Developer Productivity

Stop guessing why productivity is low.

Start seeing the complete picture.

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The Problem: You're Flying Blind on Developer Productivity

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Fragmented Analytics Across Tools

Your developers use dozens of applications daily, but your reporting only includes a few. You're making decisions with incomplete data.

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No Connection Between Work and Output

Traditional tools can't connect the dots between meetings, context switching, and coding productivity. 

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Can't Measure the Impacts of Collaboration

Unable to measure the real impact of collaboration time. Slack is great, but is it helping or hurting?

How Skan AI Gives You Complete Developer Visibility

Developer Prod 1

Unified Analytics Platform

One dashboard that shows what really affects developer performance. Stop piecing together data from multiple tools and start making decisions based on complete productivity intelligence.

What you'll get:

  • Productivity index score based on more data points than any other system
  • Easy integration with existing systems like Jira and GitHub
  • Single source of truth for all developer productivity metrics
Developer Prod 2

Complete Utilization Visibility

See the full picture of developer work across every tool and application - not just code repositories. Identify productivity blockers that span from Slack conversations to IDE usage to meeting overhead.

What you'll discover:

  • Desktop observation captures every application your developers use
  • Application usage, switching, and copy/paste behavior patterns
  • Isolated collaboration app usage vs. development work
Developer Prod 3

Behavior Pattern Recognition

Discover which work patterns actually drive productivity. Our AI connects dots others miss - like how meeting frequency impacts productivity or how context switching between tools slows delivery.

What you'll uncover:

  • Activities grouped by SDLC phases to analyze cycle times and app usage
  • High and low performing developer groups with root cause analysis
  • Observation that scales across large, geographically distributed teams

See Skan AI's Automation Explorer in Action

Real Results

When you automate high value tasks backed by real usage data, the ROI adds up fast.
37%
Faster Cycle Times
20%
Fewer Manual Errors
26%
Increase in Productivity

Explore More Automation Content

How Skan AI Works

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Step 1

Observe

We observe every application and process activity directly from agent desktops.

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Step 2

Analyze

We create a digital twin of operations using our proprietary AI to stitch together activities.

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Step 3

Identify

We identify patterns in your process and your best performers.

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Step 4

Optimize

You get insights and guidance for optimizations that can save millions. 

FAQs About Automation Explorer

How is this different from GitHub Analytics or Jira reporting?

Those tools show pieces of the puzzle but miss the complete picture. GitHub shows code metrics, Jira shows project data, but neither captures the full developer workflow. We observe desktop activity across every application including IDEs like VS Code and Cursor, collaboration tools, and specialty applications. Our AI connects patterns others miss - like how meeting frequency impacts productivity or context switching costs.

 

Won't developers revolt against being monitored?

We track workforce utilization, not performance surveillance. Data can be grouped by teams for privacy. Developers actually like it because we help remove their daily frustrations like excessive context switching and inefficient workflows.

What about data security and compliance?

We observe process flows without capturing sensitive content. Only metadata goes to our cloud while images stay local with masking for sensitive data. We work with highly regulated clients who maintain strict compliance.

How quickly can we see results?

Typical setups take 4-8 weeks from start to initial insights. No complex integrations needed. You'll start seeing productivity patterns within days of deployment.

What ROI can we expect?

Customers typically see three phases of returns: immediate visibility reveals quick wins, targeted improvements based on real data, then continuous optimization with compounding returns. We help measure and prove the financial impact of every improvement.

Can this scale across our global development teams?

Absolutely. We observe thousands of developers simultaneously across different regions and time zones. Our platform handles multiple languages and regulatory requirements.

How does this integrate with our existing tools?

We integrate with Jira, GitHub, and other platforms you already use. We don't replace them - we add the missing layer that shows how work flows between all your tools. Plus we can measure activity across collaboration tools like Slack and Zoom.

What if we already have other productivity monitoring tools?

Most tools focus on narrow metrics or require manual consolidation. APM tools like Datadog and New Relic excel at technical monitoring but provide limited developer productivity insights. Our unified analytics platform eliminates the need to piece together data from multiple fragmented dashboards, giving you complete visibility in one place.

Can you track time in collaboration tools like Slack and Teams?

Yes. We observe all collaboration activity including time in Slack, Teams, Zoom, and email. We can see when collaboration overlaps with active development work, helping you understand the impact on coding productivity.

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Skan the possibilities and ignite your business transformation with our non-intrusive, zero-integration technology that empowers organizations with data-driven business insights to maximize productivity and digital innovation.

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