Nico Seyboth & Silvia Schreier
The Innovation Formula: Fast Prototyping, Data Analysis, and Real User Insights
#1about 3 minutes
Navigating digital transformation in a B2B retail ecosystem
INTERSPORT's challenge is to innovate within a complex B2B environment characterized by messy manual processes and a small IT department.
#2about 6 minutes
Conducting user research without large-scale data
In a B2B context without A/B testing, the focus shifts to qualitative methods like interviews and using AI tools to create synthetic user personas for deeper insights.
#3about 5 minutes
Building throwaway tools for data-driven problem validation
To validate user-reported issues, small, temporary analysis tools are built to investigate historical data and uncover the root cause of system inconsistencies.
#4about 4 minutes
Using AI and low-code for rapid greenfield prototyping
Generative AI tools help brainstorm and create initial prototypes for new ideas, while low-code platforms enable building scalable solutions for internal back-office processes.
#5about 4 minutes
Prototyping solutions for complex brownfield environments
Browser plugins and RPA tools like Power Automate can be used to augment existing, unchangeable systems and validate new features without disrupting busy product teams.
#6about 1 minute
The UDP innovation formula for business improvement
The core innovation strategy combines deep user understanding (U), data-driven validation (D), and rapid prototyping (P) to fail fast and build impactful solutions.
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