Agile performance metering & AI-based forecasting
Why metering of agile performance, progress tracking and accurate forecasts are crucial for product success
Multiple reasons stand for moving actionable analytics and tracking into a heart of agile development machinery. agile metering, progress visualizations, and accurate forecasting are essential components of agile product development, enabling teams to maintain transparency, detect issues early, drive continuous improvement, adapt plans as needed, manage risks effectively, and align their work with business objectives.
Agile methodologies emphasize continuous improvement, and accurate metering and visualizations are essential for identifying areas where processes can be refined or optimized. By analyzing metrics and visualizations, teams can pinpoint areas for improvement and experiment with new approaches to increase efficiency and effectiveness.
We would be happy to assist you in making agile product development data driven and on that way more precise and suitable for important decision making:
Definition of right metrics and KPIs
Right definition of metrics and ratios which will build the foundation of reporting, planning and forecasting is one of the most important tasks while initial set up. Would it be metrics measuring customer feedback, or system performance, growth rates etc. and first of all innovation accounting.
Right metrics are capable to detect issues, defects, bottlenecks etc on an early stage allowing timely interventions and adjustments to keep development on track before they get critical.
Providing transparency and accountability – reports, visualizations and dashboards
Role based and phase driven reporting is crucial. Regular process collection, validation and communication is important for the aligned understanding where the product development should move to. This transparency fosters accountability, as everyone can clearly see if the team is meeting its commitments and where adjustments may be needed.
Accurate forecasting enables teams to align their work with broader business objectives and strategic goals. By understanding how their efforts contribute to the overall vision, teams can prioritize work more effectively and ensure that resources are allocated to the most valuable initiatives
Adaptive planning and prioritizations
Depending on which methodology is applied for prioritizing of features for the next release – WSJF or others historical values can have an immense impact on the results comparing to a simple estimation techiques. Accurate forecasting relies on understanding historical data and current progress. By leveraging agile metering and progress visualizations, teams can make more informed forecasts about future work, allowing for better planning and resource allocation. This adaptive planning enables teams to respond more effectively to changes in priorities or unexpected challenges
AI-based forecasts
Artificial intelligence and machine learning models can be used as a gear shift for precise release planning and roadmap building. Forecasts can be user in connection with adopted evaluation techniques like story points or T-shirt sizes. Precise forecasts can impact which features will be taken into the next release and which not.