Template · C15

Build a KPI tree

Question addressed

How can leading, lagging and operational indicators be combined?

Direct answer

The tree connects each objective to leading, lagging and guardrail indicators, with their thresholds and decisions.

Decision supported

01Organise measurement without multiplying decorative indicators.

02The rule, the evidence and the next review date stay visible.

How to use this

Move from the question to the deliverable.

01Starting point

How can leading, lagging and operational indicators be combined?

02Decision prepared

Organise measurement without multiplying decorative indicators.

03Deliverable to use

KPI tree

Worked example · SQ-20

Propagate an alert from revenue down to the leading signal

The KPI tree links result, conversion, volume and activity. Every threshold shows where to act before the final result becomes irreversible.

Working context

Costed case: a quarterly objective of €900k of marketing-sourced revenue.

  1. 01Anchor

    Start from the final result and its formula.

  2. 02Break down

    Link the volumes, rates and delays that explain the result.

  3. 03Set thresholds

    Define green, watch and action for each node.

  4. 04Assign

    Name the owner able to act on the signal.

Original element

KPI tree with propagation thresholds

Revenue stays green at the start of the quarter, but the shortfall in meetings already signals a risk on future opportunities.

Calculation methodRevenue = opportunities × win rate × average value
NodeTargetActualAction thresholdStatusOwner
Sourced revenue€900k€870k< €810kWatchMarketing leadership
Opportunities120112< 108WatchDemand generation
Qualified meetings300246< 270ActionSDR lead
Accepted MQL750720< 675GreenMarketing ops
High-intent signals2,4002,510< 2,160GreenAcquisition
CSV · targets, thresholds and ownersDownload the KPI tree
Decision interpretation

01The meetings alert appears before revenue falls below its action threshold.

02Raising MQLs is not the priority correction: their volume stays green.

03The decision bears on sales acceptance and on conversion into meetings.

Fictitious data. The relations in the tree describe a contribution hypothesis, not a demonstrated causality.

Coherence controls

Minimum conditions before validation.

01Baseline present

The status, the evidence and the owner must be available for review.

02Dated target

The status, the evidence and the owner must be available for review.

03Actionable KPI

The status, the evidence and the owner must be available for review.

04Named owner

The status, the evidence and the owner must be available for review.

Usable deliverable

Output produced

KPI tree

Explore the decision further with an interactive control, or start from a structured template to produce your deliverable.