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Last updated on 2024年7月31日

Here's how you can present IA research findings to enhance decision-making processes.

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Understanding the significance of information architecture (IA) is crucial for the success of any digital project. IA involves organizing and structuring content effectively, which ensures that users can navigate and find information with ease. When you have conducted thorough IA research, presenting your findings can significantly influence the decision-making processes within your team or organization. The key to a successful presentation lies in clarity, relevance, and the ability to tie insights directly to business goals and user needs. By following a structured approach, you can ensure that your IA research findings are communicated effectively, thereby enhancing decision-making and leading to more user-centric outcomes.

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1 Clarify Goals

Before diving into the details of your IA research, it's important to clarify the goals of your presentation. Understanding what your audience—be it stakeholders, designers, or developers—hopes to gain from your findings will guide the focus of your presentation. Aim to align your research insights with the project's objectives and the strategic direction of the organization. By doing so, you can tailor your message to address specific concerns and demonstrate how the IA research supports overarching business goals, which will resonate with decision-makers and help them see the value of your work.

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Elyinn Osorio

Innovation | Data Science | Machine Learning | AI | CX | Professor
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The contributions seem very good to me, a guide that I would recommend presenting the results of AI and advanced Analytics is the book Storytelling with Data by Cole Nussbaumer Knaflic

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2 Organize Data

The organization of your IA research data is pivotal to its comprehension and subsequent application. Start by categorizing your findings into themes or groups that reflect different aspects of the user experience. For example, you could separate data based on usability issues, content gaps, or navigation problems. This methodical approach will not only make it easier for you to present your findings clearly but will also enable your audience to process and understand the information more efficiently. A well-structured presentation helps to highlight the most critical issues and opportunities, paving the way for informed decision-making.

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Sean Connolly

Using tech to fix healthcare. Proven track record of driving massive engagement through large-scale, coordinated experience design improvements across automated, dynamic, CRM-ecosystems, and digital transformations.
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You have to user test at scale. Sorry. If you're a medium-powered UX group in a large organization with a big elements to organize, it is a political landmine to go at IA. Lots of employees use the sites daily and speed through on memory. Key products and high-throughput products have powerful internal leaders that demand users find them first. It's easy for them to position key sales different from ancillary sales. Yes, get all the data that shows the problems. Organize it. But the solution needs to come with scale real-world data. And it's not easy or cheap to A/B test IA on live site with CMS. You need a remote user testing tool, and you need to pit the new and old IA against each other, and show who wins in speed, and purchase.

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3 Visualize Insights

Visual aids can be incredibly powerful in conveying complex IA research findings. Use diagrams, flowcharts, and other visual tools to illustrate the structure of content and navigation paths. When you translate abstract data into concrete visual formats, it becomes more digestible for your audience. For example, a sitemap can provide a clear overview of how content is categorized and interconnected, while user journey maps can showcase how users move through a system. Visual representations not only make your findings more accessible but also help stakeholders envision potential changes and their impact.

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Salvador Valle Vargas

Design & UX Director
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We assume that the research has been carried out with specific objectives in mind. I plan the different tests based on these objectives and also the metrics I want to obtain (number of attempts, time taken to complete the task, number of errors, first choice,...). When I prepare the report, I show the data in relation to the objectives and compare it with the initial metrics. When possible, I try to test it in production to get real metrics before deploying it to all users.

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4 Prioritize Findings

Not all IA research findings carry the same weight in terms of their potential impact on a project. It's your job to prioritize these insights based on urgency, relevance, and feasibility. Highlight the issues that need immediate attention and explain why they are critical. Also, suggest a roadmap for addressing less urgent but still important findings. By prioritizing this way, you help decision-makers focus on what matters most and allocate resources effectively, ensuring that key improvements are made where they can have the greatest effect on user experience.

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5 Recommend Actions

After presenting your IA research findings, it's essential to recommend actionable steps that can be taken to address the issues identified. These recommendations should be practical, achievable, and backed by your research data. For instance, if you've identified a major navigational issue, suggest a redesign of the menu structure along with a rationale for why this change will improve user experience. By providing clear recommendations, you empower decision-makers to act with confidence, knowing that each proposed action is grounded in solid research.

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6 Engage Audience

Finally, engaging your audience throughout the presentation of your IA research is vital. Encourage questions and discussions to ensure that everyone has a clear understanding of the findings and their implications. This engagement not only fosters a collaborative atmosphere but also allows for the exchange of ideas that can lead to innovative solutions. Remember, the ultimate goal is to make informed decisions that enhance the user experience, and active participation from your audience is a key component in achieving that goal.

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Sean Connolly

Using tech to fix healthcare. Proven track record of driving massive engagement through large-scale, coordinated experience design improvements across automated, dynamic, CRM-ecosystems, and digital transformations.
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You have to have large scale data or lots of recurring data that the new IA is better than the current live site. It's not hard to engage stakeholders in this problem. It's hard to get them to commit resources and blessing to a new solution. Everyone's current metrics are based on the current IA, and only the smaller product & service owners are going to say, "Sure, let's try something new," because they don't get much traffic. But the key drivers of the company will push back, and they have the most power. User test, user test, user test. Show how EVERYONE prefers the new IA. The last big IA overhaul for enterprise I did took two years and nine conclusive user tests. It increased traffic %150 and organic SEO shot up.

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7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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Karthik Suvarna

Data Science & AI Enthusiast | Project Management |
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To further enhance decision-making with IA research findings, it's beneficial to incorporate real-world examples and case studies to illustrate practical benefits, address potential challenges with proposed solutions, and draw insights from other industries to inspire innovative approaches. Additionally, highlighting emerging trends like AI-driven personalization shows a forward-thinking perspective, while emphasizing the importance of continuous user feedback and iterative testing underscores the need for ongoing improvement.

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Sean Connolly

Using tech to fix healthcare. Proven track record of driving massive engagement through large-scale, coordinated experience design improvements across automated, dynamic, CRM-ecosystems, and digital transformations.
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User test, user test, user test. Multiple times. Multiple audiences. As large a scale as you can get. I know I have said this above, but when it comes to consumer facing enterprise IA, you need to show you have the winner. Stakeholders cannot have one doubt that their site which gets a 1,000,000 hits per day isn't suddenly worse -- especially for the long established customers who already know the legacy IA. Powerful customers and stakeholders and employees have spent the time to know the legacy IA. ^If you're meeting new IA resistance, it's not that they don't believe your card-sorting. It's because of this. Improving customer IA is great for new customers, but everyone else gets an unwelcome change. Show the change works first.

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Here's how you can present IA research findings to enhance decision-making processes.

1

2

3

4

5

6

7

1 Clarify Goals

2 Organize Data

3 Visualize Insights

4 Prioritize Findings

5 Recommend Actions

6 Engage Audience

7 Here’s what else to consider

Information Architecture

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Here's how you can present IA research findings to enhance decision-making processes.

1

2

3

4

5

6

7

1 Clarify Goals

2 Organize Data

3 Visualize Insights

4 Prioritize Findings

5 Recommend Actions

6 Engage Audience

7 Here’s what else to consider

Information Architecture

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