Case study · Timber homes and cabins
MF Timber House
A quote form that qualifies the customer before anyone picks up the phone
MF Timber House builds timber homes, log cabins and garden rooms across Ireland, with 13 models from €14,500. We built a website whose quote form asks the hard questions up front, so every sales call starts with the facts.
- Client
- MF Timber House
- Location
- Dublin, nationwide
- Industry
- Timber homes and cabins
- Scope
- Website + qualifying quote form + CRM
- Stack
- Next.jsQualifying quote formDolibarr CRMProduct pages
01The problem
In timber homes one enquiry can be worth tens of thousands of euro, or nothing. The difference usually only shows on the phone: the customer has no site, no budget, or is "just looking".
With a dozen enquiries a month, the owner was spending hours on calls that never had a chance of becoming a project.
02What we built
01
Questions that qualify
Model, intended use (home, garden office, guest house), budget range, planned timing and whether the customer already has land. The question about land decides almost everything in this industry.
02
Friendly, not pushy
A customer with a budget and a site answers in seconds, because they want a real quote. Someone who is years away tends to stop on their own, which is the point.
03
Enquiries become CRM records
The form sends a structured record to Dolibarr CRM with every answer attached, so the team can see the stage of each enquiry and when to follow up.
04
Model pages with prices
The most requested models are shown with sizes and prices including VAT, delivery and assembly, which filters enquiries before the form.
03How an enquiry moves
Step 01
Customer picks a model and use
Step 02
Answers budget, timing and land questions
Step 03
Record created in Dolibarr CRM
Step 04
Sales call starts from the answers
Screens from the live site
Measured performance
97
Performance
96
Accessibility
100
Best practices
100
SEO
2.5 s
Largest contentful paint
444 KiB
Page weight
Lighthouse 12, mobile, simulated slow 4G, measured on 7 November 2026. Scores change as the client edits content.
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