Qualiask · AI interview research

Interviews that follow up.Ready for more people.

Individual interviews take time and people. Surveys are easy to share, but rarely follow an unexpected answer further.

Let participants talk with an AI interviewer in their own time. Hear specific experiences without attending every conversation, then explore the material around your research question.

The studies, people and analysis results below are fictional examples illustrating how Qualiask works.

Hear more people's experiences

One plan. Conversations that take their own paths.

Share a link and let many people participate at once. Guided by your research goals, AI follows each person's answers, helping a broad comment unfold into a specific experience.

Interview example · Two independent conversationsYou invite the people · Qualiask hosts each interview

Welcome event · Interview AIndependent interview · Fictional

AI interviewer

Thinking back on the event, which part stands out?

Participant

The discussion at the end. I had a question but never asked it.

AI interviewer

Could you tell me what was happening then?

Participant

People kept talking and I couldn't find an opening. I wanted to ask how a team of two or three could use the method. Then the event ended.

Welcome event · Interview BIndependent interview · Fictional

AI interviewer

Was there anything you still wanted to understand afterward?

Participant

Yes, but it wasn't something I wanted to ask in front of everyone.

AI interviewer

You don't need to share private details. What way of talking would suit you better?

Participant

It was about my own situation. I'd be more willing to ask one-to-one afterward, or write it down first.

Follow-ups develop from each person's answers, bringing specific experiences into view.

Quick responses, within the conversation

Sometimes a tap is enough to keep talking.

AI can offer choices based on the conversation to help people recall, compare or choose what to discuss first. Tap when a short response fits; explain in your own words when there is more to say.

Which response formats are supported?

Single and multiple choice, scales, numbers, ranking and open text. The format follows the question, with room for free expression.

Continue interview A

Interactive illustration · Preset follow-up questions

Participant

“People kept talking… I wanted to ask how a team of two or three could use the method. Then the event ended.”

Which part of what you just mentioned would you like to explore first?

Finding an openingThe small-team questionAfter the event

Or just type your own answer below.

Prepare around your question

Start with a question you're still figuring out.

These interviews begin with a research plan you prepare with AI. In your browser, clarify whom you want to understand and what decisions the study should inform, bringing the background, ideas and methods you already have.

Student activities / Welcome event

Fictional study · Discuss the purpose and shape a plan you can keep editing.

You

I want to know how the welcome event went.

Qualiask

Which decisions about the next event would you like this study to inform?

You

What content to cover, and how to arrange discussions so people can raise their questions.

An interview plan, developed together

Start with specific experiences

Expectations and questions before attending
Experiences and opportunities to speak
Unresolved questions and further needs

The plan gives direction. Follow-up questions develop from each person's answers.

Another way in · MCP

Start with the agent you already use.

Let your agent use material you authorize to prepare and update a cloud study. Qualiask then hosts the interviews.

See a local-agent example

“Use the event schedule to add questions about speaking in the small-group discussion.”

Write the prepared changes to Qualiask. There is no need to upload your entire local collection or chat history.

Before a real study begins

Understand experiences. Handle identity with care.

Explain the study's use, identity visibility and withdrawal before participation. Interview material is de-identified before researchers read and analyze it.

Participation, identity visibility and material access each follow their applicable settings and permissions.

De-identification illustration · Fictional material

I'm Alex Lin. People kept talking in the discussion. I couldn't find an opening.

I'm [participant]. People kept talking in the discussion. I couldn't find an opening.

About anonymity and withdrawal

Anonymity depends on study settings; de-identification and identity visibility are different rules. Withdrawal deletes the interview and its individual analyses. Existing aggregate reports remain. This example only illustrates a name replacement, not a guarantee that every identity clue is unrecognizable.

Once the interview material comes back

A shared focus. Room for individual differences.

Once interviews are collected and de-identified, what do you want to understand? Develop an analysis perspective with AI, then apply it to selected interviews. Keep the evidence and open questions for each experience, and revisit the material from other perspectives.

Analysis example · Design the approach, then apply it in a batch

Welcome event · Analysis perspective: Experiences of speaking

You

I want to understand whether people had a chance to say what was on their minds.

