Capability · Work Patterns

See how your team
actually works.

Compass connects to real work signals — starting with read-only Google Calendar — and runs deterministic inference over aggregate, numbers-only snapshots to surface what changed in your team's working patterns and why it likely matters. Not a log viewer. An inference layer.

Book a call Demo

Aggregate-by-default. No keystroke or content monitoring. Decision-support for managers and HR — not automated scoring.

What it is

An inference layer, not another raw-event dashboard

Most workforce tools hand you a log and leave the interpretation to you. Compass takes aggregate numbers from your connected tools, runs deterministic inference across snapshots over time, and tells you what changed — and what category of cause likely explains it.

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Focus-time erosion detection

Compass tracks average uninterrupted focus-time blocks across the team's aggregate calendar signal. When that number drops week-over-week — and meeting load rises — it names the pattern plainly: "Average focus time dropped from 2h10m to 47m over 6 weeks, driven by meeting load." Not a score. A finding with a likely cause.

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Meeting overload & fragmented days

Back-to-back meetings, short gaps between blocks, late-day scheduling creep — Compass surfaces these as aggregate signals, not individual surveillance. You see the team pattern, not who specifically caused it.

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Collaboration vs. solo-focus balance

How much of the team's time is collaborative vs. heads-down? Is that ratio shifting? Compass infers the balance from aggregate calendar structure and flags when it moves outside the norm your team established over its first real data snapshots.

Signal in practice

Focus-time erosion — 6-week view

This is what Compass actually surfaces: a named trend with a measurable magnitude. The chart below shows the pattern — average uninterrupted focus-time blocks shrinking as meeting load climbs. Compass shows this as a finding, not a raw data dump.

Compass · Work Patterns — Focus time trend · Team aggregate

Avg. focus block · Week 1

2h 10m

baseline · team aggregate

Avg. focus block · Week 6

47m

↓ 64% drop over 6 weeks

Compass inference

Focus erosion driven by meeting load

deterministic · no AI guessing

Illustrative data — shows the type of signal Compass surfaces. Real values come from your team's actual calendar connections once onboarded.

Compass finding — plain language

"Average uninterrupted focus time dropped from 2h 10m to 47m over 6 weeks. The primary correlate is a 38% increase in scheduled meetings per day. This meets the focus-erosion threshold. Recommend reviewing meeting cadence — decision is yours."

Aggregate-only Deterministic inference Decision-support

How it works

Four steps from calendar to finding

01 — CONNECT

Read-only OAuth

Compass connects to Google Calendar via read-only OAuth. It reads meeting structure — duration, frequency, gaps — but never reads event titles, descriptions, or attendees beyond aggregate counts. No write access. No content access.

02 — SNAPSHOT

Numbers-only aggregates

Each periodic poll produces a snapshot of aggregate numbers: average focus-block length, meeting count per day, back-to-back ratio, collaboration hours. Individual events are immediately discarded. Only the aggregate persists.

03 — INFER

Deterministic inference

Compass compares snapshots over time using deterministic rules — no probabilistic model, no black-box scoring. When focus time drops more than the configured threshold and meeting load rises, it names the pattern. Math, not guesswork.

04 — SURFACE

Plain-language findings

Findings appear in the Compass dashboard and Report Card as plain-language summaries with the supporting numbers. No alarm, no automated action — a finding you can act on or ignore. The decision stays with you.

Compass requires at least 3 real data snapshots before surfacing a focus-erosion finding. Until that threshold is met, any displayed trend is clearly marked as illustrative (synthetic data). You will always know which type you are looking at.

Honesty

What Work Patterns is not

A lot of "workforce intelligence" tools are surveillance products with better branding. Compass is not. Here is what it explicitly does not do — and why that matters for trust.

Not surveillance

Compass does not record keystrokes, mouse activity, screen time, or any content from the apps you use. It reads structure — when meetings happen — not substance.

Not an individual productivity score

Work patterns data is aggregate-by-default. There is no per-person focus score, no individual meeting load ranking, no employee productivity index. If you cannot see it for an individual in the product, that is by design.

Not a hiring/firing signal

Compass surfaces patterns, not verdicts. It does not recommend layoffs, flag individuals for review, or feed any automated HR decision system. Work patterns data is one input among many — the manager decides what to do with it.

Not fabricated when data is sparse

Below the 3-snapshot trust threshold, Compass shows illustrative data clearly labelled as such. It will not surface a "real" focus-erosion finding until enough real snapshots exist. Transparent synthetic-vs-real is a hard rule, not a setting.

✓

Decision-support

Every finding in Compass is labelled as a signal for human review. It tells you what the data shows and what likely caused it. What you do next is your call entirely.

✓

Aggregate-by-default

Team-level signals roll up from aggregate snapshots. Individual event records are discarded after aggregation. The architecture enforces this — it is not a configuration toggle that can be accidentally turned off.

Who it helps

Three roles, one shared signal

Work patterns data is useful at every layer of the organization — each role sees what is relevant to their decisions, at the right level of aggregation.

Employee

Understand your own pattern

Employees can see their own aggregate work pattern — how their focus-time blocks trend, whether their day is increasingly fragmented — and use that as a prompt for a conversation with their manager. Private view, not shared upward as a score.

Manager

Spot team-level friction before it compounds

Managers get the team-aggregate view: focus erosion trends, meeting load distribution, collaboration-vs-solo balance. Enough to ask the right question in the next team sync — not enough to monitor individuals without consent.

HR & Leadership

Organizational health at a glance

HR and leadership see org-wide patterns across departments — where focus time is holding, where it is eroding, whether certain teams have structurally different work rhythms. Input for scheduling policy and workload design, not individual case files.

Ready to see your team's patterns?

Real signals. Real inference.

Work Patterns Intelligence is live in Compass. Connect your Google Calendar read-only and Compass starts building snapshots from day one. Findings surface once the trust threshold is met.