Automatic time tracking should respect privacy. ManicTime gives you control over what is tracked, when it is tracked, and what is shared.
You can also keep data on your own hardware if required.
Time tracking fails when people feel monitored rather than supported. A privacy-first approach focuses on transparency, control, and purpose. Teams should know what is tracked, why it is tracked, and how the data is used.
When privacy is respected, adoption improves and data quality gets better. People are more willing to review and tag their timelines when they feel in control.
ManicTime lets you decide what to track, when to track, and what to share with the server. You can also keep data on your own hardware if you need full control over storage.
These controls help teams meet internal policies without sacrificing the accuracy benefits of automatic tracking.
See privacy controlsSmall adjustments like these can dramatically improve trust and adoption.
If teams feel tracked for the wrong reasons, adoption will suffer. Privacy-first policies prevent that.
A simple policy can clarify expectations and reduce anxiety. Example outline:
Start with a small pilot group, document your privacy policy, and gather feedback. Adjust the settings and workflow before scaling to the full team.
Start free trialAutomatic tracking should focus on work activity, not personal behavior. The purpose is to create reliable project reports, not to monitor people. Settings should reflect that distinction clearly.
Clear boundaries reduce anxiety and make it easier for teams to engage with the tracking process.
If your team works on sensitive projects, consider limiting shared data or keeping it on local infrastructure. The goal is to satisfy reporting needs without exposing unnecessary detail.
A simple rule of thumb: share only what you would be comfortable discussing in a project review meeting.
Yes. You can generate accurate reports without exposing unnecessary details, as long as the workflow is consistent.
Share a short document that explains what is tracked, why it is tracked, and how the data is used.
Yes. The ability to choose what to track and when to track improves adoption and trust.
Not if applied thoughtfully. The key is to track enough to support reporting while avoiding unnecessary detail.
A privacy-first workflow includes regular review and reasonable retention. Encourage team members to review their timelines daily, and keep historical data only as long as it is needed for billing, planning, or compliance.
Clear retention rules make privacy expectations explicit and reduce risk.
A small pilot with clear communication reduces friction and improves long-term adoption.
Answering these questions early makes the rollout smoother and avoids policy changes later.
Privacy-first tracking is about clear purpose, transparency, and control. If you collect only what you need and explain how it is used, teams are more willing to engage with the process and the data becomes more reliable.
Review your current reporting needs, then configure tracking settings to match those needs rather than collecting everything by default.