Qualiask

Look at what they wanted to express, the situation and what happened. Keep the evidence and distinguish what is known from what needs further exploration.

You can also create perspectives such as “Unmet needs” to read the same material again.

Perspective: Experiences of speaking

Apply to these interviews

Welcome event · Interview A

Welcome event · Interview B

Shows prewritten examples; no real analysis runs.

One perspective · A separate result for each interview

Welcome event · Interview A · Fictional result example

Had a question, but couldn't find an opening.

From the material

Wanted to know how a team of two or three could use the method. Others kept speaking, and the question went unasked.

Still to explore

Were other ways of asking available or attempted?

Welcome event · Interview B · Fictional result example

Had a question, but preferred not to share personal details publicly.

From the material

The question concerned personal experience. The participant explicitly preferred a private conversation or writing the question down.

Still to explore

How could those ways of communicating be offered so this participant would use them?

Keep the evidence for each interview, with questions that deserve further exploration.

Bring material together around a new question

Choose material to analyze together around your question.

Combine relevant existing results across studies, interviews and analysis perspectives. Compare what they share, how circumstances differ and what still needs a follow-up.

Keep building within one project, maintaining background and adapting existing research plans as studies accumulate.

Synthesis example · Choose the material to compare

Example material: welcome-event interviews A and B, and workshop interview D.

Interview	Speaking	Unmet needs
Interview A
Interview B		—

Interview	Speaking	Unmet needs
Interview D

The question this time

What should change at the next event?

What helped people speak, and which needs remained unanswered?

2 studies · 3 interviews · 5 analyses

Change the selection to update the prewritten findings below. No real analysis runs.

Explore the example material and analysis basis

Each cell is an existing individual analysis. Perspectives with the same name in different studies retain their own analysis instructions.

Selected results, their analysis methods and the research designs used at the time form the basis for this synthesis.

“Taking turns in the group gave me room to finish explaining my question. But I'm still unsure what to try first afterward.”
Workshop · Interview D · Fictional material

Synthesis findings · Prewritten example

Room to speak does not always mean a clear next step.

Having room to finish speaking

Welcome-event A couldn't find an opening. Workshop D said taking turns helped them finish their question.

Finding a suitable setting

Welcome-event B preferred private or written communication. More public Q&A time may not meet the need to discuss personal matters.

Getting practical help afterward

A wanted to apply the method in a small team. D had spoken but still lacked a first step. Both accounts leave practical questions open.

Explore possible improvements from the example

Make room for each person to speak in small groups, then explore whether that arrangement helps different participants.
Offer written or private questions so people have a way to discuss personal circumstances.
Use concrete examples to clarify a possible first step before closing. Explore what happened in a follow-up study.

These are directions supported by the fictional material, to be explored in further research.

Longitudinal research · Planned

Build your next study on what you already understand.

The plan is for later interviews to draw on the same participant’s earlier experiences, then bring answers from different times together to explore what changed and which questions remain open.

This illustrates a planned direction. Historical context in later interviews and analysis of the same participant’s changes across rounds are not yet implemented.

Two interviews with the same participant · Fictional example

First round · Welcome-event interview A

I wanted to ask how a team of two or three could use the method, but I never found an opening. Then the event ended.

Three months later · The same participant A in a follow-up study

Historical context to draw on · Planned

Wanted to apply the method in a small team, but found no opening to ask.

Last time, you wanted to know how a small team could use this method. Have you tried it since? What happened?

We tried it once using the example and learned we could start with a small task. But with only two of us, we still haven’t worked out who handles each step.

Change analysis across studies · Planned

Before

Wanted to understand the method but had no chance to ask.

Later

Had tried it and knew how to get started.

Still to explore

How two people divide the work still needs more specific support.

Keep the material in your own workflow.

Continue in Qualiask, or export de-identified interviews, analysis results and research plans for your own agent and other tools.

Your next study

What would you like to understand next?

A group of people you want to hear from. A question you're still figuring out. Turn it into a study you can carry out with Qualiask.

Start my study

Start in your browser, or connect your own agent.