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ActivTrak for BI - Customizable ActivTrak Reports

ActivTrak Product Team
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ActivTrak for BI - Customizable ActivTrak Reports provide comprehensive workforce analytics and insights across your organization. This robust reporting tool transforms your ActivTrak data into actionable visualizations, helping you understand productivity patterns, technology usage, work habits, and team performance.

  • See productive, non-business, and screen time at a glance, with period-over-period change
  • Spot day-of-week and trend patterns in how teams work
  • Compare individuals against the team and against productivity expectations
  • Understand work habits — start/end times, workday span, and active vs. passive time
  • Build data-backed context for coaching conversations and workforce planning

 

ActivTrak for BI is available to customers with a paid ActivTrak package and the ActivConnect API (Add-on). Some reports and metrics require specific packages.

To access ActivTrak for BI - Customizable ActivTrak Reports, please refer to our platform-specific BI Template Setup Guides:

Tip: Save this report in your BI workspace for quick access and consider publishing it to your organization's BI service for broader executive visibility.

Contents

Before you get started

  1. Configure Users & Groups

    This page clarifies the difference between the people who log in to ActivTrak and are assigned Roles (App Users) and the employees whose activity is being measured (Users). Both can be assigned to Groups.

    App Users: People with login access to ActivTrak (referred to as "Consumers" in our API documentation), listed by Email and Role (Admin, PowerUser, Configurator, Viewer), and filterable by both. These accounts can access data for selected Groups.

    Users: Employees with the ActivTrak Agent installed and within data-collection scope, and filterable by both Group and User.

 

  1. Configure Work Schedules

    A Work Schedule defines your team's expected working hours, helping ActivTrak accurately measure productivity during those times. It ensures that data analysis focuses on when Users are actually supposed to be working rather than during off-hours or breaks. The time zone used to evaluate work schedules is determined by your account's Time Zone Settings.

    Averages (i.e., Hrs/Day metrics) are divided by each user's Active Days. When Work Schedules are not configured, ActivTrak applies its Default schedule — Monday–Friday, 9:00 AM–5:00 PM, so weekends stay out of scope unless a user is intentionally scheduled to work them. Activity on non-working days is still recorded — it just doesn't count toward the averages. For accounts with the HRIS Integration (Add-on), approved PTO or Time Off will also be excluded from average calculations.

How to read the report pages

Explore ActivTrak for BI - Customizable ActivTrak Reports through its specialized reports, organized by use case and each offering unique insights into different aspects of workforce productivity and behavior. Below is an overview of each page and the metrics it contains. Click any term to access its definition in the Glossary.

 

Glossary: ActivTrak for BI - Customizable ActivTrak Reports

For a deep dive into each of the terms and metrics found in ActivTrak for BI - Customizable ActivTrak Reports, check out the supporting Glossary.

Workforce Management

Environment Summary

This is your organization-wide view of organizational health — a high-level snapshot of how the environment is trending, so leaders can see what's working, what's not, and where to focus to sustain productivity. Use it to answer "how are we doing overall, and are we improving?" before drilling into specific teams or users.

Focus your attention

Customize this report using the filter options at the top:

  • Team: Choose one or more teams or business units
  • User: Select individual users to review their flagged activities
  • Day Type: Choose between workdays and weekends to identify patterns based on expected work schedules
  • Date: Select a time period to analyze (e.g., Last 6 Months)

Summary

Four headline metrics show the average daily activity across your organization: Productive Hrs/Day, Non-Business Hrs/Day, Screen Time Hrs/Day, and Offline Meeting Hrs/Day.

Each card shows the average and the % change compared to the previous period, along with the count of Active Users.

What this tells you: Read the cards as a set. Rising Productive Hrs/Day with flat or falling Non-Business Time means the team is converting more of its time into productive work.

Productivity Trend

This chart displays how Productive Hrs/Day (teal), Non-Business Hrs/Day (gray), and Offline Meeting Hrs/Day (peach) trend over time as stacked bars, with a line overlay showing Productivity Efficiency % (green). Use the By Quarter, By Month, By Week, or By Date buttons to adjust the time interval.

What this tells you: Watch the columns and the efficiency line together. If total time holds steady but the efficiency line climbs, the same hours are being spent more productively. A tall column paired with a dipping efficiency line signals "busy but not productive."

Activity Breakdown by Day

This matrix breaks down Productivity Efficiency %, Productive Hrs/Day (teal), Unproductive Hrs/Day (purple), Screen Time Hrs/Day (blue), Offline Meeting Hrs/Day (peach), and Active Hrs/Day (orange) by day of the week. Conditional shading highlights highs and lows to surface patterns at a glance.

What this tells you: Day-of-week patterns are often actionable. For example, a consistent Friday dip in Productive Hrs/Day might indicate end-of-week fatigue, or a high Offline Meeting load on Mondays might indicate planning cycles. This granular view keeps Unproductive Hrs/Day visible even though it rolls into Non-Business Time in the summary cards above.

User Summary

This report shifts the lens from the whole environment to individuals. Use it to understand a single user's work habits and compare performance within a team.

Focus your attention

Customize this report using the filter options at the top:

  • Team: Choose one or more teams or business units
  • User: Select individual users to review their flagged activities
  • Day Type: Choose between workdays and weekends to identify patterns based on expected work schedules
  • Date: Select a time period to analyze (e.g., Last 6 Months)

Work Habits

A panel of tiles summarizing the typical day:

What this tells you: Use this view to spot outliers—someone consistently starting significantly later than the team, or a colleague with unusually high or low productivity efficiency. These patterns can reveal role differences, time zone effects, or individual work styles.

