Automated interviews in research:
Qualitative answers, quantitative numbers
Automated interviews provide researchers, designers, and product managers a powerful tool to achieve both depth and scale in their work. This unlocks significant opportunities for innovation and insights.
By Max de Jong · Last update: 23th of April 2025
Use automated interviews in different situations and for different goals
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An automated way of conducting interviews in research? Which researcher or designer doesn’t want that? Well, I do! In this blog, we will explain what automated interviews are, how it works, what benefits it has and when it’s best to use it. We have written this article based on information from researchers and designers that are using it at the moment, our own experience building an automated interview platform and our own experience in automating interviews with AI. Parts of this article are (re-)written by ai to improve the quality of the article.
Read this if you would like to start using automated interviews in research set ups, or if you want to know more about automated interviews.
Introduction to automated interviews
Automation is something everybody loves when it works well. In research, automation used to feel like a utopia for qualitative interviews. Interviews have historically been labor-intensive, requiring significant time and effort from researchers. Today, with AI-based software, interviews can be automated at scale across collection, processing, and analysis.
Create AI research assistants in three simple steps
Create an Automated interview
The automated interview will be conducted by an AI assistant for you
Share the Automated interview link
Share the Automated interview link with your users
What are automated interviews?
In simple terms, automated interviews are interviews not moderated by a human. More broadly, they are closely related to AI interviews and can be described as follows: we could define AI interviews as follows:
Automated interviews involve the use of artificial intelligence (AI) and machine learning algorithms to conduct interviews without human moderation.
Automated interview software can interact with respondents, ask dynamic follow-up questions, and record responses in real time. Platforms like Pitchwave can understand natural language and keep interviews consistent across participants, while supporting many languages.
Applications of automated interviews in the research space
Automated interviews are used across many research fields. In social sciences, they support studies on public opinion and behavior. In UI/UX research, they help uncover why people love or dislike products. In market research, they help understand customer preferences at global scale.
Benefits of automated interviews in research
While humans remain essential in research and full automation is still far away, automated interviews provide meaningful benefits:
Scalability
With human interviews, sample sizes are often constrained by time and effort, usually around 10 to 20 participants (depends on the number of personas). Because automated interviews run without human intervention, they can scale to many more users.
Accuracy
Automated interviews can reduce human error and bias in analysis, leading to more reliable outcomes.
Accessibility
Automated interviews make research activities more accessible for teams without large budgets.
Cost effectiveness
Traditional interviews require paid human interviewer time. Automated interview platforms reduce manual effort and can run many interviews in parallel once set up.
Advanced data analysis
Automated interviews support advanced analysis capabilities such as pattern detection, sentiment analysis, natural language processing, and improved reporting.
Speed & efficiency
Automated interviews can process and analyze large datasets much faster than humans, helping researchers focus on interpretation rather than collection.
Anonymity and Comfort
Some participants feel more comfortable sharing sensitive information with a machine. This can improve honesty in responses for delicate topics.
The benefits & challenges of automated interviews in one overview
It is important to evaluate whether automated interviews are the right fit. Like any tool, they come with pros and cons. For some use-cases they are not yet ideal, while for others speed and scale are strong advantages.
Benefits
Efficiency & Time Saving
Scalability
Cross-Cultural and Multi-Language
Consistency & Objectivity
Cost effectiveness
Advanced data analysis
Accessibility & convenience
Improved Data Quality
Challenges
Lack of human touch and emotion
Technical issues
Limited flexibility to change during a conversation
Bias in algorithms
Privacy concerns
Resistance in adoption by respondents
Cost of implementation
Less respondent engagement during the interview
Challenges and ethical considerations
Beyond benefits, ethical concerns matter. A key concern is reduced empathy in AI-driven interviews, which can affect response depth in emotional contexts.
Privacy and security are also crucial. Some platforms handle this well, while others may not, so evaluating vendor standards is important. Algorithmic bias must be considered as well. Interview systems should be monitored and refined to remain fair, transparent, and aligned with research goals.
The future of automated interviews in research
As AI technology improves, automated interviews will continue to improve in quality. Future developments may include stronger language understanding and better analysis capabilities.
Automated interviews are already transforming research by making data collection and analysis more scalable and cost-effective. As tools mature, they will become increasingly important across disciplines.
One of the best Automated interview platforms: Pitchwave.io
We created an automated interview platform for qualitative interviews. Instead of manually running every interview, the platform asks questions to real respondents in chat, available 24/7.
Collected interview information appears in your dashboard so you can review and analyze insights quickly.
Set up an automated interview yourself with Pitchwave
Curious to try it out yourself? Within a few minutes, you can integrate automated interviews into your own research. Follow the steps below to create an AI interview on our platform.
1. Request access on this page
Register for an account with Pitchwave. If you haven't requested access yet, do this first to ensure you receive credentials.
2. Sign in here
After registration, sign in with the credentials you received.
3. Create a project
After signing in, create a project to manage your automated interview research assistant in a structured way.
4. Create an automated interview
After creating a project, create an automated interview by clicking "Create a new research". Once key details are entered, you can brand your assistant.
5. Brand your automated interview
Branding helps users recognize your brand and build trust. Upload your logo and select brand colors.
6. Share your interview link with real respondents
When your automated interview is ready, share the link with respondents so they can start immediately.
7. Receive responses and insights in a few minutes
After respondents complete the interview, responses appear in your dashboard. Analyze individually or export all data.
Frequently asked questions
The most requested answers
