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Summary

Summary

Summary

Qdos are a business insurance company providing services to contractors, self-employed workers, and recruitment agencies. They are part of the leading speciality insurance group, Tokio Marine HCC.

Qdos had identified that their quote funnel was not performing and therefore required strategic advice and guidance on a series of user experience and conversion challenges they had identified, as well as an audit of their digital analytics tools to ensure they were getting the most out of them.

Over a 5-week project timeline I conducted rapid discovery, identifying the goals, issues from a stakeholder perspective, and then carried out a UX review of the quote journey, and an analytics audit.

Taking everything I had discovered I proceeded to apply the insights to a new quote funnel design for future development, as well as prioritised quick-win fixes to solve immediate pain points. I also gave recommendations on how to improve their reporting practises and getting the most out of their analytics tools.

The new journey I designed split up the policy questions, and only asked the questions that affected the price up front, leading to a new Quote summary page. After the customer was ready to proceed, they would then answer the additional questions and checkout. This streamlined journey would reduce the time taken to obtain a full quote, and reduce the cognitive load throughout the policy questions, resulting in a more efficient journey that I hypothesise would increase conversion.

Qdos are a business insurance company providing services to contractors, self-employed workers, and recruitment agencies. They are part of the leading speciality insurance group, Tokio Marine HCC.

Qdos had identified that their quote funnel was not performing and therefore required strategic advice and guidance on a series of user experience and conversion challenges they had identified, as well as an audit of their digital analytics tools to ensure they were getting the most out of them.

Over a 5-week project timeline I conducted rapid discovery, identifying the goals, issues from a stakeholder perspective, and then carried out a UX review of the quote journey, and an analytics audit.

Taking everything I had discovered I proceeded to apply the insights to a new quote funnel design for future development, as well as prioritised quick-win fixes to solve immediate pain points. I also gave recommendations on how to improve their reporting practises and getting the most out of their analytics tools.

The new journey I designed split up the policy questions, and only asked the questions that affected the price up front, leading to a new Quote summary page. After the customer was ready to proceed, they would then answer the additional questions and checkout. This streamlined journey would reduce the time taken to obtain a full quote, and reduce the cognitive load throughout the policy questions, resulting in a more efficient journey that I hypothesise would increase conversion.

Timeline

From early discovery to AB test launch in 5 weeks, whilst working on a backlog of other projects.

Background

This project was part of a continuous optimisation/growth initiative at BOXT, a roadmap of which I managed and delivered. Continually testing improvements to core parts of the funnel was our remit, and we achieved this by using a data-driven approach to areas to target.

We identified the PLP as a huge opportunity to unlock growth, as it was a high trafficked step, but had one of the highest hard drop-off points of the entire user journey. Unlocking even just 5% improvement in progression to Checkout could lead to huge revenue gains.

I had planned to release this Price Anchoring feature as a server-side AB test, where we could monitor core metrics such as progression rate, product performance, AOV, and conversion rate. The goal was to improve the over conversion rate of the funnel, but also increase the share of sales of particular boilers.

Qdos are a business insurance company providing services to contractors, self-employed workers, and recruitment agencies. They are part of the leading speciality insurance group, Tokio Marine HCC.

Qdos had identified that their quote funnel was not performing and therefore required strategic advice and guidance on a series of user experience and conversion challenges they had identified, as well as an audit of their digital analytics tools to ensure they were getting the most out of them.

Over a 5-week project timeline I conducted rapid discovery, identifying the goals, issues from a stakeholder perspective, and then carried out a UX review of the quote journey, and an analytics audit.

Taking everything I had discovered I proceeded to apply the insights to a new quote funnel design for future development, as well as prioritised quick-win fixes to solve immediate pain points. I also gave recommendations on how to improve their reporting practises and getting the most out of their analytics tools.

