Ruth Hendry: Food recalls, fishing rules, and forestry: creating an IA strategy for diverse audience needs

What is information architecture? ✏️

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According to Abby Covert, a leader in the field of information architecture, IA is ‘the way we arrange the parts to make sense of the whole.’ Information architecture (IA) is found in every digital product, from websites and apps to an intranet. 

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For the purposes of this article we focus on the importance of information architecture to user experience (UX) design because IA is fundamentally important to the success of your user experience. It determines how users will access your  content and ultimately how successful their experience is when using your product. 

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When put like this it does seem pretty straightforward. Maybe even simple? But these tasks need to be straightforward for your users. Putting thought, time and research in at the front of your design and build can help build an intuitive product. IA is the structure that sits in behind and allows the design to tell the story and the content to be found in an easy way.

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The role of information architecture in UX design 🏗️

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Information architecture forms the framework for any UX design project. You need to consider the visual elements, functionality, interaction, and navigation and if they are built according to IA principles. If not considered fully even the most compelling content and powerful user experience design can fail without an organized and functional IA design. Disorganized content can make finding your way through difficult, meaning users get lost, annoyed and frustrated. Frustrated users don’t stick around and most likely don’t come back.

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Through solving or preempting users’ issues with research and designing powerful and effective IA it reduces usability and navigation problems. Meaning that researched, thought through and designed information architecture can save both money and time for your organization in the longer term.

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What is the difference between IA and UX? 🤯

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Often it can be confusing that there isn’t much difference between IA and UX design. While these terms do relate to each other and need to be considered alongside, they are not one and the same.

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“Information architecture (IA) is the discipline of making information findable and understandable, helping people understand their surroundings and find what they’re looking for online and in the real world” - Interaction Design

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“User experience (UX) design is the process design teams use to create products
that provide meaningful and relevant experiences to users” - Interaction Design

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UX design is well grounded with good functional information architecture but that’s not where it stops. The user experience focus is on influencing users’ behaviors and actions through emotion and psychology. Information architecture is focussed on the users' goals and task completion. They work together to create the very best user experience. IA provides the foundation of a well organized space that is easy to navigate and UX design ensures that the overall experience meets (or exceeds) users’ expectations, through their wants, needs and desires.

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The key components of IA 🧱

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There are four key components to consider when building a strong information architecture:

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Labeling

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How information is named and represented. Labels need to communicate information to users without using too much space or requiring much work on the user’s part.

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Navigation

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How people make their way through information. Without robust IA which has been thought through this is the quickest way to confuse users. If they can’t find their way to the information they need, they won’t be able to complete their task. It really is that simple.

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Search

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How people will look for information (keywords, categories). A search system is especially important when there is a lot of content to wade through. A search engine, filters, and many other tools help users search content. Great UX design will consider how the information will be displayed once searched.

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Organization

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How the information is ordered. These help users to predict where they can find information easily:

• Hierarchical is the hierarchy of the content and literally the order of importance
  the user expects to see information against what the organization needs.
• Sequential Taking a stroll in your user's shoes can be valuable. Considering the path a user would take and the journey they make. Walking step-by-step, ensuring that as users progress through their tasks they are easily led to the next step.
• Matrix This is a little more complicated for users as it lets them choose how to navigate on their own. Users are given the choice of content organization. For example, the searchability of a website. Where the user could choose to search by topic, size, price or any other filter or option.

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Wrap up 🥙

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Information architecture is a key part of a powerful user experience design. Efficient IA helps users quickly and easily move through content and find what they want.  And what do users want but to find what they want, complete their task and get on with their day!

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Provide an IA that functions well, is intuitive to use and well labeled, coupled with UX design that is smooth, attractive and responds to users needs, wants and desires and you’ll have a winner on the day.

Thanks to an ever-growing digital world, businesses are spoiled for information and data. The more complex the business, the more information there is and the more complicated the business requirements are. But where there are challenges, there is opportunity. That’s where information architecture and data architecture come in.

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Information and data architecture both seek to make sense of the plethora of information a business handles. However, the two have different roles to play in the way businesses use, move, maintain, and present data - both to internal and external stakeholders. So what are they and why should businesses take note?

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Defining Information Architecture 🗺️

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Information architecture is the structure used to organize and label content on websites, mobile applications and other digital environments. Its primary purpose is to enhance user experience by ensuring information is structured in an accessible, usable and relevant way.

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Information architecture seeks to understand user needs and goals by analyzing both existing and required information, then building an information framework in a logical and user-friendly way. It deals with three main components:

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• Labels: How information is represented
• Navigation: How users make their way through the information
• Search: How users look for information

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Whilst this information sits in the background, it’s the layer upon which you build the design of your digital products.

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Information architects bring data from file systems and databases to life by building meaningful narratives and stories. Outputs can include site-mapping, information architecture diagrams and content inventories. These outputs are supported by user research techniques such as card sorting, tree testing, user surveys and first-click testing.

