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Feature Requests

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Feature Requests for Harness. Select 'Category' based on the module you are requesting the feature for.
Support automated recommendations for developer identities in Harness SEI
In multi-tool environments, a single developer often appears under multiple identities across systems (for example, different email IDs or username variations in Jira, GitHub, SCMs, or CI tools). Today, SEI primarily relies on a single canonical identity (often sourced from the Developer CSV or a primary system). This results in fragmented attribution, partial metrics, and inaccurate developer- and team-level insights when additional identities are not automatically reconciled. Example Scenario A developer is configured in SEI with abc@PQR.com , but appears as ab@xyz.com in GitHub and ab@gmail.com in Jira. As a result, work is split across multiple “developers,” leading to incomplete productivity, flow, and delivery metrics. Proposed Change Introduce heuristic-based auto identity discovery during ingestion and processing, to automatically map multiple identities to a single logical developer in SEI. Key Capabilities Heuristic-Based Identity Matching Apply configurable heuristics during ingestion, such as: Name similarity (exact, fuzzy, normalized) Username patterns Email local-part similarity Historical co-occurrence across systems (PR author, commit author, Jira assignee/reporter) Assign a confidence score to each inferred identity match. Confidence-Driven Auto-Merge High-confidence matches are automatically merged into a single developer identity. The canonical developer remains the one defined via Developer CSV (or primary identity source), with additional identities linked as aliases. Admin / Team Manager Review for Low Confidence Matches When confidence falls below a defined threshold: Surface a list of potential identity matches in the UI. Allow SEI Admins or Team Managers to manually confirm, reject, or adjust mappings. Decisions are persisted and reused for future ingestions. Auditability and Control Maintain an audit trail of: Auto-merged identities Manually approved or rejected mappings Provide the ability to unmerge or reassign identities if needed.
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Software Engineering…
SEI - Request for new metrics currently not available in SEI
Moniepoint has shared a number of wish for metrics that would bring alot of value with regards to the usage and adoption of SEI. Please find these listed below: Sprint Delivery Data Analysis - P1 We would benefit from having insight into team performance. Specifically, calculating the average sprint velocity for each team based on their historical sprint delivery data, ideally looking back over a quarterly period, would be very useful. Work Item Breakdown - P0 To quickly assess workload distribution, we require a visual breakdown of work items per assignee, ideally presented as a pie chart. Epic Estimation: Aligning Timelines with Business Expectations - P2 To enhance business alignment, it is recommended that Epic estimations include projected completion timelines. These timelines should be based on the scope of work and the expected frequency and velocity of execution. Merge Request Comment Metric - P0 Filter out comments from AI bot comments on PR using the user_id. This should not be taken into account for the number of comments and time to first comment. Merge Request Contribution Metrics - P1 Track MR contribution as an interaction-view to show which team members review each other's MRs. The goal is to understand key man risk, burdened reviews and members who don't assist in reviews. Work allocation - P3 Break down per team member to understand where they spend their time using FTE: Writing Code, Reviewing MRs, Meetings (integration with GMail) Meeting time - P3 Metrics to track how much time is spent by the team in meetings. Benchmarking - P2 We would like to, at the project level, define the single team against which all other teams are benchmarked. This should show on all graphs.
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Software Engineering…
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