The new journey I designed split up the policy questions, and only asked the questions that affected the price up front, leading to a new Quote summary page. After the customer was ready to proceed, they would then answer the additional questions and checkout. This streamlined journey would reduce the time taken to obtain a full quote, and reduce the cognitive load throughout the policy questions, resulting in a more efficient journey that I hypothesise would increase conversion.

The solution

The solution

The solution

Being an insurance product, the questions that a customer has to answer to get a quote were very detailed and were confusing at times. Within journeys like this, finding the sweet spot between too much information and too little is key, as a user's cognitive load can become overloaded very easily.

The existing quote journey took the approach of trying to ask every detail upfront before giving a final price, even if those details didn't affect the price. It was clear that users were becoming overwhelmed, as the funnel progression showed high drop-offs on the question heavy steps, and customer agents reported customers struggling with these steps. In addition to the questions, customers were asked to agree to lengthy legal declarations, sometimes with 15+ bullet points.

Drop off percentages not shown to protect the client's funnel data.

The solution was to split the journey into sections:

  1. User login up front (previously half way through the journey)

  2. Policy questions (these affect the price)

  3. Quote summary - a new page that summarises the price and policy details

  4. Information gathering questions

  5. Checkout

This new journey would only ask the questions that affected the price upfront, reducing the time taken and cognitive load on the user to obtain a quote.

After obtaining a summary of their quote on the new quote summary page, a customer would be able to tweak certain aspects of their policy and see their price change in real-time. This would solve issues of a user having to go back-and-fourth in the journey to tweak parts of their policy to see how it would change the price, and give an anchor for saved quotes to return to.

After continuing, this is when the further information gathering and declarations would be presented so that a customer could purchase and activate their policy.

Quote summary designs

Quote summary designs

Quote summary designs

ITERATION 2

This iteration used an existing pattern found on the website to house the quote price, creating a visual centrepiece. It also enabled the customer to edit the policy information directly, seeing the price change in real-time (an existing pain point on the current journey).

ITERATION 3

This final iteration made more use of the vertical space on the quote summary page for mobile, displaying all the customer needed to know above the fold. Quick links enabled a customer to jump to their breakdown, edit their policy, or proceed.

Other design changes

Other design changes

Other design changes

Across the entire quote funnel my designs considered all the UX issues I had uncovered in my UX review, analytics review, and stakeholder insights, as well business requirements.

Some examples of these include:

  • Customer login was at a mid-way through the journey, however by moving to the beginning we could auto-populate a customer's details and merely ask them to confirm, saving time.

  • The customer was overloaded with all questions up front. I split these up those only the questions that change the price were included up front, and then once a customer was happy with the price, the information gathering questions were presented.

  • Ability to save their quote and come back to it later

  • Improving contextual help by adding in clear "Why we're asking this" inline links

  • Better messaging when there are linked products added to the quote when bundled products were added

  • Not showing 15+ bullet point legal declarations up front, with a user able to open these in a modal and then agree to them, saving vital page space, and reducing cognitive load

  • Up-selling consultancy products at the right moment

  • Redesigning the payment page to give more trust in the brand (currently it was a third-party payment portal).


This is a short case study as the journey is still in development, so I will not divulge too much information. I can walk you through the designs and decisions taken at each stage during an interview.

Impact

Impact

Impact

The impact of my work cannot be measured quantitively as my recommendations were not implemented during the engagement. However I received very positive feedback from Qdos, and the team have gained:

  • A new quote funnel design that is developer handoff ready

  • Training on interpreting their digital analytics tools

  • A recommendations report with:

    • UX Review findings - a detailed log of the issues and how to improve them

    • Analytics review findings - funnel progression insights, main drop-off points, and how to improve reporting

    • Impact projections for improvements - where to focus to make the most impact

The new quote funnel is currently in development as of early 2026.

UX issues identified

32

UX issues solved with new design

75%

ITERATION 1

This iteration was using existing components from the Qdos journey, and adding an edit state into policy information editing. Client feedback was that they wanted more of a visual identity for the summary page.