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Empower Solution Managers to Achieve Better Collaboration and Delivery

SAFe Solution Managers oversee the alignment and coordination of multiple Agile Release Trains (ARTs) to deliver complex solutions that meet strategic objectives. While Jira Align provides high-level planning and tracking capabilities, it relies heavily on manually entered status updates that may not reflect the true state of development. This discrepancy can obscure real progress, mask risks, and hinder effective decision-making.

 

PulsePoint AI addresses these challenges by providing insights grounded in actual coding activity. By delivering weekly reports and historical data, PulsePoint AI offers an objective, data-driven perspective far more reliable than manual status reporting. When used by RTEs, STEs, Product Managers, and System Architect/Engineers, PulsePoint AI becomes the single source of truth that empowers Solution Managers with actionable updates, enabling them to drive alignment and ensure delivery success.

Gain Grounded, Solution-Level Progress Visibility

Solution Managers rely on accurate updates to assess solution progress across multiple ARTs. PulsePoint AI provides RTEs, STEs, and Product Managers with coding-based insights, offering Solution Managers a far more objective view than the manually entered data in Jira Align.

 

How PulsePoint AI Helps:

  • Improve Reporting Accuracy: PulsePoint AI captures coding activity, offering updates that reflect actual progress rather than subjective or outdated status entries. Solution Managers benefit from receiving data-backed updates from their teams.

  • Highlight Delays and Risks: When STEs and RTEs use PulsePoint AI to detect stalled progress, they can escalate these risks to Solution Managers, providing actionable, objective insights to address issues proactively.

  • Analyze Historical Trends: With historical data shared by collaborators, Solution Managers can identify recurring inefficiencies or bottlenecks, providing a foundation for systemic improvements.

 

Example in Action: An STE reviews PulsePoint AI and notices that a critical capability spanning two ARTs shows uneven progress. Unlike Jira Align, which simply marks the feature as “In Progress,” PulsePoint AI reveals minimal coding activity in one ART. The STE escalates this issue to the Solution Manager, who coordinates with the PMO to address resource constraints and keep the solution on track.

Manage Dependencies Across ARTs with Real Data

Dependencies between ARTs are a frequent source of delays. PulsePoint AI offers a clear view of dependency progress based on actual coding activity, enabling RTEs, STEs, and System Architect/Engineers to provide Solution Managers with reliable updates that go beyond Jira Align’s manual entries.

 

How PulsePoint AI Helps:

  • Track Dependency Progress: PulsePoint AI reveals whether dependent tasks are advancing or stalling, allowing Solution Managers to rely on data-driven updates from their teams.

  • Pinpoint Bottlenecks: STEs and RTEs use PulsePoint AI to detect stalled dependencies and provide Solution Managers with evidence-based insights to prioritize resolution efforts.

  • Facilitate Cross-Team Alignment: With PulsePoint AI insights, RTEs and System Architect/Engineers provide Solution Managers with actionable data for resolving complex dependency issues.

 

Example in Action: PulsePoint AI shows little progress on a backend API dependency critical to multiple ARTs. Unlike Jira Align, which provides no visibility into actual coding work, PulsePoint AI reveals the lack of activity. The STE escalates the issue to the Solution Manager, who facilitates a discussion between Product Managers and System Architect/Engineers to prioritize the API and prevent downstream delays.

Validate Alignment with Business Objectives Using Real Progress

Solution Managers need to ensure solution development aligns with strategic goals. PulsePoint AI equips Product Managers and STEs with reliable data, enabling them to provide Solution Managers with updates grounded in actual progress rather than manually reported estimates in Jira Align.

 

How PulsePoint AI Helps:

  • Confirm Strategic Focus: Product Managers and STEs use PulsePoint AI to validate progress on high-priority features, ensuring alignment with business goals. Solution Managers benefit from these updates by confirming that ARTs are focused on delivering value.

  • Detect Misaligned Efforts: When PulsePoint AI reveals coding activity focused on low-priority work, Product Managers and STEs escalate these findings to Solution Managers, enabling timely course corrections.

  • Support Data-Driven Adjustments: Historical trends in PulsePoint AI reports allow Solution Managers to refine resource allocation and planning strategies, ensuring better outcomes in future PIs.

 

Example in Action: A Solution Manager receives updates from a Product Manager using PulsePoint AI, showing that a high-priority capability has lagged for two consecutive weeks. Unlike Jira Align’s static reporting, PulsePoint AI reveals a misallocation of effort. The Solution Manager works with the PMO and RTEs to reprioritize efforts, ensuring alignment with strategic goals.

Strengthen Collaboration Across Roles with Shared Ground Truth

Collaboration with key roles like RTEs, STEs, System Architect/Engineers, and Product Managers depends on shared, accurate insights. PulsePoint AI provides all collaborators with the same objective data, ensuring Solution Managers receive consistent and actionable updates.

 

How PulsePoint AI Helps:

  • Align on Real Progress: With PulsePoint AI, RTEs and STEs share updates grounded in coding activity, giving Solution Managers confidence in the accuracy of reported progress and risks.

  • Support Technical Discussions: System Architect/Engineers leverage PulsePoint AI data to provide Solution Managers with actionable insights during discussions about design or resource challenges.

  • Enable Accurate Reporting to the PMO: PulsePoint AI equips collaborators with coding-based insights, allowing Solution Managers to provide objective updates to the PMO, improving decision-making and strategic alignment.

 

Example in Action: PulsePoint AI reveals that a shared component critical for multiple ARTs has seen limited coding activity. The STE escalates the issue to the Solution Manager, who collaborates with the System Architect/Engineer to resolve a resource bottleneck. The Solution Manager shares this update with the PMO, recommending adjustments to the timeline and resource allocation.

Getting Started with PulsePoint AI

To maximize the benefits of PulsePoint AI:

  1. Leverage Ground Truth Reports: Ensure RTEs, STEs, and Product Managers regularly review and share PulsePoint AI insights for accurate solution-level updates.

  2. Analyze Trends Over Time: Use historical data shared by collaborators to identify systemic inefficiencies and refine strategies.

  3. Facilitate Data-Driven Decisions: Engage with RTEs, Product Managers, STEs, and System Architect/Engineers using PulsePoint AI insights to align on objectives and resolve challenges.

Conclusion

PulsePoint AI bridges the gap between manually reported data in Jira Align and the reality of development progress, offering Solution Managers a reliable, objective foundation for decision-making. By enabling RTEs, STEs, and Product Managers to surface actionable updates grounded in coding activity, PulsePoint AI empowers Solution Managers to make faster, more confident decisions. This shared ground truth unlocks business agility and ensures alignment across ARTs, driving successful solution delivery.

Ready to Unlock Your Team’s Potential?

​Experience the transformative power of PulsePoint AI.

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