Story Points Don't Equal Focus Time
The team committed to 60 story points. They delivered 38. Was it scope, skill, or focus? Story points don't tell you. Real focus-time data does.
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See Developer Productivity, Project Utilization, and Billable Hours in One Platform. Built for Modern Teams of 10 to 100,000+ Engineers. SOC 2 Type II, ISO 27001, GDPR, HIPAA on every paid plan from $7/seat/month.
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Why Engineering Visibility Is Broken in IT
Story points are estimates. Standups are summaries. Most engineering managers know less than they should about real focus patterns, capacity utilization, and burnout risk.
Sprint Capacity Is a Guess
Managers enter estimated availability. Estimates drift from real activity. Sprint forecasts miss. Backlog grows. Engineers burn out before anyone reads the signal.
Burnout Lands Without Warning
Sustained over-capacity is invisible in story-point velocity charts. The first signal is usually a resignation, not a dashboard.
Three Tools, Three Truths
Jira has the sprint board. HR has the headcount sheet. Finance has the cost-per-engineer view. None reconcile. Engineering decisions happen in retros, not in data.
Distributed Team Visibility Gap
Engineering teams span time zones, offices, and home setups. A standup does not surface real focus patterns across that distribution. Activity data does.
Cost Per Engineer Is a Quarterly Discovery
Finance closes the month. Then discovers which squads over-spent. Real-time cost intelligence is the difference between fixing a budget and explaining one.
The Numbers Behind the IT Productivity Gap
Three benchmarks that show where IT P&Ls actually break, with sources you can verify.
23%
Developer time lost
engineers report losing roughly a quarter of working hours to interruptions, meeting overhead, and tool switching per Microsoft Work Trend Index 2024
CONTEXT SWITCHING30 to 40%
At high-growth tech firms
replacement cost per engineer reaches $50,000 to $200,000 fully-loaded per LinkedIn Workforce Report and Gartner CIO survey 2024
ENGINEERING ATTRITION60%
Engineering time spent
meetings, code review, documentation, and context switching, not writing code per Stack Overflow Developer Survey 2024
NON-CODING WORK15 min
From deploy to dashboard
no historical backlog required, native HRMS integrations map automatically
SETUP TIMEHOW WE360.AI HELPS
How We360.ai Helps IT and Engineering Teams
Four workforce-analytics capabilities engineering leaders use every day.
Developer Focus Time Logging
Capture real focus time per engineer across tools, IDEs, and meeting windows. Identify deep-work patterns by squad, role, and project. Coach interruption windows without surveillance theatre. Live focus-time dashboards per engineer, per squad. Interruption pattern detection across Slack, email, and meetings.
What Engineering Challenges Does We360.ai Solve?
Five critical IT ops problems, with the We360.ai capability that resolves each.
Challenge 01
Developer focus time lost to context switching
Solution
Live focus-time analytics surface the actual breakdown so engineering managers can protect deep-work windows and rebalance meeting load.
Challenge 02
Sprint capacity drift between estimates and reality
Solution
Capacity model tied to measured focus time, not story points, with over-capacity early-warning alerts before burnout.
Challenge 03
Engineer burnout discovered after resignation
Solution
Retention Risk AI flags sustained-over-capacity patterns 3 to 4 weeks in advance, enabling proactive intervention.
Challenge 04
Fragmented data across Jira, HR, and finance systems
Solution
Unified workforce dashboard with native integrations to Razorpay, GreytHR, Keka, and Darwinbox plus SAML SSO for global stacks.
Challenge 05
Monitoring perceived as surveillance, driving engineer distrust
Solution
Consent-first dashboards, employee-visible audit logs, no keystroke logging, no off-hours capture.
Test
Test sub
Measuring ROI for a 100-Engineer Team
Four ROI levers engineering leaders unlock with workforce analytics.
1
Attrition prevention through early-warning signals
Retaining 5 additional engineers per year against 30 to 40 percent baseline attrition. Replacement cost $50,000 to $200,000 fully-loaded per Gartner.
$250K to $1M
Annual saving per 100 engineers
2
Focus time recovery through interruption pattern detection
Recovering 5 percent of focus time on a 100-engineer team returns 5 engineer-days per day of recovered capacity.
