Performance Metrics Consulting: Decide What to Measure Before Anyone Builds a Dashboard

Performance metrics consulting is the work of deciding what your business should measure, and writing each measure down precisely enough that two people get the same number. You leave with a KPI tree linking goals to measures and a definition sheet for every metric. Edward Pinela, MBA, acts as the KPI consultant himself, from first workshop to final sheet.

It is a deliberate step before any dashboard. Building first and defining later is how companies end up with handsome reports whose numbers nobody trusts. Once the definitions are settled, the build is faster and cheaper, whoever does it.

To begin, request a free 30-minute strategy call through the form or over the phone, and Edward will set a time with you directly. Metrics engagements are quoted at a fixed price after that call; the size depends on how many departments and goals are in scope.

“Great firm, they understood our company needs really quickly… their approach was very hands on…”

— Jean-Michel C., Google review

What does a KPI consultant actually deliver?

Two documents and a set of decisions. The KPI tree shows how each company goal breaks down into the measures that drive it. The metric definition sheet fixes, for every measure, its formula, source, owner, frequency and target. The decisions are which measures make the shortlist and which are retired.

Retiring measures matters as much as choosing them. Most companies already report dozens of figures; the value of an outside view is often in naming the ones no decision depends on. The engagement runs in four steps:

• Goals interview. An hour with the owner or leadership team on this year's two or three goals and how they will be judged.
• Department sessions. Short video workshops with each manager to build their branch of the tree and draft the definitions.
• Data check. Each draft measure tested against the source system, so no metric depends on data nobody records.
• Sign-off. The tree and definition sheet reviewed with leadership and finance, then handed over as editable documents.

How do you build a KPI tree from company goals?

Start at the top with two or three goals for the year, then ask of each: what has to be true for this to happen? Each answer becomes a branch, and each branch ends in a measure a team can influence. A tree three or four levels deep is usually enough for a small or mid-sized company.

An illustrative example, with round hypothetical figures: a goal of growing gross profit to $2 million splits into revenue from new customers, revenue from existing customers and gross margin. New-customer revenue splits again into qualified leads, win rate and average first order. Each of those has an owner, and the owners are who the reporting is for.

Four levels is also the limit Power BI places on subgoals in its scorecards, where a goal needs at least a current value and a final target to show as tracked. A tree designed within that limit can move straight into a scorecard later.

What goes on a metric definition sheet?

Six fields per measure: the name, the formula in plain words, the source system and the records that count, the owner who answers for it, how often it is measured, and the target with its date. If any field is blank, the measure is not ready for a dashboard. The table shows each field and the question it settles.

The formula field is where most disagreements surface. 'Active customer' might mean bought in the last 90 days to sales and holds an open contract to finance. Settling that once, in writing, ends a recurring argument.

How do you tell a useful metric from a vanity metric?

Ask what you would do differently if it doubled or halved. A vanity metric, such as total social followers or page views, can rise while the business stands still, and nobody changes a decision when it moves. A useful metric is tied to a branch of the KPI tree and has an owner who would act.

The tree also sorts timing. Measures near the top, like gross profit, are lagging: they confirm what already happened. Measures at the leaves, like qualified leads this week, are leading: they move first and give the owner time to respond. A healthy shortlist has both. Three warning signs of a vanity metric:

• Totals that only grow. Cumulative sign-ups or all-time customers never fall, so they can never warn you.
• Activity without outcome. Emails sent or calls made, unless paired with the result they are meant to produce.
• Ratios with a moving base. A conversion rate whose denominator changes from month to month, so the trend means nothing.

Which metrics belong in a board or investor update?

A short, stable set drawn from the top of the KPI tree, reported the same way every period so trends are comparable. Typically that means revenue and gross margin, cash and runway, customer counts and retention, and two or three operating measures specific to the business, each with the definition sheet behind it.

Consistency matters more to a board than any single figure. Quietly changing a definition, for example moving from bookings to billed revenue, breaks the trend line; when a definition must change, the update says so and restates the prior periods.

To be clear about scope: this is help choosing and defining operating metrics for an internal board pack or a private investor update. It is not investor-relations, securities, legal or accounting advice, and anything bound for a regulatory filing or audited statements belongs with your accountant and counsel.

What happens after the metrics are defined?

The definitions become the specification for reporting. If you want them on a scorecard, the next step is KPI dashboard creation, where the sheet becomes measures in Power BI. If someone else will build, the sheet travels with them, and the KPI dashboard design principles guide covers how to lay the page out.

For a single leadership page, see executive dashboard design; plants tracking output, scrap and downtime have their own manufacturing KPI tracking system. If your team is still debating terms, what KPI metrics are is a plain-language primer.

The workshops draw on Edward's 20+ years and 200+ delivered projects, and Lightray carries a 4.9 Google rating and an A+ rating with the BBB.

Further reading: Microsoft Learn — Get started with goals and scorecards in Power BI.