A new way to run research interviews

Research interviews are one of the best ways to understand people. They give you context, emotions, real stories, and the reasons behind decisions. But there is a problem most teams do not talk about enough.

Interviews are not hard because of the conversation. They are hard because of everything around it.

Finding participants, sending invites, scheduling calls, chasing replies, creating Zoom links, tracking who joined, and then turning hours of talk into something clear. If you run interviews often, you know how quickly this becomes a full time job.

So we built Askiva.

What is Askiva?

Askiva is an AI powered research interview platform. It helps teams run interviews end to end and turn conversations into structured outputs.

Askiva is not only about transcription. It is about the whole workflow. From outreach and scheduling to the interview on Zoom, and then to transcripts, themes, and summaries you can share with your team.

It is built for UX research, marketing research, customer feedback and VoC, academic studies, and other interview based projects.

Why this matters now

Teams want to move faster, but research has not scaled well for most companies. The demand for insights grows, but the process stays manual.

Many teams face the same questions:

• How can we do more interviews without hiring a bigger research team?

• How can we keep interviews consistent across different interviewers and markets?

• How can we turn raw conversations into clear insights without losing days?

This is where automation helps. Not by replacing real learning, but by removing the slow admin work that blocks it.

What Askiva helps you do

Askiva helps you launch a study quickly. You define your goal and your questions or topic, then invite participants and schedule sessions with less back and forth.

When the meeting starts, the interview runs on Zoom with an AI interviewer. It follows your structure and keeps the conversation on track. If something is unclear, it can ask a follow up question.

After the session, you get an accurate transcript. You also get themes and a short summary, so you can spot patterns faster and share learnings in a clean format.

Askiva can run 24/7 and can support high volume research when you need to scale.

A simple example

Imagine you want to run 25 interviews for a new onboarding flow. You want to understand where people get confused, what they expect, and what makes them trust the product.

With a normal process, your time goes into scheduling, reminders, and notes. With Askiva, you can spend more time reviewing themes and making decisions. You still stay close to users, but you reduce the busywork that slows research down.

Now imagine doing this every month, or across different countries and languages. That is the kind of workflow Askiva is built for.

How we work today

Askiva is currently available through demos and pilots. We do not have a public sign up flow yet, because we want to fit real workflows and learn from real teams.

A pilot is a short project, usually two to four weeks. You run real interviews, review the outputs, and measure the impact on speed and clarity. If it works, you continue.

If your team runs interviews, this is for you

Askiva is useful for teams that run interviews regularly and want a cleaner process:

• UX and product teams doing discovery, usability, and concept tests

• Marketing teams testing messaging, pricing, and positioning

• Customer success teams building a steady Voice of Customer program

• Academic and social science researchers collecting qualitative data

• Teams working in sensitive environments that need a clear process

If you want to run more interviews with less manual coordination, Askiva can help.

Request a demo

If you are curious, request a demo and tell us a bit about your workflow. We will schedule a short walkthrough tailored to your needs. We usually reply within 24 hours.

Request a demo: https://askiva.io/request-a-demo