Customer interview synthesis
Customer conversations get recorded and rarely revisited. This agent reads across your interview notes and call summaries, groups what customers actually said into themes, and keeps the quotes attached so a theme can be checked rather than taken on trust. Product and success then argue from the same evidence.
Step by step
Collect the notes and transcripts
Interview notes, call summaries and structured feedback are gathered from where your team already stores them.
Read each conversation separately
Points are extracted per conversation, with the speaker's role and the account attached.
Group the points into themes
Similar points are clustered, with the accounts behind each theme listed rather than merged away.
Keep the quotes attached
Every theme carries the sentences it came from, so a strong claim can be traced back to a real customer.
Separate signal from single voices
A point raised by one account is kept and labelled as such rather than promoted into a trend.
The team reviews before it travels
Themes are reviewed by the person who owns the research before they are shared with product or leadership.
Exactly what this agent can see, touch and change
The same five controls sit behind every Askollo agent. These are this one's settings — visible before you build it, not buried in an admin screen afterwards.
Context
What reaches the modelCustomer success and product teams running discovery or feedback programmes, where the notes pile up faster than anyone can read across them.
Escalation
When it asks a personThe research owner approves the themes before they are shared beyond the team
Applications & Rights
Which tools it uses, and what it may do in each
Google DriveRead only
SlackRead only
ConfluenceRead only
NotionReadWrites newCreates new records or documents. Never edits, moves or deletes anything that was already there.Verification
How you know it’s rightEvery claim links to the document it came from. A statement the agent cannot cite does not make it into the output — which is what makes the result reviewable in minutes rather than re-read end to end.
Who it’s for
Customer success and product teams running discovery or feedback programmes, where the notes pile up faster than anyone can read across them.
What you’ll need
- Notes and transcripts in a readable location
- Consent for recording and analysis in place
- An agreed theme structure or taxonomy
- A research owner who approves
What you get
- A themed summary with supporting quotes
- A per-account feedback trail
- A list of follow-ups with owners
What it doesn’t do
It works from what was written down. It does not record calls, transcribe audio itself, or infer what a customer meant beyond what they said, and a theme built on one conversation is labelled as one conversation.
We build the first one with you
Not a template you configure alone. We sit with your team, build it on real data, and hand over the controls.
Scope
One session with the people who actually do the work. We agree what the agent reads, what it may write, and who approves.
Co-build
Built on your own data, not a sandbox. You watch it being made, so you know why it behaves the way it does.
Handover
You own the controls. Change the context, tighten the rights, move the approval gate — without coming back to us.
Parts of the work currently spread across the categories below. It does not replace any of those products outright.
Frequently asked
Do we need transcripts?
Notes are enough, though transcripts give better quotes. If you already use a recording tool, we read its output from wherever it lands. The agent does not join or record calls itself.
How do we know a theme is real?
Every theme shows the conversations and the exact sentences behind it, and single-source themes are labelled. You are meant to disagree with some of them, which is only possible because the evidence is attached.
Can product see this without CS in the middle?
Yes, once the research owner has approved a summary. We normally keep raw notes scoped to the team that gathered them and share approved themes more widely, because consent usually covers the second and not the first.
Does it handle interviews in other languages?
It reads and summarises them, and keeps quotes in the original alongside a translation. Where nuance matters we mark translated quotes clearly, so a claim is not built on a paraphrase.