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Each industry has its specific challenges. SentiSnap offers tailored solutions for all.
Pricing

Develop products customers love with market

and user research

With market and user research, you'll gain valuable insights for developing products that customers love. Collect feedback quickly and easily, analyze data in depth, share results across the company. Make the customer voice the engine of continuous improvement for your products.

Get data that helps you better target products and communication
Test hypotheses quickly and with confidence you're going in the right direction
Track what brings real results and optimize based on data
Capture market changes early and strengthen your competitive advantage
Facilitate collaboration and speed up decision-making with shared data

SentiSnap platforma - moderní dotazníky a analýza dat

Validate new feature ideas in a fraction of the time and cost

Forget lengthy debates and crystal ball gazing. With market and user research, you'll back important decisions with hard data from real customers. Create a survey, collect opinions, analyze results, and iterate the product in days instead of weeks. Eliminate uncertainty and build solutions that customers actually want and need.

Track product customer satisfaction in real-time

Evaluate how users work with the product, collect improvement ideas. Respond to suggestions promptly thanks to alerts and metric overviews. Make the customer voice visible by sharing results with all teams.

Discover hidden insights in customer data with AI

Let artificial intelligence find important observations and trends in response text. Get clear charts of topics, keywords, sentiment in a few clicks. Compare results of different segments and uncover specifics of their needs.

Examples of use in product management

Concept and prototype validation

Show users prototypes and ask for their opinion. Uncover UX strengths and weaknesses. Iterate based on feedback until you have a great solution.

Satisfaction and NPS surveys

Regularly measure NPS and trends. Analyze reasons for (dis)satisfaction using open-ended responses. Respond to suggestions and improve the product.

Persona creation and user segmentation

Get to know different types of customers in depth. Ask about their characteristics, problems, needs. Create data-driven personas and segments for better targeting.

Validation of interest in new functionality

Collect feedback on new feature ideas. Find out how important the functionality is to users and what problems it would solve. Prioritize based on data.

Testing pricing models and willingness to pay

Experiment with different prices and subscription models. Identify the optimal price point and price-sensitive segments. Maximize both revenue and satisfaction.