These cookies are required for the website to function properly. They ensure security, enable basic features like page navigation, and store user session data. You cannot disable these cookies.
- Operational Analytics
- Features
- Bottleneck analysis
Bottleneck analysis
Investigate the work behind a slow or incomplete process result.
OverviewAccepted execution facts×
Operational Analytics · Bottleneck analysis
New
Accepted execution facts
Process execution facts
| Id | Parent | Quantity | Accepted outcome count | Execution count | Outcome | |
|---|---|---|---|---|---|---|
| IDD-533 | PS-88189 | 540 | 5 | 8 | Accepted | |
| IDD-739 | PS-34587 | 140 | 30 | 2 | Accepted | |
| IDD-912 | PS-21979 | 630 | 37 | 32 | Accepted | |
| IDD-514 | PS-41419 | 290 | 3 | 29 | Accepted | |
| IDD-924 | PS-80200 | 610 | 19 | 19 | Accepted |
6 of 6 records
IDD-533Process execution facts · PEF-11496
AcceptedParentPS-88189
Quantity540
Accepted outcome count5
Execution count8
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
Set up Operational Analytics your way.
Start free, then use Proto to change fields, steps and approvals before your team goes live.