Active/Passive Time Breakdown

This stacked area chart shows how a person's time is broken down:

Use the By Quarter, By Month, By Week, or By Date buttons to adjust the time interval.

What this tells you: Rising or falling trends indicate shifting work patterns. A flat line suggests consistency; sharp dips may signal vacation, illness, or a change. Look for seasonal patterns or cyclical shifts in the distribution of active vs. passive time.

User Summary Detailed View

This table displays each user's performance metrics side by side:

What this tells you: Use this to identify high and low performers at a glance and spot behavioral outliers within your team. Compare start/end times and workday spans to identify which colleagues maintain consistent schedules and where flexibility or misalignment may exist.

Schedule Adherence Report

This report measures each user's work pattern against their assigned schedule—start times, end times, and schedule alignment. Use it to identify who maintains consistent hours, spot patterns of lateness or early departure, and understand how actual work time compares to scheduled expectations across your team.

Filter settings

Customize this report using the filter options at the top:

  • Team: Choose one or more teams or business units
  • User: Select individual users to review their adherence
  • Day Type: Choose between weekdays and weekends
  • Month: Select the time period in the format Year Month
  • Week: Narrow to a specific week
  • Select Measures: Choose which metrics to display (Late Start, Early End, etc.)

Schedule Adherence table

This table displays each user's daily record, based on the selected metrics and including:

What this tells you: Look for patterns of consistent Late Start entries or Early End deviations—these often signal schedule misalignment, workload issues, or personal circumstances worth exploring. Compare Productive Time (Schedule) vs. (Non-Schedule) to understand whether people are getting their work done within scheduled windows or relying on off-hours productivity. For flexible schedules, focus on overall consistency and productivity totals rather than timing deviations.

Alarm Logs Analysis

A deep look at alarms—anomalies in activity and behavior that suggest potential false-activity incidents or unusual patterns. Use this to monitor data quality and spot behaviors needing investigation or reconfiguration.

Filter settings

  • Alarm Action: Choose which alarm types to review (e.g., Potential False Activity)
  • Team: Choose one or more teams or business units
  • User: Select individual users to review their alarm history
  • Day Type: Choose between weekdays and weekends
  • Date: Select a time period to analyze (e.g., Last 2 Months)

Alarms Breakdown by Name

This table ranks alarm types by impact, showing how many unique users triggered each alarm type (# of Users) and the total number of incidents (# of Alarms).

What this tells you: A spike in Potential False Activity may alert you to a problem—for example, gaming activity or security concerns requiring investigation and response.

Alarms Breakdown by User

This table ranks users by alarm frequency, showing # of Unique Alarm Types each person has triggered, # of Days w/ Alarms, and the total # of Alarms.

What this tells you: Users with high alarm counts over multiple days may require investigation or configuration adjustments. Compare alarm frequency to identify patterns across your team.

Alarms Trend# of Users w/ Alarms

This chart displays the Alarm Count (orange line) and # of Users w/ Alarms (yellow bars) over your selected time period. Use the By Quarter, By Month, By Week, or By Date buttons to adjust the time interval.

What this tells you: Rising trends indicate increasing alarm activity. Look for spikes that correlate with system changes, tool updates, or specific projects to understand root causes.

Alarm Logs Detail

This transactional log shows each triggered alarm, including Duration (sec), Alarm Name, Category, Application / Site, and URL. Use the Display Columns dropdown menu to show or hide specific fields.

What this tells you: Use this to investigate individual incidents, identify patterns in which applications or sites trigger alarms, and spot repeat offenders that need escalation or reconfiguration.

Technology & AI Usage

Technology Usage - Overview

An environment-wide view of which applications and websites your teams use and how much time they spend in each. Use it to understand the technology mix and to identify adoption gaps, unexpected usage patterns, or opportunities to optimize tool allocation.

Filter settings

  • Category: Choose specific categories to focus on
  • Team: Choose one or more teams or business units
  • User: Select individual users to review their tool usage
  • Day Type: Choose between weekdays and weekends
  • Date: Select a time period to analyze (e.g., Last 1 Months)

Top 10 Activity Categories by Allocation

This donut chart ranks the top 10 application/site categories as a percentage of Active Time. The top 10 categories typically account for the majority of an individual's active time—making them the highest-impact areas for reallocating time to better serve your team's purpose.

What this tells you: A spike in time spent in a single category (e.g., Chat & Messaging) may indicate a project shift, workflow change, or tool sprawl that warrants attention. Compare allocation percentages across teams to spot role-based differences or unexpected usage patterns.

Top 10 Activity Categories Breakdown

This table shows each top Category ranked by Duration Hrs/Day, Allocation %, # of Users, and % of Users. Use this to understand which tools are team-wide vs. role-specific and which categories have the highest impact on daily time.

What this tells you: Categories with high penetration but low per-user duration may indicate light adoption. Categories with low user percentages but high per-user durations may indicate role-specific tools. Look for adoption gaps where you'd expect broader usage.

Activity Categories Trend

This stacked area chart shows how time allocation (Duration Mins/Day) across categories shifts week by week. Use the By Quarter, By Month, By Week, or By Date buttons to adjust the time interval.

What this tells you: Watch for adoption curves—categories climbing or falling in usage over weeks signal adoption success or tool abandonment. Sudden shifts may correlate with project starts, tool migrations, or process changes worth investigating.

Technology Usage - Adoption

Tracks adoption velocity of specific tools or categories—are teams ramping up or stepping back? Use this to measure the success of new-tool rollouts or to identify tools losing traction.

