Costs the global economy $10 trillion in lost productivity. ~9% of global GDP
Understand How Your Team Actually Works
Data driven insights into application usage, focus time, idle patterns, and work habits. Make informed decisions about staffing, tools, and workflow, without guesswork.
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)
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
Application Usage
See which applications your team uses, for how long, and when. Identify the tools that drive productivity and the ones that don’t. Application names and publishers are automatically resolved from file metadata.
- Foreground focus time per app, per user, per day
- Application categories (Productive, Unproductive, Neutral) fully customisable per org
- Publisher and version metadata auto-resolved from executables
Focus Time & Input Engagement
Track foreground focus time per application. Distinguish between active work (keyboard and mouse input detected) and idle time. Understand when your team is most productive and when they’re disengaged.
- Keystroke and click counts per app (content never recorded)
- Input engagement scoring feeds into productivity metrics
- Idle session detection with configurable thresholds
Work Schedule Visibility
System events capture logon, logoff, lock, unlock, and startup times. See actual work hours without requiring employees to clock in and out. Identify after-hours activity and weekend work patterns.
- Actual start/end times derived from system events
- After-hours and weekend work flagged automatically
- Burnout risk scoring based on sustained overwork patterns
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
See the Full Picture at a Glance
Logged on. Opened Outlook and Microsoft Teams
2 hours 14 min focus time in Visual Studio Code
45 min browsing YouTube and Reddit (unproductive)
Idle session: 52 minutes (lunch break)
3 hours 20 min in Jira, Confluence, and Slack
Input engagement: 4,200 keystrokes across productive apps
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
Productivity is only half the picture. ActivityPulse includes dedicated intelligence engines for burnout risk and retention risk, giving you early warning before you lose good people.
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.
Make Workforce Decisions Based on Data
See how your team actually works. Identify disengagement early. Reclaim wasted software spend. Support your people with evidence, not assumptions.
Workforce Intelligence.
The Pulse of Your Organisation.
About Us
A product of Network 1 Media Group Pty Ltd
ABN 82 633 114 753
Ph: +61 2 6188 9610