Anjin Media

Solutions for research teams

Bring the customer's voice
into the decision.

Find relevant experiences across selected interviews and compose evidence that colleagues can watch, understand and verify against the original recording.

One video or an entire archive.

Customer research product demonstration

How it worksSOURCE GROUNDED
01 / INPUT

Selected research interviews, approved participant labels and one precise research question or decision.

02 / ANJIN

Anjin searches timed transcripts, separates speakers and proposes a theme-led evidence composition.

03 / RESULT

A reviewable evidence reel with participant labels, source ranges and contrasting perspectives where requested.

What is AI video editing for customer research?

A source-grounded video retrieval and composition workflow supporting, not replacing, qualitative analysis.

Anjin retains transcript timing, speaker labels and source provenance. It does not manage participant consent, research sampling or analytical conclusions; those remain the research team's responsibility.

Controls and evidence

See what the system used and produced.

Useful automation leaves something a person can inspect. Anjin keeps the edit connected to its brief, source media and output settings.

CUSTOMER RESEARCHVERIFIABLE OUTPUT
research question
State the decision or theme the recorded evidence should inform.
source set
Select one to four relevant interview sessions for each composition.
representation
Request supporting, contrasting and qualifying perspectives explicitly.
traceability
Return from each planned quotation to its full interview context.

Why it matters

More control, less timeline work.

01

Make evidence watchable

Give stakeholders concise access to recorded customer experiences without sharing hours of raw sessions.

02

Preserve the source trail

Keep participant, session and timecode attached to every proposed moment.

03

Separate evidence from inference

Compose what participants said while leaving interpretation and conclusions with the research team.

Fit and boundaries

Use the capability where it genuinely helps.

Anjin is strongest on speech-led recorded material where the editorial job can be described clearly and every selected moment needs to remain verifiable. It supports human judgement with searchable evidence, a reviewable plan and structured outputs.

A strong fit

Recorded knowledge with a story inside it

Interviews, podcasts, webinars, discussions and archive programmes benefit when the useful material is distributed across a long recording or several selected sessions.

Keep elsewhere

Final craft and image-led montage

Detailed colour, sound design, motion graphics and wordless visual storytelling remain finishing tasks for a professional editor and their preferred creative tools.

Evaluation checklist

What should you verify before adopting customer research?

CHECK 01

research question

Confirm that the workflow exposes this clearly: state the decision or theme the recorded evidence should inform.

CHECK 02

source set

Confirm that the workflow exposes this clearly: select one to four relevant interview sessions for each composition.

CHECK 03

representation

Confirm that the workflow exposes this clearly: request supporting, contrasting and qualifying perspectives explicitly.

CHECK 04

traceability

Confirm that the workflow exposes this clearly: return from each planned quotation to its full interview context.

Questions about customer research

Can Anjin analyse qualitative research?
It can retrieve and compose recorded evidence around a precise brief. It does not replace sampling, coding, interpretation or researcher judgement.
Can it search across several interviews?
Yes. One composition can use up to four selected source groups while preserving the source of each result.
Does Anjin manage participant consent?
No. The organisation remains responsible for consent, access, retention and permitted use.
Can stakeholders verify selected quotations?
Yes. Cut plans retain speaker and source timecodes so reviewers can inspect the original context.

Use customer research in your next edit.

Start with footage you already have and a clear description of the result you need.

One video or an entire archive.