Filter settings

  • Team: Choose one or more teams or business units
  • User: Select individual users to review their tool adoption
  • Day Type: Choose between weekdays and weekends
  • Date: Select a time period to analyze (e.g., Last 2 Months)
  • Category: Choose specific application categories to focus on
  • Application or Site: Drill into specific tools or platforms

Users with Activity during Time Range

Understand how your technology investments are utilized on an ongoing basis. This table ranks users by engagement, showing Duration Hrs/Day, Days with Activity, and Days Since Last Activity.

What this tells you: Users with consistent Days with Activity and low Days Since Last Activity show active engagement. Users with high Days Since Last Activity may have abandoned the tool—investigate whether it's due to lack of fit, training gaps, or shifting work needs.

Summary

Four key metrics provide a snapshot of tool adoption across your organization: Total Users, Active Users, Days Since Last Activity, and Active Hrs/Day.

What this tells you: Compare Active Users to Total Users to understand the breadth of use. Rising Active Hrs/Day signals momentum; falling hours may indicate waning adoption or a shift in tool priorities.

Usage Trend

This combination chart displays Duration Hrs/Day (light blue bars) and User Count (blue line) over your selected time period. Use the By Quarter, By Month, By Week, or By Date buttons to adjust the time interval.

What this tells you: A rising line with stable or growing bars shows healthy adoption momentum. A declining line signals the tool isn't sticking—investigate training, fit, or necessity. Watch for sharp drops that may correlate with tool migrations or policy changes.

Technology Usage - Top Charts

A quick visual summary of the most and least-used applications and websites across your organization, filterable by team and time period.

Filter settings

  • Team: Choose one or more teams or business units
  • User: Select individual users to review their tool usage
  • Day Type: Choose between weekdays and weekends
  • Date: Select a time period to analyze (e.g., Last 2 Months)

Top 10 Productive Categories

This donut chart ranks the application/site categories where teams spend the most time on productive work. Each slice shows the category and its percentage of Productive Time.

What this tells you: The categories dominating your productive time reveal your team's core work tools. If a critical function is underrepresented, it may indicate tool gaps or workflow inefficiencies worth addressing.

Top 10 Unproductive Categories

This donut chart shows the application/site categories that consume the most Unproductive Time (time spent on applications/sites classified as unproductive or non-business-related). This view shows where focus and time are being diverted.

What this tells you: A category taking up an unexpectedly large share may signal distraction patterns or policy gaps. Compare this to your top productive categories to understand the balance between the two.

Top Users by Duration

This table ranks individual users by Duration Hrs/Day across applications and sites, indicating who has the highest screen-time engagement.

What this tells you: Users with the highest duration may indicate power users, project load concentration, or potential overwork patterns. Compare duration across teams and roles to spot outliers or workload imbalances.

Top 10 Productive Apps/Sites

This table ranks the most-used productive tools by # of Users, Allocation %, and % Change from the previous period.

What this tells you: Applications with high user counts and stable or rising allocation are critical to your workflow. Rising trends indicate adoption momentum; declining trends may signal tool fatigue or replacement. Look for tools with high allocation but lower user counts—these may be role-specific or indicate uneven adoption.

Top 10 Unproductive Apps/Sites

This table ranks the most-visited unproductive sites and applications by # of Users, Allocation %, and % Change from the previous period.

What this tells you: Consistently high allocation to sites like YouTube or news platforms may indicate distraction hotspots. Rising trends signal increasing engagement—monitor whether this correlates with productivity dips. Tools with low user count but high allocation (like ChatGPT) may indicate concentrated use by a small group rather than team-wide adoption.

Application & Site Usage Report

A deep inventory of every application and website accessed, grouped by category, showing total usage duration and user count. Use this to understand your full technology stack, optimize licensing, support security audits, and identify underutilized or unexpected tools.

Filter settings

  • Team: Choose one or more teams or business units
  • User: Select individual users to review their application usage
  • Day Type: Choose between weekdays and weekends
  • Date: Select a time period to analyze (e.g., Last 3 Months)
  • Activity Type: Choose to focus on either applications or sites
  • Productivity Type: Filter by productivity designation (e.g., Productive, Unproductive, Undefined)
  • Category: Choose specific application categories to focus on
  • Application or Site: Drill into individual tools or websites

Usage Table

This searchable, sortable table displays every application and website accessed, displaying Application or Site, Category, Total Duration Hrs, Total Duration %, # of Users, and % of Total Users.

What this tells you: Tools with high duration but low user count may be role-specific or indicate concentrated use. Tools with high reach but low duration may be lighter-touch utilities. Look for unexpected applications or sites in your inventory—these can reveal security concerns or licensing redundancies worth addressing.

Productivity Optimization

Productivity by Location

Compare productivity metrics across remote, on-site, and hybrid work arrangements to understand whether location impacts output and how your workforce is distributed across work environments. Location is estimated based on each user's primary work location for each day. You can cross-filter by clicking on a Location, User, or Week to drill deeper into the data.

Filter settings

  • Team: Choose one or more teams or business units
  • User: Select individual users to review their location-based productivity
  • Day Type: Choose between weekdays and weekends
  • Date: Select a time period to analyze (e.g., Last 3 Months)

Productive Hrs/Day by Location

This bar chart displays Productive Hrs/Day (teal) and Offline Meeting Hrs/Day (peach) broken down by location type: Office, Remote, and Office/Remote.