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Defining Data Architecture 💻

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Data architecture bridges the gap between business needs, goals, and system requirements related to data handling. It sets out a framework for managing data assets, the flow of data and the maintenance of data systems. As such, it has a slightly more macro view than information architecture and concerns itself with emerging technologies such as artificial intelligence, machine learning, and blockchain.

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Where information architecture centers around the end-user interaction, data architecture centers around practical handling and operation of data processes i.e. collection through to transformation, distribution, and consumption. Because of this, data architecture must take into account the businesses ability to scale operations, integrate with third party systems, support real-time data processes and the reduction of operating costs. Modern data architecture may point to artificial intelligence to tackle some of these challenges.

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The Importance of Enterprise Architects in Information and Data Architecture 🏗

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Enterprise architects are big-picture people. Data architecture and information architecture both fall within their remit, and they often oversee other data management job specialities within an IT department.

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As a leader (and often, visionary) within a business, enterprise architects shoulder the responsibility of ‘mission critical’ projects. As a result, they tend to have several years experience with IT systems, backed by a bachelor’s degree in computer science, IT management, data science or similar. Many will hold a master’s degree and specialty certifications.

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The role involves collaborating with senior business leaders, solution-delivery teams and external stakeholders, and requires creative problem solving and excellent communication skills. Therefore, enterprise architects very much steer the ship when it comes to information and data architecture. Combining high-level business strategy with knowledge of ‘the nuts and bolts’ of IT data systems and processes, they command an annual salary in New Zealand between $150,000 and $200,000 per annum..

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Continuous improvement within any business that has substantial IT infrastructure calls for serious investment in enterprise architecture.

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Designing and Implementing an Effective Information and Data Architecture 𝞹📈🧠📚

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Once overarching business goals are aligned with the scope of data and system requirements, information and data architecture design (or redesign) can begin.

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Crucial to the design and implementation process is developing an architecture framework. This is a set of guidelines that lays out principles, practices, tools and approaches required to complete the design. It supports system design decisions, assigns key tasks and provides project guidance throughout the design process. The framework essentially aims to unite disparate teams and maintain business and IT alignment.

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The choice of architecture design is also critical. It should consider scalability, performance, maintainability and adaptability to emerging technology. Which is why cloud platforms feature so heavily in modern data architecture. Cloud architects will navigate the architecture design and technical requirements of cloud-based delivery models, which offer the solution to those scalability and adaptability challenges. They are responsible for bridging the gaps between complex business problems and solutions in the cloud. Modern data architecture tends to involve some form of cloud delivery component.

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Throughout implementation, data and information architects will work closely with designers and engineers until testable architecture is ready. User research and testing will be carried out, and a feedback loop will commence until requirements are met. Users, as always, should be at the center of your digital product.

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Summing Up the Complexities of Information and Data Architecture 🧮

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Whilst the difference between information and data architecture can appear nuanced on the surface, they hold unique roles when delivering a cohesive, user-friendly digital product.

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Think of a sliding scale where business operations sit at one end, and users sit at the other. Data architecture addresses challenges closer to the business: aligning business requirements and goals with how data flows through the system. On the other hand, information architecture addresses the challenges related to how this data is organized and interpreted for the end user.

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At the end of the day, both information and data architecture need to work in harmony to satisfy the user and the business.

The Ministry for Primary Industry’s (MPI) customers have some of the most varied information needs — possibly the most varied in New Zealand. MPI provides information on how to follow fishing rules, what the requirements are to sell dairy products at the market, and how to go about exporting honey to Asia. Their website mpi.govt.nz has all the information.

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However the previous website was dense and complicated, and MPI’s customers were struggling to find the information they needed, often calling the contact center instead — one of several indicators that people were lost and confused on the website.

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Ruth Hendry, Head of Strategic Growth at Springload, recently spoke at UX New Zealand, the leading UX and IA conference in New Zealand hosted by Optimal Workshop, about how new IA helped MPI’s broad range of customers find the information they needed.

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In her talk, Ruth takes us through the tips and techniques used to create an IA that met a wide variety of user needs. She covers the challenges they faced, what went well, what didn’t go so well, and what her team would do differently next time.

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Background on Ruth Hendry 💃🏻

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Ruth was Springload’s Content Director; now she’s Head of Strategic Growth. She has broad experience in content, UX, and customer-led design. A data nerd at heart, she uses analytics, research and testing to drive decision-making, resulting in digital experiences that put the customer at the forefront.

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At Springload Ruth has worked on large-scale content and information architecture projects for organisations including Massey University, Vodafone and Air New Zealand. She got into the world of websites in her native UK, working on Wildscreen's ARKive project. After she arrived in Aotearoa, she spent four years looking after Te Papa's digital content, including the live broadcast of the colossal squid dissection. She's Springload's resident cephalopod expert.

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She finds joy in a beautiful information architecture, but her desk is as messy as her websites are tidy.

