Planview’s product development software empowers software engineering leaders to optimize digital product delivery, manage complexity, and prove impact.

Budget and Resource Constraints

IT budgets are often first to face cuts despite rising operational demands. You have to retain top talent in the face of static salaries and heated market demand for their skills. Critical modernization to platforms or infrastructure is deferred indefinitely, increasing technical and security risk.

• Capacity Analysis: Identifying areas of inefficiency where you can reclaim capacity without increasing headcount
• Investment ROI Tracking: Demonstrating clear returns on technology investments protects critical initiatives from arbitrary budget cuts
• Security Risk Dashboards: Consolidating security priorities alongside feature development, ensuring critical vulnerabilities aren’t overlooked

Operational Challenges

Production stability is paramount when customers are scrutinizing their technology spend, and the stakes are high for any outage or performance issue. Short-term decisions to delay maintenance or proper engineering practices create long-term problems and add to ever-present technical debt.

• Production Stability Metrics: Correlating development practices with production stability, identifying critical areas for investment even during cost-cutting
• Technical Debt Management: Providing frameworks to ensure balance between new development and maintenance, preventing performance issues or even catastrophic system failures
• Balanced Work Portfolio: Demonstrating business impact of technical debt and critical regulatory work creates a stronger case to invest in necessary maintenance

Delivery Pressure

Your timelines for delivery are compressed despite reduced resources, forcing you to make tradeoffs between quality vs. speed and increasing pressure to ship faster with less testing or validation.

• Delivery Bottleneck Identification: Pinpointing, in real time, exactly where processes slow down enables targeted improvements that increase velocity and reduce the time needed to complete product development projects without adding headcount
• Workflow Automation: Reducing manual overhead in development processes, freeing up engineering capacity for value-add work
• Team Tool Integration: Integration capabilities that connect existing development tools ensure teams can maintain their preferred workflows while gaining enterprise visibility and data fidelity

Strategic Misalignment

Business priorities constantly change without clear communication to your teams about what matters most. Leadership tells you innovation matters but your budget only allows for maintenance. And inefficiency is everywhere with projects frequently paused then restarted based on shifting financial outlooks, executive opinions, and market conditions.

• Work-to-Strategy Connection: Creating clear visibility into how engineering work connects to company priorities, preventing misalignment
• Workflow Disruption Costs: Showing the hidden costs of cancelled and aging work, supporting more consistent execution
• Priority Visualization: Providing transparent views of what’s actually being worked on versus stated priorities, exposing disconnects
• Dynamic, AI driven Product Roadmapping: Connecting engineering work directly to product roadmapping activities, ensuring technical decisions support current business priorities

Team Management Challenges

Your teams are disengaged and burnt out due to uncertainty, layoff anxiety, and increased workloads. Complexity grows as it as it becomes harder to align cross-team dependencies when everyone is under-resourced and over-committed. Teams are constantly redirected to new and different “urgent” priorities, reducing their speed and productivity.

• Team Health Metrics: Tracking indicators of team burnout and engagement, helping you proactively address morale issues
• Cross-Team Dependency Management: Visualizing dependencies across resource-constrained teams, improving coordination and prioritization
• Context Switching Analysis: Quantifying impact of work in progress on productivity and time to market, supporting more stable work allocation