The Productivity Problem Is Costing Billions

Labour productivity has stagnated for a decade, and disengagement costs the global economy $10 trillion a year. Organisations pay for software nobody uses, while managers make staffing decisions based on gut feel instead of data. The organisations that measure, improve.

20%

of employees worldwide are engaged (lowest since 2020)

Costs the global economy $10 trillion in lost productivity. ~9% of global GDP

48%

of employees say their work feels chaotic and fragmented

The same study records the average worker receiving 117 emails a day and 153 Teams messages every weekday.

131hrs

per Australian knowledge worker each year, just regaining focus

Time spent getting back on task after emails and meetings, the highest of ten countries modelled alongside the UK, against a 122 hour global average.

You Can't Improve What You Can't Measure

Managing a team means making decisions with limited visibility. Which tools are actually being used? Are people focused or constantly context-switching? Is the team sized right for the workload? ActivityPulse gives you objective data to answer these questions.

No Visibility

Managers rely on self-reporting, gut feel, and meeting attendance to gauge productivity. None of these tell you what’s actually happening during work hours.

Wasted Spend

Your organisation pays for software nobody uses. But without data, you can’t tell which ones.

Hidden Disengagement

75% of employees aren’t engaged at work, costing $211 billion annually. Without objective activity data, presenteeism and disengagement go undetected until performance reviews.

How ActivityPulse Measures Productivity

8 metrics across time analysis, engagement scoring, work patterns, and app classification combine into a daily per-user productivity score.

What You'll See

Productivity Intelligence Dashboard

Productivity scoring combines time-based analysis with input engagement metrics. Per-user daily scores with trend tracking across 9 interactive charts.

Productivity Trend

Daily scores over time with trend line

Time Breakdown

Productive, unproductive, and neutral time split

Top Users

Ranked by productivity percentage

Top Applications

By focus time, colour-coded by category

Top Domains

Browsing time classified by productivity

Engagement by App

Keystrokes per app, colour-coded

Mon 8:47 AM
Logged on. Opened Outlook and Microsoft Teams
Mon 9:02 AM
2 hours 14 min focus time in Visual Studio Code
Mon 11:16 AM
45 min browsing YouTube and Reddit (unproductive)
Mon 12:01 PM
Idle session: 52 minutes (lunch break)
Mon 12:53 PM
3 hours 20 min in Jira, Confluence, and Slack
Mon 4:13 PM
Input engagement: 4,200 keystrokes across productive apps
Mon 5:31 PM
Logged off. Total active time: 7h 22m. Score: 74%

The Investigation Timeline traces a single user’s activity across every module in chronological order. Filter by 20+ event types. Export reports as branded PDF or DOCX.

Beyond Productivity: Wellbeing Intelligence

Burnout Risk Detection

Sustained after-hours activity, weekend work, excessive screen time, and declining idle breaks. Scored daily per user with configurable thresholds and automated alerts.

Retention Risk Scoring

Combines declining productivity trends, job search browsing, resume editing, negative AI prompt sentiment, and disengagement signals into a per-user risk score.

Automated Alerts

Configure rules to alert when burnout or retention risk scores exceed thresholds. Delivered via email, Slack, or Microsoft Teams within seconds. 41 pre-built templates available.

Built for Real Workforce Decisions

Remote & Hybrid Patterns

Understand work patterns across locations. Are remote employees as engaged as in-office staff? Data replaces assumptions.

Software Licence Optimisation

See which tools are actually used and which are shelfware. Stop paying for licences nobody opens. Reclaim wasted SaaS spend.

Workforce Planning

Use real activity data to right-size teams. Identify capacity constraints before they become bottlenecks.

Onboarding & Training

Track new employee application adoption. See how quickly new hires reach productive patterns compared to established staff.