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Contact Details:

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Email address: ruthbhendry@gmail.com

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LinkedIn URL: https://www.linkedin.com/in/ruth-hendry-658a0455/

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Food recalls, fishing rules, and forestry: creating an IA strategy for diverse audience needs 🎣

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Ruth begins her talk by defining IA. She says, “If IA is the way information is organized, structured, and labeled, then an IA strategy is the plan for how you achieve an effective, sustainable, people-focused IA.”

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Considering this, applying an IA strategy to the Ministry of Primary Industries (MPI) website was a challenge due to its diverse user groups. MPI is responsible for a range of things, such as publishing food recalls, looking after New Zealand’s biosecurity, outlining how much fish can be caught, how to export products, and even how to move pets between countries. Needless to say, the scope of this IA project was huge.

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The current state of the website was challenging to navigate. In fact, one customer said, “It’s hard to find what you need and hard to understand”. MPI Contact Center staff often found themselves simply guiding customers to the right information online over the phone. 

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So, in solving such a massive problem, does having an IA strategy work? Ruth says yes! And it can have a huge impact. She backs up her strategy with the results of this project before broadly outlining how she and her team achieved the following improvements.

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The project achieved:

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• 37% decrease in time spent on the home page and landing pages
  • Customers found where they needed to go, faster, using the new IA and navigation elements
• 21% decrease in on-page searches
  • People could find the content they need more easily
• 53% reduction in callers to MPI saying that they couldn’t find what they needed on the website
  • Users could more easily get information online

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Developing an IA strategy 🗺️

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Ruth attempts to summarize 14 weeks' worth of work that she and her team delivered in this project.

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Step one: Understanding the business

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During this step, Ruth and her team looked at finding out exactly what MPI wanted to achieve, what its current state is, what its digital maturity is, what its current IA was like (and the governance of it), how the site got to be in the way that it was, and what their hopes and aspirations were for their digital channels. They conducted:

• Stakeholder interviews and focus groups
• Reviewing many, many documents
• Domain and analogous search
• Website review

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Step two: Understand the customers

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In this step, the team looked at what people want to achieve on the site, their mental models (how they group and label information), their main challenges, and whether or not they understood what MPI does. They conducted:

• A review on website analytics and user needs
• In-person interviews and prototype testing
• Card sorts
• Intercepts
• Users surveys
• Treejack testing

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Step three: Create the strategy

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This talk doesn’t cover strategy development in depth, but Ruth shares some of the most interesting things she learned (outlined below) throughout this project that she’ll take into other IA strategy projects.

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Why it matters 🔥

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Throughout the project, Ruth felt that there were eight fundamental things that she would advise other teams to do when creating an IA strategy for large organizations with massively diverse customer needs. 

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1. Understand the business first: Their current IA is a window into their soul. It tells us what they value, what’s important to them, and also the stories that they want to tell their customers. By understanding the business, Ruth and her team were able to pinpoint what it was about the current IA that wasn’t working.
2. Create a customer matrix: Find the sweet spot of efficient and in-depth research. When an organization has a vast array of users and audience needs, it can often seem overwhelming. A customer matrix really helps to nail down who needs what information.
3. Card sort, then card sort again: They are the best way to understand how people’s mental model works. They are critical to understanding how information should be organized and labeled. They are particularly useful when dealing with large and diverse audiences! In the case of the MPI project, card sorts revealed a clear difference between business needs and personal needs, helping to inform the IA.
4. Involve designers: The earlier the better! User Interface (UI) decisions hugely influence the successful implementation of new IA and the overall user journey. Cross-discipline collaboration is the key to success!
5. Understand the tech: Your IA choice impacts design and tech decisions (and vice versa). IA and tech choices are becoming increasingly interrelated. Ruth stresses the importance of understanding the tech platforms involved before making IA recommendations and working with developers to ensure your recommendations are feasible.
6. Stakeholders can be your biggest and best advocates: Build trust with stakeholders early. They really see IA as a reflection of their organization and they care a lot about how it is presented.
7. IA change drives business change: You can change the story a business tells about itself. Projects like this, which are user-centric and champion audience thinking, can have a positive effect throughout the business, not just the customer. Sometimes internal business stakeholders' thinking needs to change before the final product can change.
8. IA is more than a menu: And your IA strategy should reflect that. IA captures design choices, content strategy, how technical systems can display content, etc.

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Your IA strategy needs to consider

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• Content strategy: How is content produced, governed, and maintained sustainably going forward?
• Content design: How is content designed and does it support a customer-focused IA?
• UI and visual design: Does UI and visual design support a customer-focused IA?
• Technical and functional requirements: Are they technically feasible in the CMS? And what do we need to support the changes, now and into the future?
• Business process change: How will business processes adapt to maintain IA changes sustainably in the long term?
• Change management and comms plan: How can we support the dissemination of key changes throughout the business, to key stakeholders, and to customers?

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Finally, Ruth reemphasizes that AI is more than just designing a new menu! There’s a lot more to consider when delivering a successful IA strategy that meets the needs of the customer - approach the project in a way that reflects this.

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