Product Analytics helps systematically analyse how people actually use digital products. We examine how users interact with features, which usage patterns emerge and where difficulties occur. We combine quantitative usage data with product objectives and, where appropriate, qualitative research findings. This helps us identify opportunities for improvement and provides a sound basis for data-informed product development.
This method is suitable when optimising existing digital products, identifying barriers to use or evaluating the success of new features and product improvements.
Typical questions include:
Product Analytics is particularly useful after a product launch, during continuous product development or when evaluating strategic product objectives.
Together, we clarify which product objectives and user interactions should be examined. We define relevant metrics, events and usage scenarios, taking into account the available data and data protection requirements.
We examine usage patterns, interaction flows and relevant metrics. This may include feature adoption, drop-off rates or recurring usage. Where necessary, we compare notable patterns with qualitative research findings.
We evaluate the findings in relation to user needs and product objectives. Together, we identify opportunities for improvement, prioritise actions and define suitable metrics for assessing their impact.
You receive a structured analysis of actual product usage and actionable recommendations for further product development.
Depending on the project, the deliverables include:
This helps you understand how your product is actually used, identify improvements with the greatest potential value and make informed, data-driven product decisions.