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13 February 2025 / Opinion

How to Prioritise Website Improvements on a Limited Budget

Chris Callaghan / Head of Digital

Every digital marketing leader faces the challenge of improving their website with limited resources. You know your site could work harder, but with so many potential opportunities and competing priorities, where do you focus your efforts? 

The key is objective prioritisation.  

By applying a data-informed approach to understanding opportunities and efforts, you can ensure every change you make maximises impact, while considering budget and resources.  

In this guide, I’ll share practical methods to help you prioritise website improvements strategically, even with tight budgets. 

Use a Prioritisation Framework for Objectivity

Without a clear structure, prioritisation often falls victim to stakeholder opinions, loudest voices, or internal biases. To avoid this, start by using a prioritisation framework such as PIE, ICE, or RICE to objectively log and rank website changes based on the merits of each opportunity. 

PIE Framework

The PIE Framework has three factors by which to rank a website change or opportunity. 

  • Potential – How much impact could this change have, if implemented successfully? 
  • Importance – How critical is this change to business objectives and user experience? 
  • Ease – How much effort or cost is required to execute? 

Start by rating each website change against each of the three factors on a scale of 1-10. Next, take the average score across the three factors, and you will arrive at a PIE Score for the website change. You can now quickly and easily compare PIE scores for each of your website opportunities, with the high potential, high importance, and easy to execute changes bubbling to the top of the list. 

However, while this framework is quick to do, this process is subjective and relies on the experience and opinions of the people ranking the items. 

ICE Framework

The ICE Framework is like PIE, with its three ranking factors. 

  • Impact Similar to PIE’s ‘potential’ ranking factor, how significant will the expected result be if successful? 
  • Confidence – How certain are we that this change will lead to the expected impact? 
  • Ease – How much effort or cost is required to execute? 

Similar to PIE, by scoring each factor on a 1-10 scale, but this time summing the total score, you can arrive at an ICE score between 3 and 30 which allows you to compare the merits of one opportunity against another. 

While the PIE framework differs with its ‘importance’ factor which ties opportunities to overall business goals, the ICE framework is a little more user-centred with consideration around its ‘confidence’ factor – i.e. based on the data we have, how confident are we in the website change will make an impact? 

However, both PIE and ICE are top-level and at risk of stakeholder subjectivity. 

RICE

The RICE framework aims to remove some of the subjectivity of PIE and ICE by introducing data to its ranking factors. 

  • Reach How many people will be affected by the change or opportunity? Factor in page views by device split and where on the page you change will be. For example, for a change halfway down a single web page that receives 10,000 visitors per month, we can expect 50% of people to be affected be the change. 
  • Impact – How much impact will this website change have? Rank on a scale of 3 for Massive impact, 2 for High impact, 1 for Medium impact, 0.5 for Low impact, and 0.25 for minimal impact   
  • Confidence – How certain are we that this change will lead to the expected impact? Rank on a scale of 100% for High confidence, 80% for Medium confidence, and 50% for Low confidence 
  • Effort – How many ‘people months’ will it take to deliver the project? So, for one week of design and one week of development, this would be 0.5. For two weeks of a designer and 6 weeks of a developer, this would be 2.  

Once you have assigned your score to each factor, use the following formula to arrive at your RICE score for each opportunity. 

  • (Reach x Impact x Confidence) / Effort 

Again, you can now sort the list of opportunities to see which ones bubble to the top. 

Jaywing’s Prioritisation Model

While the ICE, PIE and RICE frameworks offer strong starting points, Jaywing’s own custom prioritisation model builds upon them by incorporating additional layers of user experience insight and data triangulation for a more objective assessment. This ensures that prioritisation is not only based on estimated ease of implementation and actual reach, but critically, confidence gained from data-informed user-centred research. 

Let Data Guide Your Decisions

Avoid making changes based on assumptions or internal preferences. Instead, fuel your prioritisation framework with user data from a range of sources to maximise the confidence in your website enhancements. 

For a cost-effective approach to user research, consider the following methods: 

  • Web Analytics (e.g. Google Analytics) – GA is free and is a starting point to identify pages with high drop-off rates along your key journeys or funnel. Look at which landing pages have the highest bounce and identify friction from ‘pogo’ behaviour where users return to previous pages. 
  • PageSpeed Insights – using this free tool, quickly see how your web page stacks up in terms of performance, with a top-line view of accessibility and SEO. Expect to find opportunities to minimise code, modernise image formats, and remove layout shifts. 
  • Heatmaps & Session Recordings (e.g. Hotjar and Clarity) – Using low cost UX Analytics tools such as Hotjar or Microsoft’s free equivalent ‘Clarity’, identify how far users scroll, which content they are exposed to, where they engage, where they don’t, and where they expect to. 
  • Call-centre & Customer Support Analysis – You likely already have a huge amount of customer data sitting in your customer service logs. Rather than assign budget to new research, start by spending some time analysing this data or shadowing your support teams to identify common customer issues. 
  • WCAG Colour Contrast Checker – this free Chrome extension will evaluate your webpage and detail all the instances where your design fails the Web Content Accessibility Guidelines (WCAG) recommendation around colour contrast and minimum font size. 
  • Guerrilla Usability Testing – While assigning some budget to moderated usability testing is a high ROI activity, and one we advocate, a ‘discount’ version of this method is to informally usability test with lookalike users you might find in coffee shops, train stations, or community groups. For a small incentive, ask them to complete some scenarios on your website and observe what they while having them think aloud.  

Though only scratching the surface, these quick and low costs approaches to user research will help provide data for your prioritisation efforts and reduce subjectivity when ranking. Prioritising with data-driven insights ensures that every change you make is based on user behaviour, and not guesswork. 

Balance Quick Wins & High-Impact Changes

With limited budgets, you must weigh the trade-off between smaller, easier tactical improvements and bigger, resource-heavy strategic initiatives. 

For example: 

Lower-Effort, Higher-Return Wins  

  • Optimising page speed and fixing broken links 
  • Improving font sizes and colour contrast for accessibility 
  • Refining CTAs and improving form UX 
  • Ensuring correct default virtual keyboards are used for mobile 
  • Optimising above-the-fold content for key landing pages 
  • Ensuring consistency of language and signposting in the navigation 

Higher-Effort, Higher-Impact Projects 

  • Redesigning key landing pages based on user research for higher conversions 
  • Implementing personalisation strategies to engage users with relevant content and experiences 
  • Enhancing site search functionality and relevant content suggestions 
  • Implementing new features and experiences  

A balanced approach ensures you’re driving both incremental improvements and long-term transformation within your budget constraints. 

Focus on Red Routes: The Most Critical User Journeys

Not all pages or features deserve equal attention. Red Route Analysis helps you identify the most crucial paths users take, ensuring you focus resources where they matter most. 

For example: 

  • E-commerce sites: The journey from product discovery to checkout, ensuring the flow from category landing page or listing page to product page and checkout is friction-free 
  • Lead generation sites: The path from landing page to form submission is friction-free and persuasive from the initial above-the-fold landing page experience, through to trust indicators and point of conversion  

Prioritising these core user journeys ensures that your website improvements drive measurable business impact. 

Final Thoughts: Smart Prioritisation Maximises Impact

When resources are limited, success isn’t about doing more – it’s about doing the right things in the right order 

By using a structured prioritisation framework, leveraging data, balancing quick wins with strategic changes, and focusing on the most critical user journeys, you can ensure that every improvement delivers real value.