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Ivie

Description

Ivie is an AI-driven user research tool that collects qualitative insights from users to aid in building better products. It processes these insights, extracting the most valuable content from each conversation and converts it into coded user insights. Ivie intelligently maps and aggregates these insights according to best practices in product frameworks, but also allows for custom views. It provides in-depth analysis and context understanding by breaking down insights to the original transcript, and adding all known user context. This supports user segmentation and product development. Ivie also creates structured notes from interview transcripts, highlighting important details. The tool is trained to understand your business, it can communicate in multiple languages and is capable of detecting accents. Ivie can be customized to your company’s use case and is trained to behave as a team member. Besides, Ivie facilitates the setup of diverse research scenarios, including customer satisfaction, win-loss analysis and many more. The tool can be embedded into your user’s journey and accommodates multiple research formats including exploratory research and specific research like A/B Testing feedback, churn analysis, and more. Ivie offers quick setup, customizable options, supports multiple question types, and can be embedded into apps/web apps or sent via email. The tool is designed with privacy and security in mind; your data is encrypted and stored securely.

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Pros
Accent detection
Aids in brand harmonizing
Allows automated follow-up questions
Assists in churn analysis
Available 24/7
Built with privacy in mind
Can analyze e-commerce experience
Can conduct gamification elements research
Can detect user accents
Can execute customer persona research
Can perform market landscape research
Coded user insights
Conducts A/B Testing feedback
Contextual analysis
Creates structured notes
Customizable research design
Customizable to company’s use-case
Customizable views
Embeddable in apps/web apps
Embeddable into user’s journey
Enables win-loss analyses
Encrypted and secure data
Extracts value from each conversation
Facilitates diverse research scenarios
Facilitates job-to-be-done research
Fully customisable
Gathers qualitative user insights
Helps in product development
In-depth transcript analysis
Incorporates user context understanding
Integrates business understanding
Mappings to product frameworks
Multilanguage support
Multiple question types support
Offers multiple research formats
Performs positioning and ad-testing
Quick setup
Runs user education research
Sendable via email
Supports concept testing research
Supports customer satisfaction analyses
Supports exploratory & specific research
Supports feature prioritization analyses
Supports usability & design research
Supports user segmentation
Supports various question types
Supports wide research templates
Trained to behave like teammate
Cons
Cannot process quantitative data
Data privacy concerns
Dependent on user input
Lacks offline capabilities
Limited integration options
Limited language support
Overly complex setup
Potential accent detection errors
Single focused function

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