Workforce Optimization
Using
Process
Insight
Workforce metrics without the spying.

Take A Quick Tour
Measure actual work produced, not just time on applications.
Work Smarter.
Not Harder.
Improve Workflows
Visually see workflow bottlenecks between team members and other departments. Focus on eliminating or reducing such problems.
Benchmark Work Activity
Get a baseline of output per worker, and team. Use such data to set production planning targets and to incentivize staff to higher output.
Measure quality
Measure the frequency of work that requires re-work. Incentivize staff to lower such metrics. Measure impact of re-training, new tools, and other changes to improve quality.
Find opportunities for automating work
See activities that require little to no cognitive decision making. Ones that are repetitive. Ones where data is digitally available. Next, conduct experiments with automating tools to measure the impact.
Evaluate staff based on work metrics
Rate your staff on objective measures. Metrics like output produced. Quality levels. And speed, to name a few.
Improve workload managment
Start with examining staff output capacity across the team. Then examine individual staff productivity. Next, determine overworked and underworked staff. Re-allocate work as needed.
Audit for compliance
Using Evidant’s event logs, examine staff’s actual activities down to the task level. See if they are skipping steps or doing a different process than is acceptable. Determine if duties should be further segregated or combined.
Pre-built metrics for service-delivery teams


Case Management
Cases completed/period
Case lifecycle
Work SLAs

Revenue Cycle
Active hours/day
Time-start/time-ended
Percent time productive

Loan Processing
Time between accounts
Percentage and time of re-work.
Productive work time vs. non-work time

Claims Management
Side-by-side staff comparisons
Claims processed by employee
Rejection rate on work

Advanced Analytics.
Our AI-based engine ingests all types of structured (transactional databases), non-structured (ex. logs), and meta data using “process mining” techniques to form a true digital twin of the worker.

Focus on People

Monitors Work

Examines Process

Exception Oriented

Time Based

Answers to “Why?”