Famla Collect

The form that thinks.

The same interview, tailored to every person in the room.

You need answers from everyone.
But not every form works for everyone.

You work in an organisation and you need to collect information from people across different roles. Here is what usually happens.

Choice A

One generic form

Same questions for everyone. In theory, efficient. In practice, a Finance question lands on a shop floor operator. People disengage. You spend hours making sense of inconsistent answers.

Questions written for no one in particular
Low completion rates
Manual analysis of messy output
Choice B

One form per profile

More relevant for each person. But now you are maintaining 10, 15, 25 different forms. Different versions, different links, different outputs to aggregate. Managing the forms becomes the job.

Weeks to design and approve
No dynamic logic or follow-up
Aggregating outputs is a project in itself
Choice C

Famla Collect

One setup. The AI adapts the conversation to each participant automatically — their role, their answers, their context. Structured output across every profile without building or managing a single form.

Set up once, works for every profile
Adapts in real time to each participant
Insights delivered, not raw data
Setup

Describe your objective. AI drafts the interview.

Tell Famla what you are trying to learn and who the participants are. The AI proposes a complete, structured questionnaire in seconds. You review, adjust if needed, and launch. No form builder. No question logic to configure. No design work.

New Collect — Setup

Identify improvement opportunities across our Order-to-Cash process from teams in Finance, Operations, and Customer Service.

AI is generating your interview
1What part of the order process takes longest in your team?
2How do you handle order exceptions today?
3What manual steps could be eliminated with better tools?
4How often do you receive incomplete order information?
Adaptive logic

Every participant hears only what matters to them.

A shop floor operator never sees a treasury question. A CFO never gets asked about shift handover. Famla reads the role and the answers, and adapts in real time. When someone gives a rich answer, Famla probes deeper — automatically. Just like a skilled interviewer would.

Famla Collect — Interview
Operations ManagerCFOCustomer Service LeadShop floor
Role-aware question
What manual steps in the order fulfilment process cause the most delays for your team?
Chasing approvals from Finance takes up most of our time — sometimes 2 days just waiting.
Adaptive follow-up
How many orders per week are held up waiting for Finance approval, roughly?
Voice & text

Type or speak. Collect meets people where they are.

Participants answer via text or voice, on any device, at their own pace. In voice mode, people say more and spend less time doing it — the experience feels closer to a conversation than a survey. Higher quality answers, higher completion rates, no scheduling required.

Famla Collect — Response
Text
Voice
"The biggest issue is that we have no visibility once an order leaves our system — it disappears into the logistics team and we only hear about it if something goes wrong..."
Output

Insights delivered. Not raw data.

Famla structures, categorises, and prioritises everything automatically. Output is organised by theme, function, and impact — ready to act on. No spreadsheet to clean up. No manual analysis. No follow-up interviews to make sense of what people said.

Famla Collect — Insights
Order-to-Cash — 47 responses3 functions · 5 themes
Approval bottlenecksHigh impact
Mentioned by 38 of 47 respondents. Average delay of 1.8 days per order waiting for Finance sign-off.
Visibility after dispatchMedium impact
No real-time tracking once orders leave the warehouse. Customer Service escalations spike on day 3.
Manual data re-entryQuick win
Orders copied manually from email into ERP. Estimated 40 min per day per operator.
Flexibility

Works inside Famla. Works on its own.

Famla Collect is a standalone tool that integrates naturally with the rest of Famla when you need it. Use it to identify which areas need improvement before mapping starts, to enrich existing process maps with timings and volumes, or run it entirely independently for any data collection need.

Famla Collect — Use modes
Upstream
Identify what to map
Surface improvement areas and priorities before any process mapping begins.
Downstream
Enrich existing maps
Add timings, volumes, and frequencies to process maps already built in Famla.
Standalone
Collect anything, anywhere
Run independently for audits, assessments, onboarding intake, or any structured data collection need.

What would you learn if you could ask everyone the right question?