AI Productivity Measurement Software

Productivity Measurement Software With an AI Agent That Builds Your Productivity Reports

Productivity measurement software calculates how much of the working day goes into productive work. DeskTrack measures it automatically for every employee, team and department. Then Desky, its AI agent, does the analysis for you: ask a question, and it plans the work, runs it on your own data, checks the numbers and tells you what to do next.

No credit card required • Setup in 5 minutes
⭐⭐⭐⭐⭐ 4.8 Rating Global Reviews
👥 70K+ Users
🌍 20+ Countries
DeskTrack Company Productivity Measurement Dashboard
8K+

Companies registered

70K+

Users

4.8/5

146 verified reviews

ISO 27001

certified information security

Clients in the US, India, UAE, Qatar, UK and Bangladesh

More Than 8K+ Companies Worldwide Trust DeskTrack

namo-solution
hillpro
duncan-and-ross
policy-advisor
decision-point
honda
DESKY · THE DESKTRACK AI AGENT

Dashboards show numbers. DeskTrack's AI agent does the analysis.

Most productivity tools give you charts and leave the thinking to you. DeskTrack's AI agent works like an analyst on your team: it decides what to calculate, runs it on your data, checks the result, explains it and keeps doing it on a schedule.

01 · PLAN

Understands the question

Turns "how are departments trending?" into the right metrics, period and grouping.

02 · RUN

Runs its own analysis

Writes and runs the query on your DeskTrack data, and shows the table it used.

03 · CHECK

Questions the data

Excludes missing records, flags thin samples and odd values like a 4:30 AM average login.

04 · ADVISE

Explains and recommends

Plain-language findings, an action plan and the next questions worth asking.

05 · REPEAT

Works on schedule

Save any analysis and schedule it, so it lands before your Monday meeting.

Signals, not verdicts: the agent recommends a one-to-one conversation before any HR action. Decisions stay with people.

DEFINITION

What is productivity measurement software?

Productivity measurement software turns work activity into numbers you can compare: productive hours, idle time, punctuality and productivity % per person, team and department. AI productivity measurement software adds an agent that analyses those numbers for you and explains what changed and why.

Want the live view of what is happening right now? That is productivity monitoring software. Measurement is the report and the benchmark; monitoring is the live view.

Question you ask Spreadsheets & dashboards DeskTrack AI agent
Who is most productive? Manager's opinion Ranked by role, with reasons
Where does time go? Self-filled timesheets Apps & browsing sorted into work categories
Is it getting better? Export, pivot, compare Trend in seconds, by month & department
What should I do? Up to you Action plan and next questions
THE FORMULA

How is employee productivity measured in DeskTrack?

OFFICIAL DESKTRACK CALCULATION
Productive Time (Role Apps & URLs + Customer Calls + Meetings + Field Time)
÷
Scheduled Office Hours (Assigned Shift Standard)
×
100
=
Productivity %

Work away from the keyboard counts too: customer calls from the mobile app, meetings and time at client or field locations are added to productive time. Calls to your own office phone numbers are internal calls and are not counted as productive call time. Each role gets its own list of productive apps and websites, so a developer is measured on code tools and a salesperson on CRM, email and calls. A score above 100% means productive work continued beyond office hours.

A productivity score measures tracked work patterns. It is not a measure of a person's worth, effort or business output. Read trends over 4 weeks, not single days.

Real day: a developer on our team
REAL DATA · 29 SEP 2026
Productive (6 h 01 m) Idle (1 h 52 m)
Logged in 9:33 AM, out 6:34 PM · time at work 7 h 53 m
Idle time (no activity) 1 h 52 m
Productive time (apps, calls, meetings) 6 h 01 m
Scheduled office hours 8 h 30 m
70.81%
Productivity Score
Ask the agent: "Why was this day lower than her September average?" It breaks the score into idle time, apps, login time and shift, in plain language.
DEPARTMENT VIEW · REAL DATA

Why one productivity target never fits every department

We asked the agent to compare our own departments. Same company, same month, very different work patterns.

Average productivity by department, January 2026 REAL DATA · AGENT OUTPUT
Marketing
85.7%
HR & Admin
82.0%
Development
66.3%
Sales
60.2%
BPO
57.7%

5,270 employee-day records across 33 employees, January to September 2026. Department averages are not weighted by headcount.

WHAT THE AGENT CONCLUDED

Marketing is the strongest consistently measured department. Development is productive but has higher idle time. Sales and BPO have higher idle time and need context before any action: the agent asked to check whether their customer calls, meetings and field work were being captured.

DeskTrack counts customer calls, meetings and field time as productive work, so with call logging and location switched on, a salesperson is measured on the whole job, not just desk time. Every role also gets its own baseline.

METRICS

Which productivity metrics does DeskTrack measure?

Every metric is captured automatically and rolls up from employee to team, department, location and company. The agent can analyse any of them, or all of them together.