What this tells you: Significant differences in productivity across location types may indicate environmental factors at play—such as setup quality, collaboration tool effectiveness, or distraction levels. Use this to evaluate whether your hybrid or remote policies are supporting productivity.

Avg. Start and End of Day by Location

This table shows work schedule patterns by Location (Office, Remote, or Office/Remote), including the Avg. Start of Day, Avg. End of Day, and Avg. Workday Span.

What this tells you: Location-based timing differences may reveal commute patterns, time zone effects, or schedule flexibility. If remote workers have significantly different schedules, it may signal flexibility benefits or coordination challenges worth exploring.

User Details

This detailed table displays each user's productivity and location breakdown, including: Location Summary, Total Productive Hrs, Productive Hrs/Day, Offline Meeting Hrs/Day, Active Days, Remote Days, Office Days, Office/Remote Days, and Utilization (Healthy, Overutilized, Underutilized).

What this tells you: Compare productive hours across users at the same location to spot outliers. Users flagged as Underutilized may need support or workload rebalancing. Cross-reference the location to understand work-flexibility patterns.

User Location Summary Breakdown

This stacked bar chart shows the composition of your workforce by Location type (Remote Only Users (navy), Office Only Users (red), Hybrid Users (purple)) over your selected time period. Use the By Quarter, By Month, By Week, or By Date buttons to track how your location distribution evolves.

What this tells you: Track whether hybrid adoption is increasing or decreasing. Shifts in location distribution may correlate with policy changes, office reopening, or project phases, all of which are worth monitoring alongside productivity metrics.

Activity Alignment - Team

Understand how your team members align with organizational productivity and core activity goals. Use this report to identify team members who are exceeding expectations, meeting targets, or need support to increase productive time or core business activities.

Filter settings

  • Team: Choose one or more teams or business units
  • User: Select individual users to review their alignment
  • Day Type: Choose between weekdays and weekends
  • Date: Select a time period to analyze (e.g., Last 3 Months)

Goal Achievement Summary

Two headline metrics provide a quick view of team-wide goal attainment: Users Achieving Productivity Goal and Users Achieving Core Activity Goal.

What this tells you: A significant gap between these two metrics may indicate that your team is productive but not spending enough time on core business activities. Use these to calibrate training or workload conversations.

Team Distribution Chart

This donut chart shows the composition of your team by performance category: Fully Aligned Users, Increase Productive Time Users, Increase Core Activity Users, Misaligned Users, and Undetermined Users.

What this tells you: A high percentage of Fully Aligned users indicates a healthy team rhythm. Growing segments such as "Increase Productive Time" or "Increase Core Activity" suggest specific coaching opportunities.

Team Distribution Trend

This stacked bar chart displays how your team's distribution across these performance categories shifts over time by week. Examine how your workers fall into the performance categories: Fully Aligned Users, Increase Productive Time Users, Increase Core Activity Users, Misaligned Users, and Undetermined Users. Use the By Quarter, By Month, By Week, or By Date buttons to adjust the time interval.

What this tells you: Watch for trends in category movement. Users migrating from "Increase Productive Time" to "Fully Aligned" signal improvement. Growing misalignment may correlate with project phases, workload spikes, or external factors, warranting investigation.

Users with Performance Opportunities

This detailed table identifies users whose productivity or core activity hours fall short of their goals. It includes Primary Group, Productive Hrs/Day, Core Activity Hrs/Day, Delta vs. Goal and Assessment.

What this tells you: Prioritize conversations with users showing large negative deltas. Red-flagged users may need workload rebalancing, training on core activities, or support in removing distractions. Track these users over time to measure improvement after interventions.

Activity Alignment - User

Compare each user's productive time and core activity engagement to identify opportunities for improvement. Use this report to understand individual work patterns, provide personalized coaching recommendations, and support users in aligning their time with role expectations.

Filter settings

  • Team: Choose one or more teams or business units
  • Day Type: Choose between weekdays and weekends
  • Date: Select a time period to analyze (e.g., Last 3 Months)
  • User: Select individual users to review their alignment

Users with Performance Opportunities

This table compares each user's productive time and core activity engagement against organizational goals. It shows: Primary Group, Productive Hrs/Day, Core Activity Hrs/Day, Delta vs. Goal, Core Activity Efficiency % and Assessment.

What this tells you: Click on a user's Assessment (Fully Aligned, Increase Productive Time, Increase Core Activity, Misaligned, Undetermined) to view personalized coaching recommendations. Users with negative productive time Delta vs. Goal need workload support or distraction reduction; users with negative core activity Delta vs. Goal need guidance shifting focus to higher-priority work.

Category Breakdown

This table shows how the selected user spends time across different application and website categories, classified as either Core (directly supporting role responsibilities) or Non-Core (supporting but secondary). It includes Category, Type, Duration Hrs/Day, and % of Total.

What this tells you: A user spending significant time in Non-Core categories while falling short on productivity goals may benefit from refocusing. Compare their category mix to team peers to spot role-based differences.

Activities to Maximize

This section lists the core business applications and tools the user should prioritize, ranked Core (Mins).

What this tells you: Core activities represent work most aligned with the user's role. If a user is underinvested in these areas while spending time on Non-Core tools, coaching should focus on reallocation and priority-setting.

Activities to Minimize

This section identifies non-core applications the user spends the most time on Non-Core (Mins).

What this tells you: These are the largest time drains outside core work. High minutes in distraction-prone tools (entertainment, tangential research) may indicate focus challenges; high time in other Non-Core tools may simply reflect supporting work or cross-functional responsibilities. Use this to calibrate coaching conversations.

