Operations templates

Monthly KPI review

A KPI-review agent reconciles one reporting period against agreed metric definitions and source records. It investigates material differences, separates evidence from explanations, and prepares decisions for the business owner. It records approved actions and owners rather than inventing a cause for every change.

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When to use it

Operators preparing a recurring business review from spreadsheets, operational records and analytics. Use this for internal decisions; a client-facing report needs its own approval and delivery process.

Example scenario

Qualified leads fall after a tracking-tag change while organic traffic also declines. The agent records both observations and asks for raw counts instead of attributing the entire lead drop to the tag change.

Getting started

  • Provide the reporting period, metric definitions, source figures and previous-period results.
  • Name the owners who will resolve discrepancies and decide follow-up actions.

Common questions

Can an AI KPI review explain every change in the numbers?

No. The review separates measured changes, documented events and hypotheses. Missing or conflicting evidence remains visible, and the business owner decides whether to act, investigate or defer.

How the monthly KPI review agent works

This playbook guides the reconciliation, review, and decision-making for one closed reporting period across agreed business metrics. One run reconciles one reporting period against documented formulas and source data, gathers verified explanations for significant shifts, and presents an evidence-backed review packet to the business owner for operational decisions. It ends when approved metrics and assigned follow-up actions are verified in the review tracker, or when unresolved variances are formally recorded with an attributed rationale. Fall back to manual spreadsheet exports or tabular paste if connected platform APIs are unavailable.

  • Check the destination tracking table (such as Coda, Airtable, or Google Sheets) for an existing finalized review for the specified reporting period. If a completed review already exists, stop processing to prevent duplicate records and notify the operator with the existing record reference.
  • Extract source records for the period and compare reported figures against established metric definitions, including explicit numerator and denominator rules, timezone boundaries, and historical restatements. Flag any metric whose definition is incomplete, unverified, or conflicting across systems, rather than treating an unverified formula as settled.
  • Information request. When a metric definition is ambiguous, source rows are missing, or calculation formulas conflict between systems, present the exact discrepancy to the metric owner with the competing values and calculation methods. If the metric owner supplies the missing data or confirms the formula, reconcile the figures and preserve the updated evidence. If the metric owner cannot resolve the discrepancy or does not respond, keep the affected metric marked as unresolved, attribute the uncertainty, and submit it to the business owner to decide whether to exclude the metric or defer it with an assigned owner and follow-up date.
  • For metrics deviating significantly from agreed baselines or prior periods, compile documented operational causes from team incident logs, deployment schedules, or analytics evidence (such as Google Analytics 4 traffic reports). Clearly distinguish raw recorded data from metric owner commentary and operational hypotheses, avoiding unsupported causal claims.
  • Compile the review packet containing reconciled figures, documented variance reasons, and concrete operational follow-up proposals. Each proposed action must specify an operational rationale, a nominated accountable owner, and an explicit review date for the subsequent period.
  • Approval. Present the complete review packet to the business owner, showing verified metrics, attributed variance explanations, unresolved data points, proposed decisions, and nominated action owners. If the business owner approves the packet as presented, proceed to record decisions. If the business owner requests changes to figures, actions, or owners, update the review packet and present the revised packet for explicit confirmation. If the business owner decides to retain the current operational plan without changes, record that explicit choice with its rationale. If the business owner is silent or unavailable, keep the case pending; do not infer approval or proceed to record decisions.
  • Apply approved metrics, owner decisions, and assigned follow-up tasks to the designated review tracking table (in Coda, Airtable, or Google Sheets). Read back the saved records immediately to confirm that figures, decisions, and accountable owners match the approved state exactly.
  • Exception. If writing the approved review or action records fails, or read-back verification reveals missing fields or corrupted entries, inspect existing destination records before attempting a retry. If automated writing remains unavailable, provide a formatted export of the approved review to the reporting lead. The reporting lead either repairs system access and verifies successful persistence via read-back, applies the approved export manually and provides read-back confirmation, or formally defers the write with an assigned owner and completion deadline.
  • In a fictional example, the October SaaS operations review showed a 14% drop in qualified leads in Google Analytics 4 while the CRM reported on-target signups. Reconciling definitions revealed that a tracking tag migration on October 12 altered form submission event parameters, while organic traffic also declined by 6%. Rather than assuming the tag change caused the entire decline, the review recorded the documented tag discrepancy alongside the observed traffic drop as a hypothesis. The metric owner supplied the raw event counts, the business owner approved retaining the sales plan while assigning the web engineer to repair the tracking tag by November 5 and assigning the marketing lead to evaluate organic traffic by November 12, and both corrective tasks and reconciled numbers were verified in Coda.
  • The case completes successfully when the review record, approved decisions, assigned action items, and next check dates are verified in the tracking platform. If the business owner decides not to alter the current plan despite a metric variance, record the approved explanation and mark the review complete without creating unnecessary action items. If unresolved metric discrepancies remain, the case completes when the business owner's explicit decision to defer or accept the unresolved figures is recorded with an accountable owner and follow-up date.

Where your team decides

  • Metric owner settles definitions or discloses unresolved data
  • Business owner decides actions, deferrals or retaining the current plan

Example systems

Configure connections and permitted actions during setup.

  • Google Sheets
  • Coda
  • Airtable
  • Google Analytics 4

Checks to adapt

Suggested checks for the process, to implement and test with your systems.

  • Duplicate check

    Checks the destination table for an existing finalized review for the specified reporting period and returns existing record identifiers if present.

  • Definition reconciliation

    Compares reported metric numbers against documented source formulas, date boundaries, and raw transaction counts to identify calculation discrepancies.

  • Variance attribution

    Matches significant metric changes against operational incident logs, deployment schedules, and analytics exports to produce supported explanations.

  • Decision recording

    Writes the finalized KPI summary, approved operational decisions, assigned action owners, and follow-up deadlines to the destination tracking system and verifies row creation via read-back.

Process stages

Adapt monthly KPI review with your team

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