See how far you are from your objectives through real measures of success

Introduction

There is a dangerous comfort in measuring motion instead of progress. When organizations lose the discipline to judge work by actual systemic output, metrics become the ultimate refuge from accountability.

Most organizations do not use metrics to measure reality. They use them as administrative armor. When executives lack the conviction to inspect actual work, and middle managers lack the ability to produce it, metrics become the primary tool to simulate momentum. The entire layer of coordinators, managers, directors, and status reporters survives by converting real operational problems into clean, sanitized numbers that fit neatly onto a slide deck.

In most companies, executives and middle management have built entire careers out of confusing the two. Measuring actual progress is dangerous: it requires standing in front of real outcomes and taking ownership of the blast radius when things fail. Measuring motion is safe. You track tickets closed, processes followed, story points burned, and quarterly "initiatives" completed.

A metric is not a vanity mirror, nor is it a scorecard to justify someone’s headcount. It is diagnostic instrumentation. Its only function is to expose friction and systemic failure with complete, unemotional clarity so that people can make hard trade-offs before things break. The moment a metric exists to prove that leadership is doing a great job or to protect a comfortable middle manager from accountability, it ceases to be a measurement. It is just an expensive corporate cover story.

It is the best tool at your disposal to identify the bottlenecks in value creation, it is the only tool you can use to effectively prioritize where to put your best people at any time.

Measuring whether any of these activities contributed to any high priority objectives or not, is sadly a rare thing in mature organizations. This ruthless accountability is a dying art.

The definition of useful metrics

A metric is not an objective in itself. An objective is the destination, a goal with a clearly defined end state and a deadline. A metric is simply the instrument that measures how far you are along to the objective, and a way to measure whether you have actually achieved that objective or not.

It does not set strategy, it does not motivate teams, and it should never be treated as an end in itself. Its job is purely diagnostic, it should reflect the ground truth of the system as it runs, without narrative spin or managerial interpretation.

Useful metrics over academic gymnastics Useful metric is never an academic exercise in statistical gymnastics. If you need advanced math degrees or an explanation of polynomial regression to understand what a number means and how daily work impacts it, the metric is completely useless.

The best metrics are brutally simple, transparent, and immediately obvious to everyone looking at them. If you cannot explain the metric and what drives it in one plain-English sentence, throw it out.

Determine a useful metric

Proxy metrics risks becoming obfuscations

The moment middle managers and team leads realize that managing the score is easier than managing reality, proxy metrics take over.

A proxy metric is a synthetic measurement invented to simulate value without having to produce an actual business outcome. Real objectives carry real risk: they rely on operational performance, they face market reality, and when they fail, the blast radius is obvious. Proxy metrics, by contrast, offer total safety. A middle manager or coordinator can define them, track them, and report green status updates across every quarterly slide deck without ever solving an actual problem.

This is how an organization begins eating its own tail. Middle management starts inventing concepts like the internal customers to insulate the organization from economic reality. Once teams only serve "internal customers," the necessity of shipping real value vanishes. Engineering is measured by story points burned for Product; Product is measured by tickets delivered for Management; Coordinators are measured by sprint cadences maintained for Leadership.

The entire circus becomes a closed loop of fake productivity. A team can hit 100% of its internal proxy targets, win praise across the management chain, and celebrate another "successful" cycle while the core business output quietly degrades.

Proxies will actively rot the system from within, by measuring movement instead of progress:

1. They incentivize systematic gaming by chopping medium things into tiny things, to show ticket velocity instead of feature releases.
2. They reward motion over completion: A project coordinator can report an initiative as "85% complete" for three quarters in a row based on checklist proxies, even if zero functioning capability has reached reality.
3. They sever teams from reality: When the primary target is maintaining an internal score, nobody has an incentive to ask whether the system is actually holding up under real-world pressure.

Proxies are not harmless bureaucratic quirks. They are an active drain on organizational energy and focus. Every hour spent negotiating story points, calibrating motion, and sitting in sync meetings to defend synthetic numbers is an hour stolen from fixing real bottlenecks in the actual business or focusing on grabbing the real opportunities.

Metrics needs to be tamper proof

Middle managers and coordinators are rational actors. When their status, authority, or quarterly standing depends on a dashboard, human nature takes over and they will bend reality before they admit systemic failures.

Unless you enforce strict, objective governance over how numbers are gathered, metric tampering will run rampant across the organization:

1. Redefining terminology on the fly: When incident numbers spike, middle management simply reclassifies critical operational failures as problems instead of incidents to protect the uptime report.
2. Filtering the dataset: Negative customer feedback, botched deliveries, or failed transactions are dismissed as statistical outliers and quietly excluded from the monthly review.
3. Grading their own homework: Coordinators determine the criteria for whether their own project hit its milestones, ensuring a 100% success rate on paper while the operational floor deals with the wreckage.

Measuring should never be done by the people being measured. If a metric requires human curation, manual entry, or managerial interpretation before it reaches leadership, it is not telemetry, it is public relations.

Useful metrics must be completely tamper-proof. They must be generated automatically by the systems doing the work: raw event logs, verified transaction drops, system latency, and uncurated frontline complaints. If they are qualitative in nature, there should be a seperate team doing the qualitative work.

If a middle manager has the administrative access to delete bad feedback or tweak the formula of a scorecard, they will to some degree and at some point in time do it. Protect the numbers from human interference, or stop pretending you care about the truth or is data driven. Then its better to just have power points with opinions rather than dashboards with fake truths.

Metrics are not objectives

When a measure becomes a target, it ceases to be a good measure

It is important to build demand a culture where the metrics are not becoming

The moment a metric is tied to compensation, performance evaluations, or quarterly status reports, people stop managing the business and start managing the score.

Quantitative output

Management literature has made a habit of sneering at output. We are told by consultants and framework peddlers that "measuring output is an outdated industrial mindset" and that "mature organizations only measure outcomes."

This is complete nonsense. It is at its worst intellectually dishonest and at its best an excuse invented by people who produce nothing. A shield designed to excuse for not delivering something that is working on a deadline.

These metrics that measure financial increases or efficiency gains can be viewed as output oriented. They are in fact more valuable than the purely

These have recently been viewed as less valuable than outcome based ones. This is wrong, a business thrives on the quantiative metrics. Focusing solely and mainely on qualitative outcomes rather than output, turns an organization into a complicated academic excecices rather than a practical and pragmatic system.

Output is the baseline of operational vitality. It is what actually creates value and is the primus behind all other things in any organization.

Another alias of it is efficiency.

Do not apologize for measuring raw throughput. The goal is not to eliminate output metrics, but to ensure that the output you measure is real work rather than administrative motion.

Qualtiative outcomes

Another alias of it is effectiveness.

Paired effects

Pairs of metrics should be used to balance the effect and counter-effect, that way we dont overreact to increases.

For instance releases increasing will also increase bugs in production. Needs to be paired with severity, length of bug, economic effect and release frequency.

Measuring screws used or stones cut instead of progress towards building