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Feature · Execution facts

Execution facts

Turn consented observations into traceable process evidence.

OverviewFacts awaiting outcome
Operational Analytics · Execution facts

Facts awaiting outcome

Approval conditions

New
IdParentSequenceDescriptionOutcomeObserved on
IDD-990PS-8851720Pending pef-906Pending05 Oct
IDD-355PS-8241820Pending pef-463Pending11 Oct
IDD-880PS-3161840Pending pef-820Pending17 Oct
IDD-595PS-6190020Pending pef-401Pending20 Oct
IDD-910PS-4755950Pending pef-197Pending14 Oct
6 of 6 records
IDD-990Process execution facts · PEF-54616
Pending
ParentPS-88517
Sequence20
DescriptionPending pef-906
Observed on05 Oct
Example screen with sample data

What you can do

Start with the source record

An operations analyst collects session and conversion facts against one snapshot revision. Each fact carries its observed date, outcome, source reference and consent basis. The analyst checks whether accepted outcomes and execution counts describe the same period before presenting a rate or comparison. The team keeps the source record open during discussion so a status or result does not lose its context. A named owner can answer where a number came from, when it was observed and which revision was under review.

A practical pilot uses one property and one reporting window. The owner checks its definition, a small set of observations and the first decision before expanding collection. This keeps disagreements about timing, outcome or responsibility visible while they are still easy to resolve.

How the work is organized

  • Source scope. Agree which source events enter the process and how a repeated delivery is recognized.
  • Consent and outcome. Record the consent basis and distinguish pending, accepted and rejected outcomes.
  • Run trace. Use the operation key and numbered steps to understand retries and failures.

The source snapshot connects operational records to the organization and the person responsible for the result. A record changes state through the defined lifecycle, while its revision and state history keep previous decisions understandable. If the team needs to revisit a result, it can inspect the run and evidence attached to that source rather than relying on a copied chart.

What to agree during setup

Agree which team can create the source record, who can review it and when a result is ready to share. Decide how dates, time zones and source identifiers are written so two people can find the same observation. If a source revision changes, require a fresh review decision and keep the earlier decision visible in the history. Use a small real case to check that the person assigned as owner can reach the related records.

The setup conversation should include the source system owner. An external event stream supplies the facts, while the team working here owns interpretation and review. The source reference and consent basis need to be meaningful to the people checking the result. Agree what evidence a reviewer expects before moving a snapshot forward.

Check the handoff on an actual case

Open a snapshot for a measured web property. Have the analyst trace one observation to its source and reporting period. Ask the reviewer to identify the exact revision and explain the decision with its evidence reference. Then have the owner open the resulting action or report. A successful handoff lets each person reach the same source record and understand why its current state is justified.

Repeat the check when an observation is rejected, a source capture is stale or a run fails. The team should see the exception in the appropriate record and avoid presenting an incomplete result as confirmed. Keep the owner responsible for the next action and the reviewer responsible for the decision they made.

What your team sees

  • Facts awaiting outcome — Observations whose outcome still needs a decision.
  • Accepted execution facts — Accepted observations with counts for the source snapshot.

Follow the work through

Follow collection, review and analysis from the same source record. Use implementation to rehearse ownership and evidence before the first operating cycle.

What it keeps track of

Data model
Process execution facts
Consented observation-level session and conversion event facts.
Process snapshots
Measured web properties with lifecycle status and observed outcome fields.
Operation runs
Workflow execution runs with frozen revision, input hash and result identity.
Operation steps
Numbered steps of an operation run with input/output and receipt state.
Source snapshots
Sourced snapshot captures with coverage window and freshness status.

Who uses it

Permissions
Operations Analyst
, Process Owner, Independent Reviewer

Set up Operational Analytics your way.

Start free, then use Proto to change fields, steps and approvals before your team goes live.

How to get started