METRIC
WHAT IT MEASURES
ASK THE AGENT
Productivity %
Productive time on apps, calls, meetings and field visits ÷ scheduled office hours, by role
"Rank my team by productivity this month."
Work hours utilization
Active, working and idle hours from login to logout
"Who is over- or under-utilised?"
Idle time
Time with no activity after a set interval
"What did idle time cost us this month?"
Apps and websites
Time per app and URL, in about 30 auto categories
"Categorise browsing as work, AI, learning or entertainment."
Punctuality
Late logins and early logouts against the shift
"Who logged in late today?"
Availability and leave
Full day, half day, incomplete shifts and leave
"Show leave policy violations."
Focus sessions
Uninterrupted blocks of productive work
"What are our best focus hours?"
Biometric deviation RARE
Gap between biometric punch and computer login or logout
"How long between punch-in and first work?"
Calls and mobile time RARE
Customer calls and call duration from the Android app, counted in productive time (calls to office numbers excluded)
"Reconcile Sales idle time with call time."
AI tool adoption NEW
Time on ChatGPT, Claude and other AI tools
"What is AI adoption across the company?"
AI ADOPTION · REAL DATA

Measure how your team uses AI at work

Every company is asking whether AI tools are actually being used. DeskTrack measures it from real activity, and the agent reports it by month, tool and department.

2,722 h
AI tool time in our company, Jan–Sep 2026
82.6%
ChatGPT · 17.4% Claude
4.5×
growth in Claude use, January to July
March
peak month, 369 hours

As the agent itself notes: this measures AI-tool usage, not the quality or business value of the work produced.

Monthly AI tool hours, 2026

ChatGPT
Claude
299
Jan
304
Feb
369
Mar
301
Apr
247
May
314
Jun
333
Jul
279
Aug
276
Sep
Ask the agent: "Compare AI adoption with productivity by department."
BENCHMARKS

Set productivity benchmarks, and let the agent watch them

ATTENDANCE

Punctuality

Benchmark early and late login or logout patterns without a manual register.

SHIFTS

Availability status

Rules for half day, full day and incomplete shifts from actual working and idle hours.

FOCUS

Distractions

Time on YouTube, social media and other unproductive sites during work hours, by role.

TRANSPARENCY

Employee engagement

Employees see their own data, so they can self-assess before the review.

SECURITY

Suspicious activities

Unusual patterns in work time and assets used, with configurable alerts.

WELLBEING

Burnout risk

Scores above 100%, late nights and weekend work. Find people who need support, not only those who fall short.

AGENT · BASELINES
Suggests a directional range per role and flags days below a caution threshold.
AGENT · PRIORITY BANDS
Groups people into A to D bands using productivity, idle time, lateness and incomplete shifts.
AGENT · DATA CHECKS
Spots values that look wrong and asks you to verify before anyone acts on them.

Your first productivity report tomorrow. Your first AI analysis the same day.

Install today and set role rules in minutes. After one working day, ask the agent for your first team summary.

OUR OWN LEADERSHIP USES IT

What our managers actually ask the AI agent

These are real saved conversations from the DeskTrack AI agent in our own company. Each one replaced a report someone used to build by hand.

"Give me a one-pager for the CEO." CEO
"Build a CEO review dashboard." CEO
"What did idle time cost us this month?" FINANCE · CEO
"Show leave policy violations." HR
"Who logged in late today?" HR · TEAM LEAD
"Show availability patterns for the team." OPERATIONS
"What are the focus sessions of the development team?" TEAM LEAD
"Run an app usage analysis." IT MANAGER
"Review the development team as HR, department head and team lead." HR · HEAD
"What is AI adoption across the company?" CEO
DeskTrack AI agent running a monthly department productivity analysis
ACTS

Runs the analysis itself

Writes and runs its own query on your data, then shows the table so you can check the working.

REMEMBERS

Keeps the context

Refine the last answer ("now split by role") without pulling the data again or repeating yourself.

SCHEDULES

Works while you don't

Schedule any analysis weekly or monthly. The answer is ready before the meeting.

SHARES

Ready to send

Download tables, export the full analysis as PDF, or open the detailed view behind any number.

REPORTS

Productivity reports at every level, explained by the agent

Measure company productivity as the sum of individual work, then drill down to the department, team and person behind the number.

Productivity measurement software for small business: company productivity by month

Company productivity

Monthly, weekly and daily productivity for the whole company.

Productivity measurement software in India: department and team report

Department and team

Same metrics for every department, with over- and under-utilised teams on top.

Employee productivity trend report in DeskTrack productivity measurement tool

Employee productivity trend

Each person's week-on-week trend, visible to both manager and employee.

Real trend: one developer, January to
September 2026

REAL DATA · 198 DAYS
49.9%
Jan
53.4%
Feb
64.6%
Mar
70.5%
Apr
38.4%
May
66.1%
Jun
61.8%
Jul
74.6%
Aug
76.9%
Sep

Monthly average productivity. Name withheld, shared with the employee's consent.

+27 pts

from 49.85% in January to 76.93% in September.

WHAT THE AGENT ADVISED

Recognise the August–September recovery. Review the May dip on its own. Don't raise targets because of one strong month; watch a rolling 4-week average.

