Blitzllama's AI automatically uncovers product insights from feedback data
GPT-powered AI transforms user feedback into actionable insights, saving hours in manual data interpretation.
AI models are fine tuned on product data and on your taxonomy, making it easier to put insights and recommendations into action.
Shareable dashboards make it easy to collaborate on insights across your team, ensuring everyone's aligned on the next steps for product evolution.
Our GPT-powered analytics not only translates and categories text feedback, but only provides key product and behavioral takeaways from the survey.
Our AI continuously analyzes incoming feedback to identify anomalies, providing alerts on potential product issues and recommendations on product opportunities.
All feedback data is stored in one repository for easier search and analyze. Combine feedback with user cohort data to more efficiently prioritize roadmap.
Get started with Blitzllama by easily launching your first survey using our helpful AI question assistant.
Let our GPT-powered analytics do the heavy lifting – responses are automatically translated to English and categorized into actionable topics, sentiment, and urgency.
Gain valuable and personalized product insights effortlessly as our AI processes all responses, providing you with meaningful takeaways and summaries.
Create custom dashboards and effortlessly share valuable insights with your team, ensuring everyone is aligned for product improvements.
Utilize the Spotlight feature to analyze existing feedback using various filters, helping you prioritize product improvements and pinpoint customer pain points with ease.
GPT-powered analytics summarizes open text responses and pinpoints key product opportunities and issues.
Gather insightful summaries and product recommendations from survey responses.
AI continuously analyzes feedback to uncover new trends and outliers, and generates alerts on critical product issues.
Design and share custom dashboards to align your team around product improvements and customer pain points.
Dig deep into feedback data with various attribute and cohort filters to observe trends and prioritize opportunities.
Data guardrails provide filters to exclude low intent responses and spam, while statistical confidence indicators further guide informed decision-making.
