Qualifying an enquiry means working out whether you can help and what happens next. Usually that is three things: what they need, where, and when. Some jobs need a couple more details before you quote or book. The point is fit, not an exam. People often cannot name the service or the cause of the problem. A good process can record “not sure” and send it to someone who can judge.
Ask only what changes the next step
Start with what they want help with. Their own description usually beats a dropdown of service names. Then find out where the job is, and whether the timing matters.
Every extra question needs a reason. A cleaner needs to know whether the home is occupied or empty. A photographer needs the date before talking availability. An accountant needs a rough idea of the business before picking the right first meeting.
For each question ask: what decision does this answer change? If it only matters after the appointment is agreed, collect it later. A short first exchange should reach a next step, not complete the paperwork.
Example: a useful first conversation
A fictional exchange for a domestic cleaning business. The customer writes: “I need help getting a flat ready. I’m not sure which clean to book.”
“Is anyone living in the flat, or is it empty between tenants? Which area is it in?”
“It’s empty, in Falkirk. There’s building dust, but I don’t know if that needs a specialist clean.”
“That needs a proper look before we suggest a service. I’ll pass your description to the team. When do you need it ready?”
The enquiry is uncertain, not unsuitable. Someone can now assess it. Nobody sold a standard clean before knowing whether it would do the job.
Compare that with a form demanding a full inventory, floor area, budget and an account before it explains anything. Some of that may matter later. All of it up front needs justifying. The problem is not length. It is relevance and timing.
Clear rules, not brittle ones
A good rule is one you can apply the same way every time. “We cover these areas for this service” beats “local work only”. “This appointment is a first discussion, not advice” draws a line a customer can see.
But plenty of cases are borderline. A postcode on the edge of your patch needs someone to weigh the drive. A customer with no budget in mind needs the pricing process explained. Missing information is not proof of a bad fit.
Split the clear from the unclear. Suitable enquiries go down the agreed route. Things you genuinely do not do get an honest answer. Uncertain ones get a person, not a forced yes or no.
Write down the real reason for a decision. “Outside current service area” is useful when you review the area later. “Bad lead” tells you nothing, and can hide a wrong assumption.
Ask for no more than you need
Do not collect personal details on the off-chance. The ICO’s data-minimisation guidance says personal information should be adequate, relevant and limited to the purpose.
So a first chat about an accounting appointment can settle the broad service without anyone pasting financial documents into a chat window. When you do need sensitive details later, use the proper route for them.
Explain why you need anything that is not obvious. Keep access to enquiry records sensible and agree how long you keep them. A form or assistant must not quietly build a second pile of data nobody manages.
People, forms and AI follow the same rules
A person can ask follow-ups and spot an odd case, but still needs clear service boundaries. A form collects standard details fast, but must let someone describe a situation the options do not cover.
An AI assistant can read varied wording and ask for what is missing. It can also get it wrong. Review the uncertain cases and sample its decisions. Customers need a way to correct it and reach a person.
Job Growth Lab includes enquiry qualification in its services. You define what you help with, who handles exceptions and what the next step means. The questions, channels and automatic actions get agreed and tested for your setup.
Review the decisions, not just the count
Record why enquiries went ahead, waited, or did not fit. Check a sample against the original conversation. If good enquiries are being turned away, fix the criteria before paying for replacements.
A better “suitable” percentage only means something if the definition held still. Tighten the filter and the number improves while the work disappears. Watch bookings, completed jobs and how the awkward cases went.
Check your first questions
- Does each question change the next decision?
- Can customers say “I’m not sure” in their own words?
- Are sensitive details asked for only when needed?
- Who reviews the unclear ones and checks what you turned down?