ROLE-BASED ACCESS

The right report, and the right agent, for every login

Create multiple logins with role-based access. Each person sees the dashboard their job needs, and the agent answers from that point of view.

Admin / CEO

Every report, role rules and benchmarks.

Asks: "One-pager for the board."

HR

Attendance, leave, shifts and engagement.

Asks: "Leave policy violations this month."

Manager / team lead

Their own team, live and historical.

Asks: "Coaching points for my team."

Location head

Teams at one branch, city or site.

Asks: "Compare our branch with head office."

Employee

Their own activity and timesheets, for self-assessment before the review.

Mobile, iOS & Android

Reports on the go, GPS punch-in, and call logging on Android.

Productivity measurement software for mobile: DeskTrack app report
OUR OWN DATA

One question to the agent. A full development-team review.

Our development team at Aryavrat Infotech, Jaipur: 12 people, July 2026.

68.63%
average productivity for the team
38.7–101.8%
range between individuals: the average hid a 63-point spread
5 of 12
consistently punctual; all 12 had at least one late login
0 of 12
in the top band: high output always came with an idle-time or shift issue

What the agent recommended: role-specific baselines instead of one target, a weekly team dashboard, a protected focus block, and supportive one-to-ones before any HR action. It treated low scores as signals to discuss, not verdicts.

COMPARE

Productivity measurement vs productivity monitoring vs time tracking

  Productivity measurement Productivity monitoring Time tracking
Answers How productive were we, against what benchmark? What is happening in work time right now? How many hours were worked?
Output Scores, trends, benchmark reports Live activity, apps, idle alerts Timesheets
The agent does Trend analysis, bands, action plans Daily exceptions, late logins, idle spikes Hours by person, project and client
Best for Owners, HR, appraisals Team leads, daily management Payroll, client billing
Setup

How to start measuring employee productivity in 3 steps

STEP 01
5 MINUTES

Install the DeskTrack app

Self-register and start tracking in under 5 minutes. Larger rollouts use an MSI package with Active Directory.

STEP 02
15 MINUTES

Define productive work per role

Mark the apps and websites that count as work for each role, and set shifts and benchmarks.

STEP 03
NEXT DAY

Ask the AI agent

After one working day, ask for your first team summary. After 4 weeks, schedule a monthly review.

Frequently Asked Questions

How much does it cost?

From $1.99 per user per month, or ₹99 + GST in India.

Free trial, no credit card required.

See all plans →
Software that automatically calculates how productive employees, teams and departments are, using work activity data. DeskTrack measures productive time (role-defined apps, customer calls, meetings and field time) against scheduled office hours, and Desky, its AI agent, analyses the results for you.
An AI agent does the analysis, not just the chart. Desky, DeskTrack's AI agent, understands your question, runs its own analysis on your DeskTrack data, checks the data for gaps, explains the result in plain language, suggests next steps and can repeat the work on a schedule.
In DeskTrack: productivity % = productive time ÷ scheduled office hours × 100. Productive time includes the apps and websites defined as productive for the role, customer calls (not calls to office numbers), meetings and field time at work locations. 6 h 01 m of productive time against 8 h 30 m of office hours is 70.81%.
Yes. Because the score divides by scheduled office hours, productive work beyond office hours takes it above 100%. Scores that stay high for weeks can signal overload or burnout risk.
There is no universal number because roles differ. In our own company, departments ranged from about 58% to 86% in the same month. Measure for 4 weeks, use each role's own average as the baseline, then set benchmarks. For development work, the agent uses a directional range of about 55–75%.
Yes. DeskTrack records time on AI tools such as ChatGPT and Claude, and the agent reports it by month, tool and department. It measures usage, not the quality or value of the work produced.
No. It highlights signals and possible data problems, and recommends a one-to-one conversation before any HR action. Decisions stay with managers and HR.
Yes. The Android app records calls and call duration, meetings are tracked, and GPS location records field visits. Customer calls, meetings and field visits count as productive time; calls to your own office phone numbers are treated as internal and not counted, so sales, support and field roles are measured on their whole job, not just desk time.
The gap between an employee's biometric punch and their computer login or logout. It shows time spent in the office but not yet working, which attendance systems alone cannot see.
The same way as in the office. The DeskTrack desktop app measures productive time wherever people work, and reports split office and remote days.
Measure first, then manage workloads, set clear expectations, cut the biggest distractions and give employees access to their own reports. Ask the AI agent for a 30-day plan and review 4-week trends, not single bad days.
Productivity management combines measurement, goal setting, feedback and communication to improve individual and team performance. Productivity measurement software provides the data, and an AI agent turns it into decisions faster.
DeskTrack measures time and activity. For tasks, deadlines, project timesheets and budgets, it works with TitaPro, which uses DeskTrack time as proof of work.
DeskTrack starts at $1.99 per user per month, or ₹99 per user per month + GST in India, with a 15-day free trial and no credit card.
DESKY · DESKTRACK AI AGENT

Stop building productivity reports. Ask for them.

Measure every employee, team and department, and let the AI agent do the analysis. 15-day free trial, no credit card.

Start free trial Book demo
loader