Case Study 03
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Case Study 04
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Case Study 02 - Delivery pulse
Improving Visibility and Risk Detection Across Engineering Operations
🔍 Executive Challenge
In fast-paced delivery environments, the most dangerous risks are the ones that go unnoticed. Pull requests sit idle. Status updates are delayed. Teams fall out of sync. Without clear signals, engineering leaders are left chasing updates reactively—rather than steering proactively with foresight.
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Delivery risks build silently, often surfacing only after delays or escalations
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Lack of real-time visibility makes it hard for execs and team leads to intervene early
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Success goes unrecognised, eroding morale and momentum across distributed teams
❗ Data Insight: On average, x% of pull requests remain idle for more than x days, contributing to x% of missed sprint goals and $x in cumulative delay costs per quarter.
⚙️ SRC Solution
Jira Delivery Pulse delivers a lightweight, high-impact layer of AI-driven delivery intelligence—surfacing the right signal at the right time to the right stakeholder.
Core Capabilities:
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Monday Risk Briefs: AI identifies stalled pull requests, unclear ownership, or aging tasks and auto-publishes executive summaries
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Friday Wins Digest: Highlights key achievements by individuals and teams, creating a culture of visibility and recognition
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Instant PR Alerts: Real-time identification of pull request bottlenecks, including suggestions for next steps and responsible parties
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Team-Level Dashboards: Aggregated view of team progress, blockers, and delivery hygiene across Jira workstreams
💡 Designed to sit on top of your existing Jira setup with zero disruption—no need to restructure boards or workflows.
📈 Business Outcomes & Strategic Impact
Business Metric | Outcome |
|---|---|
Executive alignment | Consistent signal flow enables data-backed decisions |
Delivery throughput | Improved sprint completion rates by x% over x weeks |
Morale | Weekly recognition improves engagement and team culture |
Risk detection | Early surfacing of blockers before they derail delivery |
Visibility | End-to-end delivery clarity across teams and levels |
Estimated ROI: Mid-size engineering teams (x squads) see an average x% reduction in delivery lead times, equating to $x savings in operational efficiency per quarter.
⏱ Proof of Concept Timeline
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Deployment: 1 week with existing Jira instance
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Scope: One delivery team or functional group
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Success Metrics: Time-to-risk surfaced, PR idle time, sprint predictability uplift, feedback from leads
✅ Ideal For
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Heads of Engineering & VPs of Delivery aiming to de-risk programs and improve signal clarity
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CPOs seeking more predictable, transparent product cycles
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CTOs who want real-time oversight without micro-management