Understand Where the Week Actually Goes

Capture the hours your team actually works, approve them without a Friday scramble, and see utilization before the month closes. These time tracking prompts build the layer between the work and the invoice: entries against projects, approvals with an owner, budget burn per project, and reminders that arrive before the timesheet is late. Built for agencies, studios, and service teams who bill for their time and want the numbers to be true.
Understand Where the Week Actually Goes

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Everyone says they are flat out and I have no idea what we are all doing. Build me a time analysis app. Define categories of work as editable records, covering things like client delivery, internal meetings, admin, business development, training, rework and interruptions, and let time be recorded against a category as well as a project. Report at team and organization level rather than presenting individual league tables, since this is about understanding the pattern and not monitoring people. Show the split by category over time, meeting load specifically as hours and as a proportion, and how much time goes to rework. Add an AI agent that reviews a period and names the largest single block of recoverable time with a realistic estimate of what changing it would free up, and that warns me where a category is growing steadily. Present it as helping people get their time back rather than as a productivity crackdown. Automate a scheduled monthly analysis to me and a team-level summary shared with everyone, so the data is used openly. Two logins: a person who sees their own detail and the team aggregate, and an owner who sees the analysis.

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01 / Spark - intelligence awakens

Understand Where the Week Actually Goes

Categorize recorded time to reveal where weeks actually go, at team level, with meeting load and recoverable blocks named.

// the spark catches · intelligence awakens · the answer unfolds

Everyone feels busy and nobody knows where the time went. This categorizes recorded time so the pattern is visible, at team level rather than as individual surveillance.

What's Included

  • Time by category not just by project.
  • Team-level patterns rather than individual monitoring.
  • Meeting load made visible which is often the finding.
  • An assistant that names the largest recoverable block.

How To Use

  1. Analyze at team level. Individual surveillance destroys the data quality.
  2. Categorize consistently or nothing can be compared.
  3. Look at meeting load specifically. It is usually the biggest single block.
  4. Change one thing and measure. Changing several proves nothing.

Compare against capacity forecasting, and act on it with productivity prompts.