OperionOperion
How It WorksScienceFor LeadersAboutEarly Access

Your team's brain is overloaded. Here's the proof.

Cognitive overload is the silent killer of engineering teams. Context switching, fragmented attention, and invisible work create patterns that traditional metrics miss. Operion detects these patterns before they become crises.

Built by Dr. Jen Anderson, behavioral neuroscientist and hands-on engineering leader. PhD research in visual perception and signal detection, combined with years of building and leading engineering organizations of 50+ as a fractional CTO and executive. She still writes code, ships features, and reviews PRs because you can't build tools for engineers if you're not one yourself.

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The Problem

Traditional metrics show WHAT teams do:

  • •Velocity
  • •Throughput
  • •Cycle time
  • •Commits
  • •PRs
  • •Deploys
  • •Tickets closed
  • •Story points

Operion shows WHY teams struggle:

  • ✓Burnout patterns before people quit
  • ✓Cognitive overload from context switching
  • ✓Invisible work that does not show up in Jira
  • ✓Collaboration breakdowns in real-time
  • ✓Risk signals from behavioral drift

The Neuroscience Gap

Traditional metrics measure outputs. Behavioral signals measure what's actually happening to your team.

Commits and PRs

What You Measure:

Velocity looks stable

What's Actually Happening

Behavioral Signal:

Late-night commits increasing 200%

Example:

Team shipping same volume but working at 11 PM instead of 9 AM

Meeting attendance

What You Measure:

All meetings happening

What's Actually Happening

Behavioral Signal:

Communication density dropping 35%

Example:

People attending meetings but not engaging in Slack or async discussions

Ticket throughput

What You Measure:

Tickets closing on schedule

What's Actually Happening

Behavioral Signal:

Work concentration increasing

Example:

60% of critical path flowing through 2 people, creating bottleneck risk

Sprint planning

What You Measure:

Scope committed and delivered

What's Actually Happening

Behavioral Signal:

Meeting fragmentation spiking

Example:

Calendar fragmented into 15-minute slots, no focus time for deep work

The gap between what you measure and what's actually happening is where burnout, attrition, and performance problems hide. Operion closes that gap.

The Solution

Makes invisible work visible

Operion uses signal detection theory and psychophysical modeling (methods from behavioral neuroscience) to detect patterns humans cannot see. It combines AI-powered analytics with a natural language dashboard builder so you can ask questions in plain English and get answers visually.

Methodology

  • •Signal Detection Theory: Statistical methods to identify meaningful patterns in behavioral data
  • •Psychophysical Modeling: Behavioral neuroscience approach to measuring perception and response to stimuli
  • •AI Dashboard Builder: Describe what you want to track in natural language, and the platform builds it

What You Get

  • ✓Statistical Methods: We identify meaningful deviations using statistical analysis: >2 standard deviations from baseline indicates significant behavioral shift.
  • ✓Leading Indicators: Operion detects leading indicators that predict problems 2-4 weeks ahead, giving you time to intervene before crises occur.

Built on Research

Founder Background

Dr. Jen Anderson spent years in behavioral neuroscience research, with a PhD dissertation on visual perception and signal detection. She then built a career leading engineering organizations as a fractional CTO and executive, managing teams of 50+ across full-time, contractor, and vendor orgs, including up to 5 direct managers. She still architects and ships code because the problems Operion solves are engineering problems, and solving them well requires staying close to the work.

Research Connection

The same principles that govern how brains detect visual patterns apply to how teams develop behavioral patterns. Signal detection theory, psychophysical modeling, and baseline deviation analysis translate directly from perception research to team behavioral analysis.

Methodology

  • •Signal Detection Theory: Statistical foundation for identifying meaningful patterns
  • •Psychophysical Modeling: Behavioral measurement and response analysis
  • •Time-series Analysis: Tracking patterns over time
  • •Baseline Establishment: Understanding what normal looks like for your team
  • •Deviation Detection: Identifying meaningful shifts from baseline
  • •Predictive Modeling: Forecasting problems before they manifest

Operion is built on research-backed methodology, not unverified metrics. We avoid making performance claims without research backing. We're transparent about limitations and ongoing research.

How It Works

1

Connect your tools

15 minutes to integrate GitHub, Jira, Slack, and Calendar

2

Operion analyzes patterns

Automatic behavioral analysis using neuroscience methods

3

Get dashboard + insights + alerts

Daily updates with actionable team health metrics

4

Make better decisions about your team

Immediately act on data-driven insights

Early Access Program

Now accepting early access applications

What You Get

  • ✓Full platform access: engineering analytics, AI KPI agent, and dashboard builder
  • ✓Direct feedback channel with the founding team
  • ✓Custom analysis for your specific org challenges
  • ✓Feature influence: your needs shape the roadmap
  • ✓Founding member pricing lock (50% off standard rate)
  • ✓Case study collaboration (if you want it)

What We're Looking For

  • • Team size: 15-100 engineers
  • • Tools: GitHub/GitLab, Jira/Linear, Slack/Teams, Calendar
  • • Commitment: Leadership engagement: You're willing to act on insights based on collected data.
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Ready to see what is really happening?

Get early access to Operion and help shape the future of team health analytics.

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