Workforce analytics for decisions above the team level
Retention risk, capacity forecasting and organizational patterns, built from operational data.
Most workforce reporting describes the last quarter. Worktivity is built for the next one: which teams are heading for capacity trouble, where retention risk is concentrating, and which parts of the organization are structurally more efficient than the rest.
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What the analytics layer provides
Eight capabilities aimed at planning rather than at reporting on what already happened.
Productivity analytics
Trends, comparisons and drivers across the whole organization, at a resolution that survives being drilled into.
Retention risk analytics
Engagement patterns, workload trajectory and behavioral change combined into a risk indicator, so retention conversations happen before the resignation.
Predictive workforce insight
Forecasts of staffing requirements and output trends from historical patterns, which is what makes capacity planning something other than extrapolation.
Custom dashboards
Dashboards assembled per audience, because an operations lead and a CFO need the same data at completely different altitudes.
Reporting suite
Prebuilt and custom reports covering productivity, attendance, capacity and cost, exportable for board and planning packs.
Benchmarking
Comparison against internal baselines and industry reference points, which is how a number acquires meaning.
Organizational insight
Team performance, collaboration structure and where the organization chart and the actual flow of work diverge.
Data integration
Connections to HRIS, payouts and business systems, so workforce analysis is not built on one source in isolation.
What analytics changes at the top
Five decisions that get materially better with workforce data behind them.
Workforce planning with a forecast
Headcount decisions made against projected capacity rather than against last year's number plus a percentage.
Performance optimization at scale
Identifying the structural drivers of performance across the organization, rather than fixing the same problem separately in every team.
Cost control with evidence
Staffing levels, tool spend and utilization examined together, which is where most of the addressable cost turns out to be.
Retention before the exit interview
Risk indicators give you weeks of warning. Exit interviews give you an explanation after the fact.
Decisions that survive scrutiny
Executive reporting with the underlying data attached, which is what makes a workforce argument hold up in a board discussion.
What makes workforce analytics usable
Four properties that separate an analytics platform from a reporting tool.
Depth that survives drill-down
Aggregate figures are only trustworthy if you can open them. Every organizational number in Worktivity decomposes to the activity underneath it.
Forecasts, not just history
Predictive models turn the same dataset into an input for planning rather than only a record of what happened.
Built for the executive audience
Strategic dashboards designed for the level where headcount, structure and investment decisions are actually made.
Efficiency measured, not assumed
Operational efficiency metrics identify which processes are genuinely costly, as opposed to which ones people complain about most.
What analytics delivers
The three outcomes most consistently reported by analytics-led customers.
Better strategic decisions
Planning built on measured capacity and demand rather than on last year's allocation.
Lower turnover cost
Early retention signals allow intervention while it is still a conversation rather than a replacement hire.
Optimized allocation
Capacity matched to measured demand, which is where most recoverable efficiency in a knowledge organization sits.
Who uses workforce analytics
Organizations large or data-mature enough that workforce decisions carry real financial weight.
Enterprise organizations
Multi-department, multi-location workforces where the difference between good and poor allocation is measured in millions.
HR & people operations
Recruitment, retention, performance and development planning built on measured evidence rather than on survey sentiment alone.
Data-driven companies
Organizations already running on analytics get workforce data in a shape their existing planning processes can consume.
Consulting & professional services
Utilization, profitability and capacity forecasting, which between them determine most of the margin in a services business.
Technology & software companies
Engineering capacity planning and the structural drivers of delivery pace, at a level above individual sprints.
Financial services & banking
Workforce data that satisfies both operational planning and the reporting obligations that come with regulation.
Related Worktivity guides
Neighboring topics, in case you arrived here from a slightly different question.
Workforce Management Software
Attendance, scheduling, leave, compliance and payouts in a single system.
Learn moreAI Productivity Software
Machine learning applied to the activity data your team already produces.
Learn moreEmployee Activity Monitoring
App, website and input-level visibility with a searchable activity history.
Learn more
Workforce analytics questions
What leaders ask when evaluating a workforce analytics platform.
What is workforce analytics software?
Software that turns employee and operational data into analysis for planning: productivity trends, capacity forecasts, retention risk and organizational efficiency.
How is it different from productivity monitoring?
Productivity monitoring answers questions about teams and individuals now. Workforce analytics aggregates that data upward and forward, for planning decisions at organization level.
How does workforce analytics software work?
Worktivity combines its own activity and time data with connected HRIS and payouts sources, applies trend and predictive models, and presents the result as dashboards and reports.
What insights does it produce?
Productivity trends, retention risk, capacity forecasts, efficiency by team and process, cost per unit of output, and benchmark comparisons.
Can it really predict workforce needs?
It projects from measured patterns, which is more reliable than extrapolating headcount but is still a forecast. Every projection shows the data behind it so you can judge its weight.
Does it connect to our HR systems?
Yes. Worktivity integrates with HRIS, payouts and business applications so workforce analysis is not built on a single isolated source.
How much does workforce analytics software cost?
$3.99 per user per month, with a 14-day free trial. Analytics is part of the platform rather than an enterprise-only add-on.
How is the data protected?
Encrypted in transit and at rest, role-scoped access, configurable retention and GDPR-aligned operation, with aggregate-first reporting at organizational level.
Plan your workforce from measured data
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