Metric Hygiene: Cleaning Up Your KPI Stack

Over time, every organization accumulates metrics like junk in a garage.

You start tracking something useful. Six months later, it becomes outdated. But you keep tracking it anyway.

One day you look up and you're tracking 200 metrics. Nobody knows which ones matter.

This is lack of metric hygiene.

Identifying Vanity Metrics

Vanity metrics look good but don't actually tell you if your business is healthy.

Examples:

• Total signups (impressive number, but many don't use the product)
• Page views (inflated if you count the same user multiple times)
• Number of features shipped (doesn't tell you if features are used)
• Tweets about us (doesn't correlate with revenue or retention)

Test: If a metric goes up while your business gets worse, it's a vanity metric.

Signs You Have Metric Hygiene Problems

• 100+ metrics tracked: If you track that many, the important ones are buried
• Metrics nobody looks at: Some reports are generated but no one reads them
• Metrics nobody understands: When asked "what is this metric?", people give different answers
• Contradictory metrics: Some metrics say the business is healthy, others say it's struggling
• Metrics that don't connect to outcomes: Tracked "because we've always tracked it"

How to Audit Your Metrics

Step 1: List Everything You Track

Gather all metrics from:

• Dashboards
• Reports
• KPI documents
• Slack
• Email

Get a complete list.

Step 2: For Each Metric, Ask Five Questions

1. Do we understand this metric? Can someone explain it clearly?
2. Do we use this metric? Is it in regular business reviews?
3. Does it predict outcomes? Does it correlate with revenue, retention, or profitability?
4. Does it drive behavior? Do teams make decisions based on it?
5. Is it being gamed? Are people optimizing for the metric at the expense of business outcomes?

Step 3: Categorize

• Keep: Metrics that answer "yes" to questions 1-4 and "no" to question 5
• Audit: Metrics that answer "yes" to questions 1-2 but seem questionable on outcomes
• Archive: Metrics that aren't understood, used, or predictive
• Replace: Metrics that are being gamed

Step 4: Create Core Metrics Framework

Organize your metrics into tiers:

Tier 1: Core Metrics (5-10)

• These drive business strategy
• Reviewed in every leadership meeting
• Examples: Revenue, retention, profitability

Tier 2: Supporting Metrics (15-30)

• These explain the core metrics
• Reviewed by relevant teams (sales, product, finance)
• Examples: CAC, LTV, churn by segment

Tier 3: Diagnostic Metrics (varies)

• Deep-dive metrics used by specialized teams
• Examples: Feature adoption by feature, support ticket resolution by category
• Don't review regularly; only when investigating

Tier 4: Deprecated

• Old metrics no longer tracked
• Archived for historical reference

Best Practices for Metric Hygiene

1. Seasonal Reviews

Every quarter, review your metrics:

• Are they still relevant?
• Are people using them?
• Do they need updating?

2. One Owner Per Metric

Every metric should have one owner responsible for:

• Definition and accuracy
• Regular updates
• Interpreting and communicating results

3. Version Control for Metrics

When you change a metric definition:

• Document the change
• Keep historical data under both old and new definitions for transition period
• Communicate the change to everyone who uses the metric

Example:

• "Starting March 1, we changed how we calculate retention to include expansion revenue"
• "Historical retention under old definition available here for comparison"

4. Regular Communication

Once per month, share:

• What your key metrics are
• How they're trending
• What you're doing about it

Example email:

**Key Metrics Update**

MRR: $100K (↑ 10% from last month, on track to $150K by Q2)
Churn: 5% (↑ from 4%, investigating)
CAC: $2K (↓ 10%, improved through referral program)

Priority: Investigate churn uptick. Product team looking at feature adoption.

5. Leverage Tools

Use dashboarding tools that show:

• Metric definitions
• Historical trends
• Targets and status
• Key drivers and segments

6. Kill Metrics You Don't Use

If a metric hasn't been looked at in 3 months, kill it or move it to archive.

Clutter hurts. A clean KPI stack is a healthy organization.

Metric Cleanup Exercise

Dedicate one day to metric cleanup:

1. List all metrics (30 min)
2. Audit each metric (60 min)
   • Do we understand it?
   • Do we use it?
   • Does it matter?
3. Categorize (30 min)
   • Keep, audit, archive, replace
4. Update documentation (60 min)
   • Definitions for "keep" metrics
   • Archive list for "archive" metrics
5. Communicate changes (30 min)
   • Email team explaining what changed
   • Update dashboards

Result: Cleaner metrics, better alignment, faster decisions.

The Bottom Line

Metric hygiene is like physical hygiene: it's not exciting, but it's important.

A clean KPI stack means:

• Clear priorities
• Less confusion
• Better decision-making
• Less distraction

Clean up your metrics.