Sales & offers
Inquiry qualifier
"Hi, roughly what would something like this cost? Cheers, Markus." – Inquiries like this aren't bad inquiries. They're good ones – but half the information is missing.
Inquiry qualifier
01Inquiry qualifier
Today that means: write back, ask, wait, ask again – and after a week of email ping-pong no one still knows whether a quote is worth it. The qualifier pulls those rounds forward: it asks the prospect the right follow-up questions at the right moment – what exactly, where, by when, which photos help? – and delivers your team a structured brief instead of a three-liner. You see at a glance what it's about, what's missing and whether the inquiry is a fit. You still make the decision – just with everything on the table.
For context: the qualifier is the counterpart to the inquiry router – the router points visitors the way BEFORE the inquiry, the qualifier prepares the inquiry FOR your team. And it decides nothing on its own: no automatic prices, no automatic rejections. With sensitive data (health, staff) the data-protection concept belongs in the project scope.
02Demo
Three inquiries as they arrive daily. On the left the original – on the right what your team gets instead, after the qualifier has asked the right follow-up questions.
03How it works
- 01
Understand your inquiries
Which kinds of inquiry come in, and which information do you really need per kind for an assessment? Usually four or five must-haves – they're just never in the first email.
- 02
Shape the follow-up questions
The questions are phrased the way your customers speak – short, concrete, with examples. Whoever can upload a photo doesn't have to describe anything.
- 03
Set the brief format
How should the result reach you? A structured email, an entry in the CRM, a card in the project tool – the brief adapts to your process, not the other way round.
- 04
Build it in and wire it up
The qualifier becomes part of your website or inquiry process. Incomplete inquiries are completed politely rather than rejected.
- 05
Sharpen on real volume
After the first weeks it shows where prospects drop out or what's still missing. Questions and brief get adjusted – until the team says: this we can work with.
04Stages
The entry point can do without AI – and already solves most of the problem.
Entry: the guided form
Structured required fields plus a clean email brief to the team. Without AI – and still the follow-up ping-pong disappears.
Extended: thinking follow-up questions
A language model spots gaps in free answers, asks targeted follow-ups and pulls everything together as a brief – with a first read on urgency.
Full build: wired into the system
CRM connection, file uploads with a data-protection rule, a prioritisation overview – the qualifier becomes part of your toolchain.
05Technical implementation
- Front end to taste: guided form, chat or step-by-step wizard – in your website, in your design.
- The back end stores structured fields and generates the brief from them – not a chat transcript but a readable document.
- From Tier 2 a language model asks follow-ups on gaps and writes the summary; the required-field logic stays rule-based.
- Handover to where you work: email, Airtable, CRM (e.g. HubSpot, Pipedrive) or project tool.
- File uploads (photos, plans, documents) only with a clear storage and deletion rule.
- A light score helps with sorting – it prioritises, it doesn't decide.
for context · This shows how something like this usually gets built – not how it has to be built for you. What actually fits is worked out in the project: around your existing setup, your team, and what stays easy to maintain.