OperionOperion
Philosophy
Core Principles
The Rare Middle
Beyond the binary
Foundations First
Infrastructure before automation
Compound Value
Systems that multiply
Build Around
Design for your constraints
The System
Modular Architecture
Swap any piece
Pairing KPIs
Measure what matters
Extraction
Capture without adding work
Total Ownership
You own everything
Systems
Knowledge Systems
What your organization knows
Data Systems
How information flows
Decision Systems
How choices get made
Process Systems
How work gets done
Learn
Foundation & Core
Layer 0
Foundation & Security
Security, config, and infrastructure
Layer 1
Data Infrastructure
Storage, pipelines, and ETL
Layer 2
Intelligence Infrastructure
Models, RAG, and prompts
Layer 3
Understanding & Analysis
Classification and scoring
Control & Optimization
Layer 4
Orchestration & Control
Routing, state, and workflow
Layer 5
Quality & Reliability
Testing, eval, and observability
Layer 6
Human Interface
HITL, approvals, and delivery
Layer 7
Optimization & Learning
Feedback loops and fine-tuning
Services
AI Assistants
Your expertise, always available
Intelligent Workflows
Automation with judgment
Data Infrastructure
Make your data actually usable
Process
Setup Phase
Research
We learn your business first
Discovery
A conversation, not a pitch
Audit
Capture reasoning, not just requirements
Proposal
Scope and investment, clearly defined
Execution Phase
Initiation
Everything locks before work begins
Fulfillment
We execute, you receive
Handoff
True ownership, not vendor dependency
About
OperionOperion

Building the nervous systems for the next generation of enterprise giants.

Systems

  • Knowledge Systems
  • Data Systems
  • Decision Systems
  • Process Systems

Services

  • AI Assistants
  • Intelligent Workflows
  • Data Infrastructure

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Back to Philosophy
Pairing KPIs

Single metrics lie.

Paired constraints tell the truth.

Single metrics can always be gamed. Paired constraints make the truth visible.

Speed
balanced
Quality
The Gaming Problem

You've seen this before. The team hits their number. The dashboard looks great. But something feels off. The number went up. Did the business actually get better?

When you optimize for one thing, something else suffers.

Speed Only

“Deliver faster!” So corners get cut. Quality drops. But the delivery numbers look great.

Growth Only

“Get more users!” So you acquire at any cost. Retention tanks, but the growth chart goes up.

Output Only

“Ship more features!” So the team burns out. Velocity looks great until people quit.

The same thing happens with AI. Vendors love single metrics.

Automation Rate Only

“We automated 80% of tickets!” But what happened to resolution quality? Customers get fast, wrong answers.

Response Speed Only

“50% faster response time!” But accuracy dropped. The AI answers quickly. Just not correctly.

Volume Handled Only

“Handles 10x the volume!” But satisfaction cratered. More throughput, worse outcomes.

The metric improves.

The system doesn't.

Paired Constraints

Every KPI has an opposing force.

The solution isn't to pick better metrics. It's to pair each metric with its natural counterbalance.

Speed

How fast things ship

Quality

How well things work

Growth

New acquisition

Retention

Keeping what you have

Output

Volume of work

Engagement

Team sustainability

For AI capability, the same principle applies. Pair each impressive metric with what it might be hiding.

Primary
Counterbalance
Automation RateWhat percentage is automated
Quality ScoreHow good the automated responses are
Response SpeedHow fast the AI responds
AccuracyHow correct the responses are
Volume HandledHow much the AI processes
Customer SatisfactionHow customers feel about outcomes
Cost ReductionHow much you're saving
Outcome QualityWhether results are actually better

When you only measure one side, you can't see the damage.

When you measure both, the truth becomes visible.

Healthy Tension

Gaming one hurts the other. Only genuine improvement helps both.

Single Metric

The gaming scenario

Measure only speed

Quality silently drops

Speed “improves” — you hit the target

But the system is worse overall

Paired Metrics

The honest scenario

Measure speed AND quality

Gaming speed drops quality — visible immediately

Only genuine improvement helps both

The system actually gets better

Paired constraints create productive tension.

The only way to win is to genuinely improve.

Fix Perspective

For existing systems, pairing exposes the gaming that's already happening. When you add the counterbalance metric, you'll see exactly where “improvement” was actually damage in disguise.

Enhance Perspective

For new AI capabilities, pairing prevents gaming from ever starting. When you design measurement with both sides visible, the AI can't optimize for looking good at the expense of being good.

What This Means

You probably already sense when something is being gamed. The numbers look good but the situation doesn't feel good. You just couldn't prove it. Or you're about to invest in something new and you want to measure it honestly from the start.

Now you can.

You see through the games

When speed goes up but quality drops, it's visible immediately. No more hiding problems in the gaps between reports.

Teams stop fighting the system

When the only way to win is to genuinely improve, people stop looking for loopholes and start solving real problems.

Progress compounds

Real improvement in both metrics builds on itself. Instead of paying down hidden debt, you're building real capability.

Fix Perspective

Start with your most suspicious KPI. The one where the number looks good but something feels off. What's the natural counterbalance? Add that measurement and watch what becomes visible.

Enhance Perspective

Start with your most impressive AI promise. Whatever the vendor is claiming. What's the natural counterbalance? Require that measurement before you invest and watch how the conversation changes.

Let's design measurement that tells the truth.

Whether you're fixing existing measurement or designing for something new.

Book a Discovery Call

Common Questions About Metric Gaming

Direct answers to what founders and CEOs ask about KPIs, gaming, and honest measurement.

You're probably seeing Goodhart's Law in action: when a measure becomes a target, it ceases to be a good measure. Your team isn't doing anything wrong. They're doing exactly what you incentivized them to do. The problem is that single metrics can always be gamed. Speed goes up by cutting corners. Growth goes up by acquiring low-quality customers. Output goes up by burning out your team. The number improves, but the system doesn't. The fix isn't better metrics. It's paired metrics. When you measure speed AND quality together, the only way to "win" is to genuinely improve. Cutting corners to hit speed tanks the quality number. Gaming becomes visible.