Each team's daily metric should trace, in one line, to the outcome the business is actually chasing.

A crowded dashboard is not a strategy. We connect the outcome to drivers teams can act on and add guardrails that reveal when one metric improves at another team's expense. You end up with a KPI tree that lets each team trace its day-to-day metric back to the business outcome it is meant to support.

A Zeo architect arranging KPI blocks into a pyramid with the north-star metric at the top

Some of the 500+ brands we've worked with

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  • DenizBank
  • Yves Rocher
  • Zorlu PSM
  • Yemek.com
  • İstanbul Gedik Üniversitesi
  • Ruffles
  • GS Store
  • Amazon
  • BMW
  • Shell
  • Hyundai
  • PepsiCo
  • Red Bull
  • Decathlon
  • MediaMarkt
  • Bayer
  • Sanofi
  • EY
  • KPMG
  • GE
  • 3M
  • Domino’s
  • Lexus
  • Trendyol

We organize metrics as a connected system of outcomes, drivers, diagnostics, and guardrails. Four stages turn strategic intent into a metric system with clear formulas, ownership, targets, and review points.

How we hold ourselves to it

  • Define the outcome metric — We work with leadership to agree on the one metric that best represents whether the strategy is working.
  • A tree of drivers teams can actually move — We break the outcome down into drivers that teams can actually move day to day, with a lever attached to each one.
  • Every metric gets a formula, a source, and an owner — Each metric gets a precise formula, data source, and owner, so two people calculating it independently get the same number.
  • What happens when someone games this number? — For every metric a team might be tempted to over-optimize, we define a counter-metric that catches the damage before it becomes a bigger problem.
  1. Clarify the strategy

    We interview leadership to define what the business is trying to achieve and the timeframe for that outcome. The leadership agrees on the one outcome that counts.

    Strategy summary

    Two illustrated figures talking across a row of microphones
  2. Build the metric tree

    We decompose the outcome into drivers, diagnostics, and guardrails, reviewing each proposed relationship with its owner. The metric owner confirms they can move the driver.

    KPI tree

    Illustrated figure sketching plans at a drafting table
  3. Write metric contracts

    We document the exact formula, source, and owner for every metric in the tree. The owner signs off on the formula and data source.

    Metric registry

    Illustrated figure holding up a signed agreement page
  4. Set targets and review cadence

    We use the available history to help set realistic targets and agree on how often the tree should be reviewed. The leadership approves the target and review cadence.

    Target and review plan

    Illustrated figure reading an oversized measurement dial

A metric without a guardrail is an invitation to be gamed.

Automation summarizes the leadership interviews into candidate outcomes, drafts driver relationships from historical data, checks formula consistency across the registry, and projects targets from trend. Ownership is the human part: leadership names the outcome, a metric owner confirms they can actually move a driver, and targets and cadence are approved rather than calculated.

You receive a governed metric system, not another list of numbers without context.

  • A framed KPI tree on an easel beside a set of goal cards

    Architecture document

    KPI tree

    A visual document connecting the outcome metric to its drivers, diagnostics, and guardrails.

  • A framed KPI tree on an easel beside a set of goal cards

    Reference document

    Metric registry

    The exact formula, source, and owner for each metric, enabling reproducible calculations.

  • A framed KPI tree on an easel beside a set of goal cards

    Operating guide

    Target and review plan

    Targets grounded in available history and a cadence for checking whether the tree still reflects reality.

We call it done when: every metric has an owner who agrees they can move it, two people compute it the same way from the registry, and each driver has a guardrail where gaming is possible.

Too many metrics and no shared owner usually means the same argument keeps happening in different meetings.

A good fit when

  • Teams report many metrics but cannot explain which ones have a meaningful connection to strategy.
  • Departments calculate the same KPI from different formulas, so growth and conversion numbers start a fresh argument whenever teams compare them.
  • Targets lack clear baselines or owners, or no one has defined what to monitor when improving one metric harms another.

Better handled as other work when

  • You need to define which events to collect, not which metrics matter for strategy, that's Measurement Strategy & Tracking Plan.
  • You need dashboards built to display already-agreed KPIs, that's Looker Studio Dashboard Development.

If one of these is closer to your situation, start here instead: All Measurement Strategy & Analytics Governance tasks

We call it done when: leadership has agreed on the one outcome that counts, so the tree has a root instead of a committee.

  • Google Analytics

    checked while writing each contract, to confirm the metric is actually measurable as defined

  • Notion

    carries the metric tree and each metric's written contract, from first draft to the review cadence

Bring your current dashboards and the strategy they are meant to support. We will build the metric tree that connects them with explicit assumptions and ownership.
Plan KPI architecture

How many KPIs should we actually have?

Use only as many KPIs as needed to represent the outcome, its meaningful drivers, and the guardrails that matter. Diagnostic metrics may be numerous, but labeling all of them as KPIs removes the distinction.

What's the difference between this and a tracking plan?

A tracking plan defines the events to collect. KPI architecture defines which metrics matter strategically and how they relate, assuming the necessary data exists or identifying what is missing. Where a tracking plan gives you a name and a definition for an event, this gives every metric its own formula, source, and named owner. The two documents work together, but they answer different questions.

Can you also build dashboards for the KPI tree?

Not within this task. Here we define what the metrics are and what they mean. Looker Studio Dashboard Development covers the reporting layer built on top.

Whose time do you need for this?

We need time with leadership to clarify strategy and with each prospective metric owner to confirm that they can genuinely influence the number.