5 engineer-days/day
Recovered capacity
3
Sprint capacity accuracy lift
Sprint capacity tied to real focus time lifts commit accuracy and reduces backlog spill by 15 to 25 percentage points in the first 60 days.
15 to 25 pts
Sprint accuracy lift
4
Manager coaching time freed
Engineering managers redirect time from manual sprint health questions to 1:1 coaching. Standups shorten when the dashboard answers status.
Hours/week
Manager time recovered
A mid-sized engineering org of 100 engineers paying $7/seat/month recovers the full annual subscription within 4 to 6 weeks through attrition prevention and focus-time recovery.
Before and After We360.ai in IT
What actually changes when you switch to We360.ai across every engineering touchpoint.
Area
Before We360.ai
After We360.ai
Sprint capacity
Guessed from story-point velocity
Tied to measured focus time with over-capacity early-warning alerts
Burnout awareness
Discovered after resignation
Retention Risk AI flags sustained over-capacity 3 to 4 weeks in advance
Focus time visibility
Inferred from standups
Live focus-time analytics per engineer, per squad, per project
Engineering data
Spread across Jira, HR, payroll
Unified dashboard with one-click export to Razorpay, GreytHR, Keka, Darwinbox
Engineer trust
Monitoring feels like surveillance
Consent-first dashboards, employee-visible audit logs, no keystroke logging
What Engineering Leaders Ask About Workforce Analytics
The 8 questions CTOs, VP Engineering, and engineering managers ask on every procurement call.
What Is Engineering Productivity Software?
Engineering productivity software measures developer focus time, sprint capacity, and team utilization to ground engineering decisions in real activity data, not gut feel. Modern platforms add AI insights that surface sprint risks, burnout patterns, and capacity gaps before deliverables slip. We360.ai delivers this across multi-squad operations from $7/seat/month, with all four compliance certifications on every paid plan.
How Can Engineering Managers Track Developer Productivity Without Surveillance?
Modern engineering productivity tools measure focus-time patterns, sprint capacity, and tool usage at the squad level, not the keystroke level. We360.ai runs consent-first: engineers see their own dashboard, no keystroke logging, no off-hours capture, no camera or microphone access. The signal is patterns and capacity, not surveillance.
How Does Activity-Data-Driven Sprint Planning Differ From Story-Point Estimates?
Story points are estimates of complexity. Real focus time is a measured signal. We360.ai pairs sprint planning with measured focus time per engineer so capacity recommendations match reality. Sprint forecast accuracy typically lifts 15 to 25 percentage points in the first 60 days.
Does This Work for Engineering Teams Across In-Office, Remote, and Global Locations?
Yes. We360.ai tracks across web, desktop, mobile, and Chrome extension regardless of work location. Per-timezone configurability supports global teams. Focus-time, sprint, and capacity signals aggregate across all work modes.
Which India HRMS Systems Integrate for Engineering Payroll and Headcount?
Razorpay Payroll, GreytHR, Keka, and Darwinbox natively. Attendance and time data flow into payroll cycles. Statutory leave types built in for Indian labour law. Global stacks (Workday, BambooHR, Rippling) connect via SAML SSO.
How Does This Compare to Engineering-Only Tools Like LinearB or Jellyfish?
LinearB and Jellyfish cover DORA metrics for engineering velocity. They stop at the engineering boundary. We360.ai delivers focus-time, sprint capacity, and burnout signals plus the workforce analytics layer that operations, HR, and finance teams need, in one platform at $7/seat/month with all four compliance certifications.
What Compliance Certifications Does We360.ai Hold?
SOC 2 Type II, ISO 27001, GDPR, and HIPAA, all on every paid tier from $7/seat/month. That covers US healthcare engineering work (HIPAA), US finance and SaaS work (SOC 2 Type II), EU client work (GDPR), and enterprise IT security teams (ISO 27001).
What Happens After My Free Trial Ends?
The 7-day free trial covers the full engineering productivity feature set on the Pro+AI plan. No credit card. After 7 days you switch to paid ($7/seat/month annual, $9 monthly), continue on the free tier limited to 5 users, or stop with no charge.
Ready to Ground Engineering Decisions in Real Data?
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