Worktracker — Automated Time Intelligence
Internal productivity SaaS for project delivery teams. My role covered product discovery, MVP validation, requirements, prioritization and expansion of the workflow into planning, productivity benchmarks and reporting.
Delivery teams lacked reliable visibility into actual project effort and operational leakage; manual reporting made planning and accountability harder.
What I saw, and how I got to the solution.
Frame the operational gap
Mapped where effort was being lost: manual time reporting, idle periods and limited visibility into the difference between planned and actual work.
Design the MVP
Defined automated time capture with idle detection for 40+ users, then built the surrounding product workflow so teams could review, plan and report from the same system.
Expand the decision surface
Evolved the product across Projects, Project Planner, Complexity & Productivity Rates, Daily Reports, Manual Time Review and Holiday Calendar so delivery decisions could be made from operational data.
What changed or what I would validate next.
Used by 40+ users and reduced operational leakage by 8–10 hours/week. The screenshots show the broader product surface now used around project setup, planning, productivity benchmarks and daily reporting.
Inside the product
A connected operating loop.
Project setup → planning → productivity standards → time review → daily reporting → holiday/calendar inputs.
Plan
Projects, WBS, Gantt, workload and scheduling make work visible before execution.
Track
Automated time capture and manual review give teams a clearer view of actual effort.
Learn
Complexity rates and daily reporting turn activity data into planning and productivity decisions.