Question 1

What is the effort score?

Accepted Answer

It's a transparent metric for productivity, calculated using idle time, focus ratio (time in work apps), screenshot change rate, activity intensity, and schedule adherence. It's normalized per role so designers and developers aren't penalized for still screens.

Question 2

Do I have to constantly manage the tracker?

Accepted Answer

No - our automated time tracking runs quietly in the background - capturing screen recordings, keyboard/mouse activity, and app usage.

Question 3

What makes ScreenJournal different from other employee monitoring software?

Accepted Answer

Three things set us apart: (1) Weekly AI reports instead of real-time surveillance dashboards, (2) Privacy-first design with no keystroke logging or constant screenshots, (3) Automated time tracking that focuses on patterns and insights, not micromanagement. We track productivity signals like idle detection, app focus, and activity intensity - with offline sync for hybrid teams. We're employee monitoring software that employees actually trust.

Question 4

What's included in the weekly AI report?

Accepted Answer

Every Monday you receive: team productivity averages, top performers with reasons why, biggest risks with explanations, all detected anomalies, and actionable suggestions - like adjusting screenshot intervals or optimizing focus app lists. You also get an hour-by-hour breakdown of your team's activity, all powered by our AI.

Question 5

What risk flags does the productivity coaching AI detect?

Accepted Answer

Our AI productivity tools flag potential issues, like dips in focus or overtime patterns - delivered via your weekly AI report. Our AI flags idle abuse (3+ long idle bursts per hour), static screens, context drift (>25% in non-work apps), phantom overtime, and attendance slips for team insights.

Question 6

Is ScreenJournal employee monitoring software or time tracking software?

Accepted Answer

ScreenJournal is both! We're an AI-powered employee monitoring and time tracking solution designed specifically for remote and hybrid teams. Unlike traditional time tracking software that requires manual entry, our automated time tracking runs in the background. And unlike other employee monitoring tools, we use a privacy-first approach focused on weekly AI reports, rather than live surveillance.

Question 7

How does ScreenJournal detect burnout?

Accepted Answer

Our AI analyzes work patterns to detect early signs of burnout, including excessive overtime, declining activity patterns, and schedule irregularities. When our productivity monitoring system detects these anomalies, managers receive alerts in their weekly AI report so they can provide support before burnout occurs. This focus on employee wellbeing sets us apart from traditional monitoring tools.

Question 8

When can we start using ScreenJournal?

Accepted Answer

ScreenJournal is currently in closed development. You can sign up for early access to test new AI monitoring features, provide feedback, and shape the product before full release.

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