Work Efficiency - Overview

A high-level snapshot of how efficiently time is being converted to productive output. Track productive hours, focus time, and session quality to understand work patterns and identify opportunities to reduce fragmentation and increase deep work.

Filter settings

  • Team: Choose one or more teams or business units
  • User: Select individual users to review their efficiency patterns
  • Day Type: Choose between weekdays and weekends
  • Date: Select a time period to analyze (e.g., Last 2 Months)

Efficiency Summary

Four headline metrics provide a snapshot of your organization's work quality: Prod. Session (Mins), Productive Hrs/Day, Focus Session (Mins), and Focus Hrs/Day.

What this tells you: Rising Productive Hrs/Day with stable or rising Focused Hrs/Day and Focus Session length signals improving efficiency. Falling focus session duration with stable productive hours indicates fragmentation—more time is productive, but it's broken into smaller, less concentrated blocks.

Efficiency Gauges

Two gauges show your organization's current efficiency performance: Productivity Efficiency % and Focus Efficiency %.

What this tells you: A high Productivity Efficiency % indicates your team is spending most of its time on productive work. A high Focus Efficiency % indicates that most productive time is concentrated and uninterrupted. Together, they reveal the quality of work output, not just quantity.

Goals and Hours Achieved

This stacked bar chart displays weekly progress toward productivity and focus goals, showing Productive Hrs/Day (teal), Focused Hrs/Day (orange), Group Productivity Goal (red), and Group Focus Goal (purple) across your selected time period. Use the By Quarter, By Month, By Week, or By Date buttons to adjust the time interval.

What this tells you: Bars consistently meeting or exceeding goal lines indicate strong team alignment. Gaps between current performance and goals reveal where support is needed. Watch for trending: are you climbing toward goals or drifting away?

Time Breakdown Trend

This combination chart displays Focused Hrs/Day (orange), Collaboration Hrs/Day (light blue), and Multitasking Hrs/Day (pink) over time, with reference lines showing team averages (Avg. Focused Hrs/Day, Avg. Collaboration Hrs/Day, and Avg. Multitasking Hrs/Day).

What this tells you: A rising Focused Hrs/Day with stable or falling Multitasking Hrs/Day indicates improving focus quality. Rising Collaboration paired with stable Focused time suggests healthy team coordination. Rising multitasking with falling focus signals increasing interruptions and context switching.

Time Breakdown Pattern - Day of Week

This table breaks down your team's time allocation by day of the week, showing Productive Hrs/Day, Focused Hrs/Day, Multitasking Hrs/Day, Collaboration Hrs/Day, and Non-Business Hrs/Day.

What this tells you: Consistent patterns across the week signal stable work rhythms. Significant Monday dips may indicate catch-up time; Friday declines are common. Midweek (Tuesday–Thursday) often shows peak productivity. Use this to calibrate expectations and identify which days are best for heads-down work vs. collaborative initiatives.

Work Efficiency - Report

A detailed, user-by-user view of work efficiency broken down by productive hours, focus quality, session patterns, and multitasking. Use this to identify individuals with strong focus and those struggling with fragmentation, and to tailor coaching or support accordingly.

Filter settings

  • Team: Choose one or more teams or business units
  • User: Select individual users to review their detailed efficiency metrics
  • Day Type: Choose between weekdays and weekends
  • Date: Select a time period to analyze (e.g., Last 3 Months)

User Efficiency Table

This detailed table ranks users by efficiency metrics, showing Productive Hrs/Day, Group Productivity Goal, Productive Hrs/Day vs. Prod. Goal, Productive Session (Mins), Focused Hrs/Day, Group Focus Goal, Focused Hrs/Day vs. Focus Goal, Focus Session (Mins), Multitasking Hrs/Day, and Collaboration Hrs/Day.

What this tells you: Users with high Productive Hrs/Day and high Focused Hrs/Day are efficiently converting time into output. Users with high Productive Hrs/Day but low Focused Hrs/Day are productive but fragmented—they're spending time on work but in short, interrupted bursts. Users with low Focus Session length and high Multitasking Hrs/Day may benefit from meeting-load review, workflow consolidation, or tooling changes to support sustained focus. Compare variance from goals to prioritize coaching opportunities.

Workload Balance - Overview

An environment-wide snapshot of utilization health—how many people are overworked, underutilized, or operating in a healthy range. Track workload distribution, break patterns, and work schedules to identify burnout risk, capacity waste, and organizational sustainability.

Filter settings

  • Team: Choose one or more teams or business units
  • User: Select individual users to review their workload balance
  • Day Type: Choose between weekdays and weekends
  • Date: Select a time period to analyze (e.g., Last 3 Months)

Utilization Summary

Three cards provide a snapshot of how your workforce is distributed across workload health categories: Overutilized Users, Healthy Users, and Underutilized Users. Both the number of users and the % of Total Users are included in each card.

What this tells you: A healthy distribution has the majority in the "Healthy" zone. Rising Overutilized Users signals burnout risk and sustainability concerns; rising Underutilized Users signal capacity waste, role mismatch, or organizational slack that could be rebalanced.

Utilization Pattern - Day of Week

This table shows how utilization categories break down by day of the week: Overutilized Users%, Healthy Users%, and Underutilized Users%. Conditional shading highlights highs and lows to surface patterns at a glance.

What this tells you: Day-of-week patterns reveal a concentration of workload. High early-week overutilization (Monday–Wednesday), paired with high late-week underutilization on Friday, suggests workload bunching and insufficient distribution. Consistent patterns across the week indicate stable (or persistently unbalanced) workload allocation.

