methodatlas
RunsheetEngineering

Goal Question Metric

ComplexityMedium
Time90-180 min
Participants3-6
FormatWorkshop
MaturityCanonical
01

Prerequisite

What needs to be finished first

Complete firstStrategy or goal documentnot in catalog

At least one documented target or strategic concern endorsed by leadership exists in written form.

Without: Without a clear goal, GQM starts from available data and devolves into retrospective justification of existing metrics.
Complete firstOKR

The team has defined quarterly or annual OKRs with measurable key results.

Without: Without OKR or a comparable outcome anchor, GQM becomes abstract measurement theory with no anchor.
02

Preparation

What needs to be ready before start

Materials

GQM table (Goal, Question, Metric, source, owner, cadence); current team metric inventory; template for metric briefs; whiteboard or Miro board.

People / roles

A measurement program owner (Engineering Manager, Product Lead, or Data Lead); 2-4 people who produce and consume the data; a Data Analyst for source and calculation questions.

Pre-read

Current goals in short form; existing dashboards and reports with rough coverage; known metric pain points (for example contradictory figures); list of available data sources.

Time needed

2-3 h

Setup

Prepare the table in three sections: Goals at top, then Questions, then Metrics. Set the rule: no metric without question, no question without goal. Add a separate Orphan Metrics section for items without anchor connection.

03

Core question

The one question this method answers

Which questions must we be able to answer to know whether we are reaching our goal, and which metric answers each question?

04

Flow

Marker: Phase

StepDurationActionHint
1Phase 1: Clarify goals
30 minFor each goal, add detail in Basili's goal template: object, purpose, quality aspect, viewpoint, context. Example: reduce Mean Time to Restore for Service X from the Operations team perspective in production.If a goal falls apart during clarification, split it instead of keeping it vague. Vague goals create vague metrics.
2Phase 2: Derive probing questions
45 minFor each goal, formulate 3-6 questions that must be answered to assess progress. Questions must be answerable with evidence, not opinion.If a question is not answerable without assumptions, it is too abstract. Example instead of Are we fast enough: How long does a typical restore take in P95?
3Phase 3: Metrics per question
45 minFor each question name 1-2 metrics that answer it. For each metric document data source, calculation, aggregation, cadence, and owner.No metric should appear in two questions without justification. Duplicated metrics usually indicate a too broad question.
4Phase 4: Clean existing set
30 minRun all existing metrics through the GQM grid. Mark metrics without a question as Orphan and set a deadline for deactivation or attachment.Do not tolerate orphan metrics silently. They are the main source of metric sprawl and conflicting reports.
5Phase 5: Briefs and cadence
30 minCreate a brief for each metric with definition, source, calculation, thresholds, and owner. Define review cadence (for example monthly, quarterly).Without a metric brief, a metric is just a number on a dashboard. It becomes necessary as soon as there is a disagreement about meaning.
05

Artifact

What comes out at the end

Form

GQM table with three hierarchy levels and a metric brief per metric. Header with date, owner, and scope. Section for Orphan Metrics with deactivation date.

Versioning / ownership

Semiannual snapshot with date. Changes to metric definitions with rationale in edit log; do not overwrite older definitions. Keep deactivated metrics with status retired and date.

Tool alternatives
  • Confluence or Notion page with nested tables
  • Google Sheet with tabs for Goals, Questions, Metrics
  • DataHub or OpenMetadata glossary linked to metric briefs
  • Git repository with YAML per metric (for example metrics-as-code)

goal-question-metric-working-template.md

Compact working template for Goal Question Metric with context, input, output artifacts, and next step.

Goal Question Metric Working Template

Goal

Derives metrics from goals and probing questions.

Context

When and for what do we use this method?

Input

Which data, observations, decisions, or materials are available?

Execution

Short notes along the runsheet.

Output artifacts

  • GQM table:
  • Metric profiles:

Assumptions and open questions

  • ...

Decision / next step

Owner, date, and success signal.

06

Example output

Concrete filled scenario, fictional example

goal-question-metric-beispiel.md

Concrete filled scenario, fictional example

GQM plan — Platform Reliability Team, H2 2026

Goal G1

Reduce Mean Time to Restore (MTTR) for Tier-1 services from the Operations team perspective in production.

Question Q1.1: How long does a typical restore take?

  • M1: MTTR P50 in minutes by service (source: PagerDuty + Statuspage joins, monthly).
  • M2: MTTR P95 in minutes by service (source: same, monthly).

Question Q1.2: Where is most of the restore time spent?

  • M3: Time-to-Detect (source: Datadog alert logs, monthly, owner @ben).
  • M4: Time-to-Engage (source: PagerDuty acknowledgment, monthly, owner @anna).
  • M5: Time-to-Mitigate (source: incident notes, monthly, owner @marcus).

Orphan metrics (to deactivate by 30.09.2026)

  • Server CPU max (no question link, owner @anna).
  • Tickets in queue X (question unclear, owner @lisa).
07

Pitfalls

Recognize symptoms and steer against them

Trap

Starting from data instead of goals

Symptom

Discussion begins with what data we have and which questions this data can answer.

What to do

Stop the bottom-up reflex and restart with the goal template. Bring in existing data only after questions are defined.

Trap

Unanswerable questions

Symptom

Questions like are we agile enough with no one able to define what answer means.

What to do

Rephrase the question so that it can be answered with a number or a defined status. If not possible, move the question to a retrospective instead of GQM.

Trap

Metric inflation

Symptom

4-5 metrics arise per question and the program becomes unmanageable.

What to do

Limit to maximum 2 metrics per question. If more are needed, split the question. Otherwise maintenance and credibility suffer.

Trap

Missing metric briefs

Symptom

A number exists in the dashboard but nobody can explain how it is calculated or who owns it.

What to do

No entry in GQM table without a linked metric brief. During review, open the metric brief; otherwise the metric is considered non-productive.

Trap

Allowing orphan metrics

Symptom

Reports continue to include metrics without question linkage because they are historical.

What to do

Maintain an orphan list with deactivation date. Escalate if overdue, otherwise wild metric sprawl accumulates.

Trap

One-off workshop instead of ongoing program

Symptom

After the workshop, the table is not revisited and new metrics are created ad hoc again.

What to do

Fix review cadence at least quarterly. Only add new metrics via pull request into the GQM repo.

08

Stop criteria

Done signals checkable in under a minute

No documented goal with owner is available, and every goal still needs to be negotiated.
No one with access to data sources can participate in the session.
Political directives prohibit deactivating existing metrics, so cleanup is blocked.
The team cannot formulate empirically answerable questions; GQM is not the right tool.
Existing metric set is too small for a program, and a lightweight brief is enough.
No enforceable review cadence, so results become unused after 4 weeks.

Finished the runsheet?

Go to the profile for purpose, similar methods, and sources or continue to the next method in the catalog.