Relevant for Product Management & Release Train Engineers
#Better prioritization #Cut costs
Many IT Product Owners still prioritize their backlog based on stakeholder requests, assumptions about user needs, or historical roadmaps.
Real usage data often tells a very different story: features that generate the most discussion are barely used, critical workflows suffer from friction that never surfaces in feedback sessions, and development capacity is frequently spent on low-impact enhancements while high-value use cases remain underserved.
By gaining transparency into actual product usage, Product Owners can align their backlog with real user behavior. This enables them to deprioritize unused features, focus investment on high-impact capabilities, validate roadmap decisions with data, and continuously steer development toward measurable business outcomes — improving product value without increasing delivery effort.
Step 1: We measure the Real Usage of your products
Step 2: We compare it with your backlog
Step 3: We help you understand the deltas
There is always a gap between what is planned in the product backlog and how users actually interact with the product in reality. Understanding this gap reveals features that consume delivery capacity without real adoption, unmet user needs that never make it into the backlog, and critical workflows that remain invisible to planning and prioritization — showing where effort accumulates without delivering user or business value.
Transparency where the greatest leverage for development activities lies
Indications of how capacities can be allocated more effectively
Enhanced resource prioritization and a clear focus on value generation for your DevOps teams.
Based on the measured data and identified indications, targeted deep dives can be conducted, ensuring customers don’t end up buying a pig in a poke.
Creation of a usage heatmap
Showing what is being used and which functions/areas are redundant, unnecessary, or can be covered by other systems. A precise ‘map’ for better alignment between business and IT. Less over-engineering, better target architecture.
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