Academic & social science
Collect interview data without spending weeks on coordination and manual transcripts. Askiva supports structured interviews on Zoom and turns conversations into accurate transcripts, themes, and summaries you can use for analysis and reporting.
Interviews are powerful in academic and social science research. They help you understand real experiences, real decisions, and the meaning behind behavior. But they also create a lot of work. You recruit participants, schedule sessions, run interviews, and then spend long hours turning audio into text and text into findings.
Askiva helps reduce that workload. It supports a clear interview workflow and produces transcripts and structured outputs that make analysis easier. This is useful when you are running a small qualitative study, or a larger project with many participants.
What problems does this solve?
In research, time is limited. Deadlines are real. Grants and ethics approvals come with rules. Many researchers also work with small teams.
You might ask yourself:
How do we keep interviews consistent across multiple interviewers?
How do we avoid losing details in messy notes?
How do we organize findings so they are easier to code and report?
Askiva is built to support consistent, repeatable interviews and clear outputs.
How Askiva fits an academic workflow
You start by defining your research goal and interview guide. This can be semi structured or fully structured, depending on your method. You can use your own questions and add prompts for follow up.
Next, you schedule sessions. Askiva supports a smoother scheduling flow, so you can reduce back and forth, especially when working with busy participants.
When the interview happens, it runs on Zoom with an AI interviewer that follows your guide. It keeps the flow consistent and can ask for clarification when answers are unclear. This can be helpful when you want cleaner data and less missing context.
After the session, you get an accurate transcript and a short summary. You can also see themes across interviews, which helps you spot patterns early. For many projects, this becomes the base for coding and analysis.
What you get after each session
You receive a clean transcript, highlights, and a structured summary. Over time, you can review themes across multiple interviews and build a clearer picture of what is happening in your data.
These outputs can support tasks like:
Preparing a report or paper draft
Creating a coding plan
Sharing early findings with supervisors or stakeholders
Keeping a clear audit trail of what was discussed
Example study types
Askiva can support many interview based projects, such as:
A study on behavior change and habits
Interviews about health, education, or work experiences
Community research and civic participation studies
Program evaluation interviews
Cross cultural or multilingual qualitative studies
Ethics, consent, and participant rights
Academic research often requires ethics approval and clear participant consent. If you interview participants, you should clearly explain the purpose of the study, what data is collected, and that transcription is used. Your organization manages that relationship, consent, and legal basis. Askiva supports structured workflows during pilots to help teams stay clear and responsible.
If you want to collect interview data faster and keep it structured for analysis, Askiva can help. Request a demo and we will show a workflow tailored to your research method. We usually reply within 24 hours.
