1. Operational Analytics
  2. Features
  3. Bottleneck analysis
Feature · Bottleneck analysis

Bottleneck analysis

Investigate the work behind a slow or incomplete process result.

OverviewAccepted execution facts
Operational Analytics · Bottleneck analysis

Accepted execution facts

Process execution facts

New
IdParentQuantityAccepted outcome countExecution countOutcome
IDD-533PS-8818954058Accepted
IDD-739PS-34587140302Accepted
IDD-912PS-219796303732Accepted
IDD-514PS-41419290329Accepted
IDD-924PS-802006101919Accepted
6 of 6 records
IDD-533Process execution facts · PEF-11496
Accepted
ParentPS-88189
Quantity540
Accepted outcome count5
Execution count8
Example screen with sample data

What you can do

Start with the source record

The analyst starts from a reviewed snapshot revision and examines execution, case and step completion counts. The bottleneck operation records its steps, confirms its persisted effects on the source record with a read-back before marking its run succeeded. The owner can open the operational overview to see the trend alongside follow-up exceptions. 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

  • Reviewed baseline. Choose the exact approved revision before interpreting bottleneck results.
  • Completion context. Compare step target completions with the exposure and execution counts for that process.
  • Read-back. Confirm the persisted result on the source before calling the operation complete.

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

  • Validated snapshot queue — Validated and analyzed snapshots to compare with their review decisions.
  • Active operation runs — Collection or analysis runs still awaiting completion or reconciliation.

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 snapshots
Measured web properties with lifecycle status and observed outcome fields.
Process execution facts
Consented observation-level session and conversion event facts.
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.
Review decisions
Independent reviewer decisions recorded against an exact source revision.

Who uses it

Permissions
Operations Analyst
, Process Owner, Independent Reviewer

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