates a natural investigation flow: notice → diagnose → act.

Team Health Scores are available now for all Pro and Enterprise customers. Free-tier customers can see a limited version with the productivity dimension only. We'll be extending the scoring framework with manager coaching suggestions in Q4 — stay tuned.