Utilization Level Trend

This stacked bar chart displays how your workforce composition shifts across utilization categories over time, with Underutilized Users (yellow), Healthy Users (green), and Overutilized Users (red). Use the By Quarter, By Month, By Week, or By Date buttons to adjust the time interval.

What this tells you: A rising Overutilized trend is a red flag for workforce burnout and turnover risk—investigate and redistribute workload immediately. A rising Underutilized trend may indicate project completion, seasonal dips, or organizational inefficiency. Healthy users should remain the largest segment.

Breaks Summary

Two metrics provide insight into break patterns: Breaks/Day and Minutes/Break.

What this tells you: Declining breaks or shortening break duration may signal time pressure and stress.

Work Habit Summary

Three metrics provide insight into team-wide work patterns: Avg. Start of Day, Avg. End of Day, and Avg. Workday Span.

What this tells you: Lengthened workday spans, combined with earlier starts or later ends, may indicate potential overwork.

Break Trend

This combination chart displays Minutes/Break (light blue bars) and Breaks/Day (blue line) over your selected time period.

What this tells you: Declining breaks per day or shorter break durations, paired with a rising workload, may indicate stress and fatigue. Healthy breaks (4+ per day, 10+ minutes each) support focus and prevent burnout. Watch for trends correlating breaks with productivity or efficiency metrics.

Work Schedule & Break Pattern - Day of Week

This table breaks down work schedule and break patterns by day of the week, showing: Avg. Start of Day (SoD), Avg. End of Day (EoD), Avg. Workday Span, Breaks/Day, and Minutes/Break.

What this tells you: Consistent breaks across the week signal healthy work rhythms. Days with zero or minimal breaks may indicate crunch periods or critical meetings. Lengthening workday spans (later ends, earlier starts) across the week suggest cumulative fatigue. Friday patterns often show shorter workday spans and fewer breaks—monitor whether this is sustainable or signals end-of-week exhaustion.

Workload Balance - User Summary

A wellness-focused view of each user's utilization and sustainability. Track individual work habits, break patterns, and workload distribution to identify burnout risk, unsustainable schedules, and opportunities to support healthier work rhythms.

Filter settings

  • Team: Choose one or more teams or business units
  • User: Select an individual user to review their workload balance and sustainability
  • Day Type: Choose between weekdays and weekends
  • Date: Select a time period to analyze (e.g., Last 3 Months)

Work Habits

Five metrics provide a quick snapshot of an individual's work pattern and wellness indicators: Minutes/Break, Breaks/Day, Avg. Workday Span, Avg. Start of Day, and Avg. End of Day.

What this tells you: Healthy breaks, paired with a reasonable workday span and start/end times, indicate sustainable work. Declining breaks, lengthening workdays, or earlier starts and later ends are red flags for overwork. Watch for users with fewer than 2 breaks/day or breaks shorter than 5 minutes—these are burnout indicators.

Utilization Level Trend Analysis

This stacked bar chart shows how a user's workload distributes across utilization categories—Underutilized Users (yellow), Healthy Users (green), and Overutilized Users (red)—over time, measured in days. Use the By Quarter, By Month, By Week, or By Date buttons to adjust the time interval.

What this tells you: Rising overutilization is a warning sign of burnout risk—especially when paired with declining breaks or lengthening workdays. Underutilization may signal project completion, seasonal shifts, or role mismatch worth exploring in a conversation.

Break Trend Analysis

This combination chart displays Minutes/Break (light blue bars) and Breaks/Day (blue line) over your selected time period.

What this tells you: Consistent breaks at healthy levels support focus and prevent fatigue. Declining breaks or shortening break duration, especially when paired with rising workload, signals stress and sustainability concerns. Sudden drops may correlate with project crunch periods—monitor whether the pattern recovers or becomes chronic.

Utilization Level - User Summary

This detailed table ranks users by utilization health, showing: Avg. Start of Day, Avg. End of Day, Avg. Workday Span, Breaks/Day, Minutes/Break, Healthy Days %, Overutilized Days %, Underutilized Days %, and Overall Utilization (Healthy, Overutilized, or Underutilized).

What this tells you: Users flagged as Overutilized may need immediate support—this could indicate a pattern of burnout. Prioritize conversations with these users to redistribute workload, reduce meeting load, or adjust expectations. Healthy users with occasional high-workload days (15–20% Overutilized Days) are normal; persistent high percentages are concerning. Users flagged as underutilized may need workload modifications, role clarity, or support addressing underlying barriers to productivity.

Workload Balance - Daily Report

A detailed, day-by-day view of team utilization across your organization. Track individual workload patterns to identify high-workload days, spotting cycles like end-of-week fatigue, Monday recovery periods, or unsustainable stretches that need intervention.

Filter settings

  • Team: Choose one or more teams or business units
  • User: Select individual users to review their daily utilization patterns
  • Day Type: Choose between weekdays and weekends
  • Month: Select the time period in the format Year Month
  • Week: Select a specific week

Workload Balance Table

This transactional table provides a daily snapshot of each user's workload status, showing: Utilization Level (Healthy, Overutilized, or Underutilized), Start of Day, End of Day, Workday Span, # of Breaks, and Minutes/Break.

What this tells you: Scan for patterns across the team—Friday spikes in overutilization, Monday underutilization during recovery, or mid-week peaks in workload. Look for individual users with persistent overutilization, especially paired with few breaks and long workday spans. Compare workday spans and break counts across utilization levels to understand the signature of unhealthy workload (e.g., 12+ hour spans, 1–2 breaks). Single high-workload days are normal; consecutive days or patterns warrant a conversation.

