Compare Answers Across Interviews

Put the same question to every interview in a project and see side by side what each participant said, with quotes and times to check.

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Recordings are encrypted in transit and at rest and are not used to train AI models. Privacy · Security

See How Everyone Answered the Same Question

After a round of interviews you start to notice that people are saying similar things, or that two of them clearly are not. Proving it means opening every transcript to the same question and writing down who said what.

Put the interviews in one folder and ask. ScreenApp answers from all of them and gives you each participant’s position, a short quote and the time. It describes what was said. It does not code your data or decide what the differences mean.

One Question, Many Interviews

ScreenApp has one AI chat that searches and answers from every recording in your library, or a single folder.

Participant by Participant

Ask for a line per person so answers sit side by side.

Every Answer Has a Source

In ScreenApp, clicking a moment in the transcript jumps the player to that point in the recording.

Notes You Can Take Away

Copy the answer, or export transcripts as PDF, DOCX, TXT, SRT and VTT.

How the Comparison Works

Gathers

It reads all the transcripts

The chat searches the folder you choose and pulls the passages that answer your question from each interview.

Compares

It lines up the answers

You get one entry per participant, and a note where answers agree or differ. Checking each against the audio is your step.

What You Get Back

The speakers, quotes and times in this table are made up for the example, and real results depend on your recording.

ParticipantPositionQuoteTime
P01Supports the change”It saves me real time every day.”14:10
P02Neutral”I have not noticed much difference.”09:35
P03Opposes the change”It added steps nobody asked for.”22:48

How to Use It

  1. Add the interviews. Upload them together, or use a folder you already have.
  2. Ask the same question of the folder. Choose the folder in the chat, then type your question.
  3. Check and follow up. Open the moments, then ask who agrees and who does not.

What You Can Do With It

Compare across participants

See how each person answered a key question without opening every file.

Compare across groups

Keep each group in its own folder and ask both the same question.

Prepare a readout

Collect positions and quotes for a stakeholder summary.

Find the outliers

Ask who disagreed with the majority, then listen to why.

This tool is one of the research interview tools, built around a recording, a transcript and the questions you ask of it.

To pull the exact wording behind each answer, use the interview quote finder.

Questions to Ask

How did each participant describe the onboarding process? One line each with a quote.
Which participants disagreed with P03 on pricing?
List everyone who mentioned a workaround, with the timestamp.
Group the participants by whether they would recommend it, and quote one from each group.
What did only one participant say that nobody else raised?

What It Can and Cannot Do

Good at

  • Answering one question across many recordings
  • Giving a quote and a time for each participant
  • Showing where answers seem to agree or differ

Not built for

  • Coding or a theme matrix: ScreenApp does not provide qualitative coding
  • Counting participants with certainty, since AI answers can miss a mention
  • Deciding what a difference means for your study

Who Uses It

Qualitative researchers comparing participants on a research question.

UX researchers summarizing a round of user interviews.

Program evaluators checking whether sites or cohorts answered differently.

Product teams who need quick evidence from recent customer calls.

FAQ

How many interviews can I compare?

Put them in one folder and ask. The practical limit depends on your plan and the length of the recordings, so start with a small set to see how it reads.

Does it create a theme matrix?

No. It lists what each participant said about your question. It does not provide coding or theme analysis.

Can I trust the count of who said what?

Not blindly. AI answers can miss a mention or include a wrong one. Open the moments for anything you will report.

Do the interviews need speaker labels?

They help. Label each speaker with a participant code first, using click a speaker label to rename it, match it to a team member, or reassign a single segment.

Can I compare two groups?

Yes. Keep each group in its own folder and ask the same question of each.

Is my data used to train AI?

Your files are not used to train AI models, and they are encrypted with AES-256.

Real Results from Real Users

works like a charm, notes have been super helpful alongside chat function. loveeeee
KS
Katharine Suy
Chrome Web Store, October 17, 2024
nice app for important summary
S
SAHIL
Google Play, January 30, 2026

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