The Flat-Fee Trap
You charge $2,500 for a project. It takes 40 hours. Your effective rate: $62.50/hour. You thought it would take 25 hours.
You do this project type four times per year. You're leaving $8,000 on the table annually — because you don't know how long your work actually takes.
Time tracking isn't just for hourly billing. It's how you know whether your business model is working.
What Time Tracking Reveals
True project profitability: Revenue minus (hours × your target rate) = true project margin. This calculation requires hours data.
Where your time goes: Most solopreneurs are surprised when they first track time seriously. Client work is often 40–50% of available hours. Admin, email, business development, and unbillable revision work consume the rest.
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Whether your estimates are accurate: If you quote 10 hours and deliver in 8, you're undercharging. If you quote 10 hours and deliver in 15, you're underpricing or you have a scope management problem.
Seasonal patterns: When are you busy vs. slow? Time data by month tells you where to concentrate your marketing effort.
Tools for Solopreneur Time Tracking
Toggl Track (free): Simple start/stop timer with project and client tagging. Good mobile app. The most popular free option.
Harvest (free for 1 user): Timer plus basic invoicing integration. Great if you bill by the hour for some clients.
Clockify (free): Similar to Toggl, with more reporting on the free plan.
Notion or spreadsheet: A manual log with project, hours, and date works if you're disciplined about entering daily.
Sohovi gives you a full quality report on any spreadsheet in seconds — upload your file and see exactly what needs fixing.
Building the Habit
The hardest part of time tracking is starting it. The second hardest is keeping it going.
Three habits that make it stick:
- Start the timer before you start work: Not when you remember. Before you start.
- Log at least daily: Real-time tracking is ideal. End-of-day logging from memory is acceptable. End-of-week logging is largely fiction.
- Tag by client and project from day one: The data is only useful if it's categorized. A single bucket of "all hours" tells you nothing useful.
Using the Data
Monthly review:
- Total billable hours vs. available hours: what % of your time was revenue-generating?
- Hours per project vs. estimate: were you accurate?
- Hourly rate implied by flat-fee projects: are your prices right?
Quarterly: adjust pricing on any project type where your implied hourly rate consistently falls below your target.
