Done-review comment
WEB-142 spent 54 hours in review against an 18-hour median. ImpactLoop would post context on the completed issue so the team can discuss the delay during review.
ImpactLoop for Jira flow follow-up
Flow feedback that acts in Jira, not another time-in-status dashboard
ImpactLoop keeps flow feedback close to the work: Done-review comments for meaningful outliers, stalled-work nudges that can clear when work resumes, and weekly digests posted inside Jira.
Trials, purchase, billing, and exact pricing are handled on Atlassian Marketplace.
Built for delivery leads, scrum masters, and engineering managers who want flow follow-up where the team already works.
Last updated: 2026-06-18
Why teams install ImpactLoop
Delivery teams already have dashboards. What gets missed is the follow-up: why this completed issue waited unusually long, which work is aging now, and what summary should be posted back where the team operates.
The buyer-facing output is proof of action: example Jira comments, digest summaries, decision records, baseline context, queued nudges, skipped issues, and auto-clear state.
What you can show
- Done-review comments are reserved for material outliers instead of every completed issue.
- Nudges can be threshold-based and clear when work resumes.
- Weekly digests summarize trends inside Jira rather than another dashboard tab.
- Decision records explain why an issue was commented, nudged, or skipped.
Different from time-in-status dashboards
| Need | Native or manual path | ImpactLoop |
|---|---|---|
| Dashboards report | A dashboard can show which work waited, but the team still has to leave the issue to interpret it. | ImpactLoop posts high-signal Done-review comments on material outliers. |
| Manual follow-up | Scrum masters or delivery leads chase aging work by memory or recurring report review. | Threshold-based nudges can be queued and clear when work resumes. |
| Static metrics | A chart rarely explains why a specific issue did or did not need action. | Decision records show comments posted, nudges queued, and issues skipped. |
Product view
Example Jira follow-up
Stalled-work nudge
WEB-155 passed the configured aging threshold. ImpactLoop would queue a nudge and clear it automatically once the issue moves.
Weekly digest
The digest summarizes commented outliers, active nudges, and skipped issues so the team sees what needs follow-up without opening another dashboard.
Sample - synthetic data
Sample decision data and flow digest
A synthetic flow follow-up export showing baseline context, Done-review comment decisions, stalled-work nudges, skipped issues, and weekly digest state.
Download CSV, JSON, and manifest files
- Decision events CSV: Signal, issue key, baseline, observed value, and action.
- Flow digest JSON: Signals reviewed, comments posted, nudges queued, and skip reasons.
- Manifest JSON: Bundle file names, sizes, and SHA-256 hashes.
Scope limit: ImpactLoop is an in-Jira follow-up layer. It is not a BI platform or data warehouse.
Fit and boundaries
Best for: Delivery teams that want in-Jira flow feedback rather than another reporting dashboard.
Not for: A broad BI suite, data warehouse, or full portfolio analytics platform.
Where it fits
Use ImpactLoop when the team already has enough dashboards but still needs high-signal Jira comments, stalled-work nudges, and weekly flow summaries that prompt action.
Use cases
- Give teams context on why a completed issue took longer than normal.
- Nudge stalled reviews or aging work without permanent dashboard watching.
- Share a weekly Jira-native digest during operations or sprint reviews.
- Tune materiality thresholds so comments stay high-signal.
- Keep flow feedback close to the work instead of in a separate analytics tool.
Core capabilities
- Build project baselines from issue history and workflow phase mappings.
- Post Done-review comments only when completed work has material time-in-status outliers.
- Queue stalled-work nudges and auto-clear markers when work resumes.
- Generate weekly flow digests inside Jira.
- Store settings, baselines, decision telemetry, and nudge queue state in Forge storage.
Typical workflow
-
Map workflow phases
Choose a phase catalog and map Jira statuses to meaningful phases.
-
Build baselines
Analyze enough issue history to compare new work against project norms.
-
Detect outliers
Flag completed issues whose phase time meaningfully differs from baseline.
-
Nudge stalled work
Queue threshold-based reminders and clear them when work moves.
-
Share digest
Publish lightweight weekly flow summaries in Jira.
Security, privacy, and support
- ImpactLoop processes Jira issue metadata, status history, user display names, and comments as needed for analysis and Jira comments.
- It stores settings, baselines, decision telemetry, and nudge queue state in Forge storage.
- Writes are limited to configured Jira comments, nudges, and digest delivery.
- Project admins manage configuration; app support follows ArdSaor privacy and support policies.
FAQ
Does ImpactLoop replace Jira reports?
No. ImpactLoop focuses on in-Jira action, context, comments, nudges, and digests rather than broad BI reporting.
When does it post comments?
It posts Done-review comments when configured analysis finds a meaningful time-in-status outlier, not on every completed issue.
Can nudges auto-clear?
Yes. Nudges are threshold-based and can clear automatically when work resumes.
What data is stored?
ImpactLoop stores project settings, baselines, decision telemetry, and nudge queue state in Forge storage.
Install from Marketplace
Add Jira-native flow follow-up without another dashboard
Install ImpactLoop, map one workflow, build the first baseline, and review the comments and digests before tuning thresholds.
Related ArdSaor apps and solutions
Notion to Jira handoff
TaskPort
Create Jira issues from Notion pages and databases with preview-first control.
- Works with
- Jira Cloud and authorized Notion workspaces
- Status
- Available on Atlassian Marketplace for Jira Cloud
Jira configuration drift
DriftGuard
Catch risky Jira board and saved-filter changes before sprints or reports run against the wrong configuration.
- Works with
- Jira Cloud; board monitoring requires Jira Software
- Status
- Available on Atlassian Marketplace for Jira Cloud
Solution
Jira Flow Signals and Time-in-Status Follow-up
Teams do not always need another analytics dashboard. ImpactLoop turns Jira issue history into focused comments, nudges, and weekly digests so teams can act on flow signals where the work already lives.