MakeMyHouseGreen is an end-to-end solar installation company that provides a full technology stack to manage the entire B2C customer journey.
Sprint:
3x iterative 2-4 week sprints
Impact:
30% increase in primary conversion (sales booking)
My roles:
User Research
UX Design
UI Design
The Challenge: Navigating through complex data to a high-commitment conversion

The primary goal of our user flow is to drive high-intent customers to book a consultation with our sales team. A major barrier existed in the middle of the funnel:

Original flow from solar calculator to booking page

Original flow from solar calculator to booking page

Iterative Strategy and Learning
We tackled this problem through multiple, measurable iterations.
All iterations were A/B tested against the existing user experience. Results and learnings were defined by page tracking and recorded session replay.

V1: MVP

Key changes:
  • New summary page introduced

  • Simple design: format favours words over graphs and numbers

  • Next steps explained

  • Option to send a copy to your email address (allows us to build a high-intent email audience segment)

Results & Learnings
  • 6% improved conversion rate from calculator page to booking action

  • High bounce rate (57%) back to calculator: data is framed differently and looks new, users want to go back and check against the calculator

  • 50% of users sent themselves a copy

V2: Expansion

Key changes:
  • Improved UI: less text, easier scannability

  • Moved all data and charts to the calculator page for better information architecture (data on the calculator page, products here)

  • Improved value proposition: added trust markers and services, discounts, savings and reduced price emphasised, optional extras added

Results & Learnings
  • Conversion rate and bounce rate improved but drop-off from this page remained high

  • Hypothesis 1: the 'shopping basket' UI and total price suggested a bigger commitment than was required (i.e. buy now)

  • Hypothesis 2: customers are interpreting this page as an accurate quote

The drop-off dilemma

We hypothesised that by providing a full price breakdown, we inadvertently gave users just enough information to engage in competitor price shopping without needing to speak to our sales team. This satisfied the user's need for a "quote" but derailed the business's goal of securing a booking.

V3: Expansion

Key changes:
  • All pricing information removed

  • Retained all non-pricing details (products and discounts)

  • Customers can still email themselves a copy

Results & Learnings
  • Conversion rate increased by 30% over a 4-week period

  • Creating a value gap gave customers an incentive to speak to us

  • Email segment performs with 14% higher CVR compared to main audience (who are captured before solar calculator)

Key insights and impact
This project demonstrates the ability to drive significant business impact through strategic design and data-driven iteration: