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  3. Execution trace
Feature · Execution trace

Execution trace

Inspect operation runs, numbered steps and recorded transitions.

OverviewMy production snapshots
Manufacturing Analytics · Execution trace

My production snapshots

Production snapshots

New
NumberNameProduction dateStatusOwner
PS-25578Snapshot 29006 OctConfigured
PS-91314Snapshot 63725 OctCollecting
PS-95632Snapshot 30807 OctValidated
PS-36379Snapshot 77827 OctAnalyzed
PS-49469Snapshot 42411 OctPublished
6 of 6 records
Snapshot 290Production snapshots · PS-25578
Configured
Production date06 Oct
Example screen with sample data

What you can do

Trace the action that changed a source

Validation and efficiency computation are invoked for a particular production snapshot revision. Each attempt is represented by an operation run with an operation key, source revision, input hash, times, status and result reference. Numbered operation steps record the actions inside the run. State history keeps the source’s before and after status with an actor and reason. Together, those records let an analyst answer what was attempted, which revision it touched and what was persisted.

A run marked Failed records a failure reason. Reconciliation required signals that the analyst must compare the operation’s recorded result with the source’s actual state. A Succeeded efficiency run follows a read-back of the updated result fields. The visible state of a run is therefore part of the handoff, not a decorative success message. The analyst should inspect it before asking a manager to rely on the result.

How the work is organized

  • Run identity. Operation key and input hash distinguish an intended action from a new input.
  • Step receipt. Numbered steps preserve input and output references and any external receipt evidence.
  • Transition. State history ties a status change to the source revision and actor.

What to agree during setup

Choose the operation key convention used when an operator retries validation. Agree who investigates Failed and reconciliation required runs, and which receipt evidence is required for an external step. Define how long a run may stay Running before investigation. The analyst and Admin should know which fields to compare on a read-back: the source revision, relevant measured values, result reference and completed step outcomes. Keep run troubleshooting within the authorized organization and source.

Check the handoff on an actual case

Invoke validation for a source with linked facts. Open the operation run and follow its steps in order. Confirm the run points to the intended snapshot and revision. Inspect state history for the recorded transition. Repeat the same action with the same operation key and verify that the existing operation identity explains the response. Then rehearse a failed update: the analyst should see the failure reason and avoid treating the source as analyzed until the persisted fields have been checked. Compare the time and step number on the failed attempt with the earlier successful attempt. This makes a retry understandable to the next shift without treating every request as a new calculation.

What your team sees

  • Run exceptions — Failed or reconciliation-required runs with their source revision and reason.
  • Production snapshot queue — Sources whose lifecycle state still needs work.

Follow the work through

Follow observation validation and efficiency calculation. The data model shows how run, step and source references join.

What it keeps track of

Data model
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.
State history
Immutable lifecycle transition history for each source.
Production snapshots
Measured web properties with lifecycle status and observed outcome fields.
People
Analysts, owners and reviewers belonging to an organization.

Who uses it

Permissions
Production Analyst
, Snapshot Owner, Admin, Operations Manager.

Set up Manufacturing Analytics your way.

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

How to get started