Aptitude
Aptitude · Marketing · Business
Aptitude runs and analyzes customer interviews with an AI moderator, letting a research team talk to hundreds of people at once and get themes back in hours.
About Aptitude
What Is Aptitude
Aptitude, also written Aptitude AI, is an AI customer interview platform and a customer research platform. It uses an AI interviewer to run conversations with many people at the same time. You set up a study, and the AI moderator talks to each participant, asks follow-up questions, and then turns the transcripts into summaries and themes. The pitch is simple: the depth of a one-on-one interview with the reach of a survey.
It is built for market researchers, user researchers, and product managers. The common jobs are concept tests, churn interviews, advertising and messaging checks, and usability work. Instead of booking a handful of sessions and waiting weeks, a team can talk to hundreds of users in a single run and read the output the same day.
The trade-offs are worth knowing. An AI moderator does not read a room the way a trained human does, so the quality of a study leans on how well the discussion guide is written. Setup takes some effort, and everything happens in the browser.
Getting Started
- Sign up at tryaptitude.ai to create an account.
- Define the research objectives for the study.
- Build a discussion guide, add moderator instructions, and attach any files that explain the topic.
- Configure the AI interviewer so it matches the brand and the tone of the study.
- Launch the AI moderator to run interviews with the target participants.
- Review the generated summaries, key themes, and insights, then export the results.
Product Information
A quick look at Aptitude's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Market researchers
- User researchers
- Product managers
Tasks
- Running interviews at scale
- Synthesizing feedback
- Testing a concept before launch
Scenarios
- A churn study after a bad month
- A messaging check before a campaign
- A usability round on a prototype
Key features
AI-moderated interviews at scale
The core of the platform is an AI interviewer that holds real conversations with many participants at the same time. It engages each person, asks intelligent follow-up questions, and probes the reasoning behind an answer. The aim is the texture of a one-on-one interview without the scheduling wall that limits how many people a team can reach.
Customizable research design
You build the study yourself. The platform lets you write a discussion guide, add moderator instructions, and attach files that explain the topic. The AI interviewer can also be tuned to reflect the brand, so participants hear a voice that fits the company rather than a generic bot.
Automated insight synthesis
Once interviews are done, the platform summarizes the transcripts, identifies the key themes, and pulls out actionable insights. A researcher who would otherwise spend days reading and coding notes gets a first pass in a short time and can spend the saved effort on judgment.
Qualitative and quantitative output
A study returns both kinds of data. The conversations give the nuance and the reasons, while the volume of responses gives numbers a team can weigh. That pairing is the reason a small sample of interviews and a large survey are no longer the only two choices.
Use across research types
The same engine covers several jobs. The documented uses include concept testing, churn interviews, marketing research, and user research such as usability testing and diary studies. One setup carries across them.
Pros and cons
Pros
- Wider reach: an AI moderator runs hundreds of conversations at once, so a study is not capped by the number of sessions a human can hold.
- Faster turnaround: summaries and themes come back in hours rather than after a week of manual coding.
- Both data types: a single run gives you the reasons behind an answer and the volume to back it up.
- Flexible setup: discussion guides, moderator instructions, and files can be tailored per study.
- Consistent questions: every participant hears the same guide, which reduces drift between sessions.
Cons
- Less human judgment: an AI moderator cannot pick up on a hesitation or a shift in tone the way a trained interviewer does.
- Setup effort: the quality of a study depends on how carefully the guide and instructions are written.
- Browser only: work happens in the web app, so there is no offline path.
- Pricing not public: cost is not listed on the site, so a team has to talk to sales to size a plan.
Frequently asked questions
Aptitude runs and analyzes customer interviews with an AI moderator. Teams use it for concept testing, churn interviews, marketing research, and user research, and it returns summaries, themes, and insights from the conversations.
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