The method's continuous improvement stage repeats four steps: plan, build, learn and transfer. In planning, the team picks a focus metric and the ranked work it expects to move that metric. A cross-functional team builds the work. The team then studies the results, and it passes what it learned to marketing, sales and service.
For the installer, the focus metric is the share of booking-page visitors who book an assessment. The team takes one idea from the wishlist: show a typical price range above the booking form. It builds the change, publishes it and watches the number.
What the team can conclude depends on how it measured. Comparing the month before with the month after shows whether the rate changed. It doesn't show why, because a seasonal rise in interest or a new ad campaign would move the same number. A split test deals with that by showing two versions to visitors over the same period. HubSpot's page A/B test sends half of a page's visitors to each version, and it's available on Content Hub Professional and Enterprise. A split test still needs enough visitors to separate the two versions, so a cycle can end before the test has an answer.
Suppose more visitors book once the price range appears. That result fits what customers said in the interviews, and the transfer step passes both observations to the sales team. Reps can then bring up price at the start of the assessment call. If bookings don't move, the team has a reason to revisit its assumption about price and try a different idea in the next cycle. We go further into this step in turning user insights into hypotheses and experiments.
The method's overview models 14-day sprints. Lean Labs runs 30-day sprints and picks each sprint's work from page behavior, form results, CRM lifecycle data and sales feedback. The sprint is a period for planning and budgeting the work. A test doesn't have to finish inside it and can run across more than one.