Personal Insights

Your personalized dashboard of work patterns and wellness metrics. Use this to gain self-awareness about your daily rhythms, focus quality, tool usage, and workload balance—to inform goal-setting conversations with your manager and support sustainable work habits.

Filter settings

  • Team: Your team assignment (for manager reference)
  • User: Select yourself to view your personal insights
  • Day Type: Choose between weekdays and weekends
  • Date: Select a time period to analyze (e.g., Last 2 Weeks)

Productive Time Breakdown

This line chart shows how your time is broken down across Productive Hrs, Focus Hrs, Multitasking Hrs, Collaboration Hrs, and Break Hrs over your selected period. Use the By Quarter, By Month, By Week, or By Date buttons to adjust the time interval.

What this tells you: A rising focus line with stable productive time signals improving work quality. Multitasking time climbing while focus time falls suggests increasing fragmentation—conversations with your manager about meeting load or tool organization might help. Consistent break time across weeks indicates a healthy rhythm; declining breaks may signal stress or time pressure worth addressing.

Weekly Workload Trend

This table shows how your utilization is distributed across the week: Break Time %, Overutilized Days %, Healthy Days %, and Underutilized Days %.

What this tells you: Look for patterns—high overutilization early in the week followed by recovery suggests workload bunching. Consistent healthy days indicate a balanced rhythm. If one day consistently shows high utilization, it may be a meeting-heavy day.

Work Habits

This summary snapshot shows your overall utilization health and daily patterns: Overall Utilization (Healthy, Overutilized, or Underutilized), Avg. Start of Day, Avg. End of Day, Healthy Days, Overutilized Days, Underutilized Days, Breaks/Day, and Mins/Break.

What this tells you: A healthy utilization level, with good break counts and reasonable workday spans, indicates a sustainable rhythm. Overutilization flags paired with few breaks or long hours warrant a conversation about workload, meeting load, or support. Use this to ground conversations about work-life balance and sustainability.

Technology Usage

This ranked list shows which types of applications and websites you spend the most time using, with trend data: Category, Duration Hrs/Day, and % Change.

What this tells you: Rising time in core applications signals alignment with role priorities. Declining time in key tools may indicate workflow changes or skill gaps worth exploring. Spikes in non-core tools may reflect supporting work or signal distraction patterns—use this to reflect on how your tool mix serves your actual work.

Average Session Time Breakdown

This stacked bar chart displays Productive Session (Mins) and Focus Session (Mins) over time. Use the By Quarter, By Month, By Week, or By Date buttons to adjust the time interval.

What this tells you: Longer focus sessions indicate sustained, uninterrupted work. Sessions getting shorter over time suggest your days are becoming more fragmented, even if total hours stay the same. Conversations about consolidating meetings, blocking focus time, or reducing context switches can help lengthen sessions and improve work quality.

Productivity & Utilization KPI

An organization-wide, by-team scoreboard of productivity and utilization levels. Use this to see which teams are adopting healthy work habits and maintaining sustainable productivity, and which teams are running hot (overutilized, burnout risk) or cold (underutilized, capacity gaps). Compare time periods to track progress toward organizational wellness goals.

Filter settings

  • Team: Choose one or more teams or business units to compare
  • Day Type: Choose between weekdays and weekends
  • Date: Select a time period to analyze (e.g., Last 2 Months)

Productive Hrs/Day

A single headline metric showing Productive Hrs/Day, with the percent change vs. the previous period.

What this tells you: Rising productive hours signal increasing engagement or workload. Declining hours may indicate project completion, seasonal dips, or changes in efficiency. Track this alongside Healthy Users % to understand whether productivity gains are coming at the cost of burnout.

Employee Utilization

This donut chart displays the organization-wide distribution of utilization across three categories: Overutilized (red), Healthy (green), and Underutilized (yellow).

What this tells you: A healthy distribution has the majority in the healthy zone. Rising overutilization is a burnout-risk signal that requires immediate attention. Rising underutilization signals capacity waste or role alignment issues. Use this as your primary wellness metric to track organizational health over time.

Stats by Team

This detailed table provides team-level performance and utilization data, sortable by any column: Team Workload (High, Optimal, Low, or Varied), Productive Hrs/Day, Group Productivity Goal, % Goal Achieved, Overutilized Users %, Healthy Users %, and Underutilized Users %.

What this tells you: Read Team Workload against utilization levels to spot patterns that require action. A high workload with a low % Goal Achieved suggests overworked but underproductive—investigate meeting load, role clarity, or tooling friction. An optimal workload with a high % Goal Achieved is your benchmark; learn from their practices. A low workload with a high % Goal Achieved may indicate goals are set too conservatively—consider rebalancing the workload or raising targets.

Team Summary

The per-team companion to the KPI page—see each team's time breakdown, productivity trajectory, work patterns, and utilization health on one screen. Use this to compare how different teams structure their days, identify sustainability concerns, and benchmark high-performing team practices.

Filter settings

  • Team: Choose one or more teams or business units to compare
  • Day Type: Choose between weekdays and weekends
  • Date: Select a time period to analyze (e.g., Last 2 Months)

Total Time Breakdown

This funnel chart shows how your selected team's screen time converts through the productivity pipeline: Screen Time Hrs/Day, Prod. Hrs/Day, and Focus Hrs/Day.

What this tells you: This reveals the quality loss at each stage. A team spending 7.7 hours on screen but only converting 5.3 hours to productive time suggests significant non-productive activity. Of those productive hours, only 2.1 are truly focused (40%)—the rest involve multitasking or interruptions. Watch for teams where this conversion rate is exceptionally high or low compared to the average.

