Built Logic

See what AI can do

Customer survey results to a better star rating

We take off your hands: working through survey results, reviews and complaints to see what drives your star rating, and asking happy buyers for reviews.

You get: a breakdown of what drives your star rating by site, with themes across surveys and complaints, for your sales and customer care director.

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The problem

Our star rating is slipping and we don't know which sites or issues are causing it.

How the steps join up

It starts when: the monthly customer satisfaction survey results arrive.

  1. Ask clients how the job is going at key stages and flag any concerns

  2. Find out what is driving your customer satisfaction star rating

    Your team checks and decides at this step.

  3. Find the themes that keep coming up in client feedback

  4. Find repeat defects across plots, house types and trades

  5. Learn from published New Homes Ombudsman decisions to improve complaint handling

  6. Ask satisfied clients for reviews and testimonials at the right moment

What you end up with: The company knows what drives its star rating by site, sees themes across surveys, reviews and complaints, links them to repeat defects and ombudsman lessons, and turns happy buyers into reviews.

Who signs it off: Your sales and customer care director decides which sites and teams need action and which issues to fix first.

What it needs to work

  • Access to survey results and comments

If those aren’t in place yet, you’ll hear that before anything gets built.

Who it’s for

  • Developers and housebuilders

Where this joins up

What would this cost for your team?

Answer questions about your company and how this work runs today. You see an indicative estimate of the hours back, what that time is worth and the price when you send your details.

Get a price for this

Or check first: Are we ready for AI?