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Aptitude AI

Aptitude AI

Aptitude AI uses AI to analyze customer conversations, offering deep insights for researchers and product managers to drive business growth.
Author:LoRA
Inclusion Time:05 Feb 2025
Visits:2957
Pricing Model:Free
Introduction

What is Aptitude AI?

Aptitude AI is a platform that uses artificial intelligence to analyze customer conversations at scale. It helps businesses understand customer needs and feedback quickly by conducting and analyzing interviews with customers. This tool is particularly useful for market researchers, user researchers, and product managers who need to gather insights from frequent interactions with clients.

Use Cases

Market Researchers: Conduct ad concept testing to understand brand value and conversion drivers.

User Researchers: Perform usability tests and diary studies to collect user experience data.

Product Managers: Analyze reasons for user churn and gather extensive product feedback.

Key Features

Large-Scale Conversations: Engage with hundreds of customers simultaneously for deep insights.

AI Hosted Interviews: Use an AI host to delve into the reasons behind customer feedback.

Customizable Research: Tailor the AI interviewer to fit specific research needs by adding discussion guides and instructions.

Insight Synthesis: Automatically summarize interview transcripts, identify key themes, and provide actionable insights.

Concept Testing: Gather qualitative and quantitative feedback on new products.

Churn Analysis: Automatically interview users who have stopped using the service to get immediate feedback.

Usability Testing: Test new designs to ensure they are easy to use and intuitive.

How to Use Aptitude AI

1. Visit the Aptitude AI website and sign up for an account.

2. Log in and customize the AI interviewer according to your research needs.

3. Set up interview parameters like questions and participant criteria.

4. Start the interviews; the AI will automatically engage with participants and collect data.

5. After the interviews, Aptitude AI will analyze the data, identifying key themes and insights.

6. Review the summary report and use the insights to inform business decisions.

7. Repeat the process as needed to continuously gather and analyze customer feedback.

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