Productivity Trend

This line chart displays your team's Productive Hrs/Day and Focused Hrs/Day over time and set against the Group Productivity Goal and the Group Focus Goal reference lines. Use the By Quarter, By Month, By Week, or By Date buttons to adjust the time interval.

What this tells you: Teams tracking above the Group Productivity Goal are outperforming expectations. Teams consistently below may indicate underutilization, misaligned goals, or unmet support. Diverging lines (rising productive hours while focus hours fall) signal increasing fragmentation—more time is productive, but it's broken and scattered.

Team Work Pattern

This detailed table displays work habits and utilization distribution across all teams, sortable by any column: Team Workload (High, Optimal, Low, or Varied), Start of Day, End of Day, Workday Span, Breaks/Day, Minutes/Break, Overutilized Users %, Healthy Users %, and Underutilized Users %.

What this tells you: Long workday spans with few breaks, paired with overutilization, signal a risk of burnout—prioritize immediate intervention. Teams with healthy workday spans, number of breaks and utilization levels demonstrate a sustainable rhythm and are worth benchmarking. Short workday spans with underutilization suggest misaligned goals—investigate in 1:1s.

Helper Reports

Environment Health

An operational and data-quality monitoring view—track whether each user's computer is still reporting activity. Use this to identify devices that have gone offline, agents that need attention, and potential data gaps that could affect reporting accuracy.

Filter settings

  • Days Since Last Activity: Adjust the slider to focus on users whose last activity falls within a specific range (e.g., 1–3 days for recent, 15+ days for offline)
  • Computer: Filter to specific machines or device types
  • User: Filter to specific users

Overall User Health

This donut chart summarizes the overall Health Status (Healthy or Unhealthy), and the accompanying cards provide a snapshot of agent/device reporting status: Total Users, Healthy Users, and Unhealthy Users.

What this tells you: A fully green donut (100% Healthy) indicates that all Agents are actively reporting. Rising Unhealthy counts may signal offboarded employees, reimaged machines, or devices that have gone offline. If the entire organization shows Unhealthy simultaneously, suspect a source-data collection issue rather than a fleet-wide outage.

Environment Health Table

This table displays each user's reporting status at a glance: Last Activity Date, Computer, User Name, Health Status, and Days Since Last Activity.

What this tells you: Users flagged as Unhealthy or with a high Days Since Last Activity count likely have agents that have stopped reporting—they may be offboarded, their machines may be in for reimaging, or their devices are offline. Cross-reference with your HR system to confirm terminations or check with IT about device maintenance. Long stretches of inactivity (30+ days) almost always indicate either offboarding or technical issues requiring investigation.

Time Through the ActivTrak Lens

A reference map showing how ActivTrak's time metrics fit together and derive from one another. Use this page to understand the vocabulary used throughout the BI suite—learn what each metric means, how it's calculated, and how it relates to the bigger picture of how time is accounted for in your organization.

Filter settings

  • Team: Choose one or more teams or business units
  • User: Select individual users to see their metric breakdown
  • Day Type: Choose between weekdays and weekends
  • Date: Select a time period to analyze (e.g., Last 3 Months)

Averages

Four headline metrics provide a high-level snapshot of time allocation: Productive Hrs/Day, Collaboration Hrs/Day, Focused Hrs/Day, and Multitasking Hrs/Day.

Time Flow

This diagram shows how your time breaks down from the top level down to granular detail and includes the following:

What this tells you: This diagram is the key to understanding every other report in the suite. When you see a metric on another page, trace it back here to understand how it's composed. For example, if Productive Hrs/Day is high but Focused Hrs/Day is low, the diagram shows that the most productive time is spent multitasking or collaborating rather than deep work. If Non-Business Hrs/Day is rising while Productive Hrs/Day stays flat, you're converting productive time into unproductive time and undefined time.

Practical applications

Here are the most common ways leaders use ActivTrak for BI to drive real change:

Supporting coaching conversations

Use the User Summary and Schedule Adherence reports to start a grounded conversation: "I noticed you're consistently starting your day at 10:30 instead of 9:00 — is there something about the schedule that's not working, or are you working different hours now?" Data makes the conversation less personal and more collaborative.

Identifying workload imbalance

Run the Productivity & Utilization KPI report to spot teams running hot. Cross-check with Team Summary to see if the problem is hours, breaks, or uneven load distribution. Address the root cause — not just the symptom.

Measuring tool adoption

Use the Technology Usage - Adoption page to track rollout success. If a new tool adoption curve is flat after 6 weeks, investigate: Is training missing? Does the tool not solve a real problem? Are users trained but not using it because of workflow friction?

Aligning schedules to reality

Pull the Schedule Adherence Report to see which users consistently miss scheduled start times. Before assuming they're shirking, check: Are their schedules realistic for their role? Do they have commute patterns or childcare constraints? Is the work in demand for asynchronous overlap?

Improving focus and efficiency

Compare Focused Hrs/Day against Productive Hrs/Day to find teams losing focus. High Productive Hrs/Day but low Focused Hrs/Day signal interruptions and context switching. Address meeting load, instant-messaging culture, or alerting fatigue.

Spotting onboarding gaps

Monitor New Hires (use a team filter if available) in Environment Summary or Activity Alignment - Team. New hires should show increasing Productive Hrs/Day and Focused Hrs/Day as they ramp up; if they plateau below the team average after 60–90 days, they may need extra support.

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