We define and create validation environments that help identify potential demand, predisposition towards the offering, expectations regarding the value proposition, predisposition towards pricing and monetization models, etc. We utilize tools such as smoke testing, surveys, A/B testing, pre-launches, and more.
Testing& validation
We commit to an iterative approach focused on rapid testing, data collection, and continuous learning. We test and validate in real-world conditions.
Conceptual Validation of Business Models and Products in the Market
Development of POCs (Proofs of Concept)
We design controlled trials that help validate technical and commercial feasibility before large-scale implementation.
Validation of AI Impact on Specific Processes
We evaluate the value AI brings to processes through tools and procedures. This includes working at multiple levels and comparing (via A/B testing) different process versions with and without AI. Areas of focus: metric analysis, AI model accuracy as it interacts with real data, impact on time savings, performance, etc.
Design and Development of Testing Dynamics (A/B, Live, Behavioural, Neuro...)
We execute advanced hypothesis validation strategies not merely to gather data, but to generate insights that inform the next steps in development, design, or marketing strategy.
Pilot Testing with Beta User Segments (F&F)
We start in secure, controlled environments to validate a product across all levels (personalization, experience, functionality, acceptance, performance) in early development phases.
Proyectos relacionados:
Together with Primor, we defined the experience to test the new app in a closed environment prior to Go-To-Market.
