Up 14.7% in a single year and 161% over the decade, with a median 35.7 weeks off work.
Protect Your People Before They Burn Out
ActivityPulse combines 11 burnout signals, 12 retention risk indicators, and AI sentiment analysis to surface the employees who need support, before they disengage, burn out, or resign.
Burnout Is Costing Businesses Billions
Half of employees have experienced burnout in the past year. By the time they tell you, it's too late. Sick leave, disengagement, and resignation have already begun. The organisations that detect burnout early are the ones that keep their best people.
17,600
serious workers' compensation claims for mental health conditions in Australia, 2023-24
14%
average annual employee turnover across organisations
Replacing one employee costs from one half to two times their annual salary.
1 in 2
Australians have experienced workplace burnout
Those aged 18 to 29 are experiencing the highest rates.
The Warning Signs Are in the Data
Burnout and disengagement don't happen overnight. They leave digital footprints: changing work patterns, declining engagement, after-hours activity, and increasingly negative sentiment. ActivityPulse detects these patterns automatically.
Silent Burnout
81% of the Australian workforce battles stress and burnout in silence. 74% don’t believe their organisation has a clear strategy to address it. Without data, managers can’t see it.
Preventable Resignations
52% of voluntary resignations are preventable. But only if you see the warning signs early enough: job searching, resume editing, declining engagement, and exit-focused AI prompts.
Replacement Cost
Replacing an employee typically costs from one half to two times their annual salary (Gallup). Early intervention is dramatically cheaper than replacement.
How ActivityPulse Detects Burnout
11 signals across work intensity, focus, recovery, and workload indicators scored daily per user against their own historical baseline.
Burnout Risk Intelligence
11 weighted signals tracked daily per user, each scored against the individual’s own historical baseline:
- Excessive overtime and consecutive long days
- After-hours and weekend activity patterns
- Low break frequency and declining idle time
- Activity rate decline and reduced focus time
- Meeting overload indicators
- Baseline comparison against each user’s own history
Per-user daily scoring with risk bands (Low/Moderate/High/Critical) and trend indicators. Managers see who’s at risk without needing to ask.
How ActivityPulse Predicts Resignation Risk
12 signals across job search activity, resume preparation, AI indicators, and behavioural signals with cross-signal correlation and AI sentiment analysis.
Retention Risk Intelligence
12 weighted signals with AI sentiment analysis, each independently scored based on predictive strength:
- Job site browsing: Seek, Indeed, LinkedIn Jobs, Glassdoor
- Resume activity: resume builder sites and file handling
- AI-assisted job preparation: prompts about resumes, cover letters
- LinkedIn elevated usage and recruiter communications
- Engagement decline and after-hours job activity
- AI prompt sentiment: detects work dissatisfaction and exit ideation
Cross-signal correlation multipliers escalate scores when multiple independent signals activate simultaneously. Hiring manager persona detection suppresses false positives for HR and recruitment staff.
Spot the Pattern Before It’s Too Late
Week 1
After-hours activity rises to 35% of total work time
After-hours activity rises to 35% of total work time
Week 2
Weekend logins detected on Saturday and Sunday
Weekend logins detected on Saturday and Sunday
Week 3
Idle breaks drop below baseline. Engagement score declines 15%
Idle breaks drop below baseline. Engagement score declines 15%
Week 4
Browsing Seek.com.au during lunch. LinkedIn usage spikes
Browsing Seek.com.au during lunch. LinkedIn usage spikes
Week 5
AI prompt: “write me a cover letter for a senior analyst role”
AI prompt: “write me a cover letter for a senior analyst role”
Week 6
Resume-builder.com visited. File “CV_2026_updated.docx” created
Resume-builder.com visited. File “CV_2026_updated.docx” created
Week 7
Resignation submitted
Resignation submitted
ActivityPulse would have raised a burnout alert at Week 2 and a retention risk alert at Week 4. That’s 3 weeks to have a conversation, adjust the workload, or offer a path forward.
From Data to Conversation
Intelligence is only useful when it leads to action. ActivityPulse gives managers the signals they need to have the right conversations at the right time.
Early Intervention
When a burnout score rises above “moderate”, managers can proactively check in, adjust workloads, or offer support before the employee reaches breaking point.
Retention Conversations
When retention risk signals activate, HR can initiate a career development conversation. The difference between a surprise resignation and a prepared response.
Workload Rebalancing
When the data shows consistent overtime or declining engagement across a team, leaders can redistribute work before burnout spreads.
Get Notified When Your Team Needs Attention
Alerts delivered via email, Slack, or Microsoft Teams within seconds. 41 pre-built templates include wellbeing-specific scenarios.
Burnout Threshold
Alert when burnout score exceeds your configured threshold.
Retention Risk
Alert when retention risk reaches “high” or “critical” band.
Resignation Language
Alert when a user’s AI prompts contain resignation or exit language.
After-Hours Excess
Alert when after-hours work exceeds 30% for a user
Consecutive Long Days
Alert when daily hours exceed 10 hours for 3+ consecutive days.
Automatic Holds
Alerts can trigger automatic retention holds to preserve data for follow-up.
Support Your People with Data, Not Guesswork
Automated burnout and retention risk detection. See who needs support before they disengage, burn out, or resign.
Workforce Intelligence.
The Pulse of Your Organisation.
About Us
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Ph: +61 2 6188 9610