Every month we have fun and informative “bite sized” presentations to add some inspiration to your lunch break.  These virtual events allow us to partner with amazing speakers, community groups and organizations to share their insights and hot takes on a variety of topics impacting our industry. 

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Join us at the end of every month for Lunch n' Learn.

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Elle Geraghty

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We all know that testing your IA is essential to create a functioning user experience.

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But prior to testing, what is the best way to decide between multiple possible IA approaches?

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For Elle Geraghty, the answer is a thorough understanding of potential categorisation options that can be matched to your business and user needs.

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Speaker Bio

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Elle Geraghty is a consultant content strategist from Sydney, Australia who specialises in large website redesign. 

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Over the past 15 years, she has worked with Qantas, Atlassian, the Australian Museum, Virgin Mobile Australia and all levels of the Australian government.

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Elle also teaches and coaches content strategy and information architecture.... and through all this work she has developed a great IA categorisation system which she will share with you today.

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Connect with Elle on:

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Linkedin

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Instagram

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Twitter

In 2020, over 64,200,000,000,000 gigabytes of data was produced online. This would take 1.8 billion years to download! With so much data at our fingertips, how can UX Researchers leverage it to better understand their business and user needs? This talk uses real-life examples of how the discipline of data science can (and should!) complement UX research to create better user experiences.

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Grishma Jena, Data Scientist with the UX Research Operations team for IBM Software in San Francisco, USA, recently spoke at UXNZ, the leading UX and IA conference in New Zealand hosted by Optimal Workshop, on how Data Scientists can work in synergy with UX researchers.

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In her talk, Grishma uncovers the benefits of bridging the gap between quantitative and qualitative perspectives in the pursuit of creating better, more user-centric products.

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Background on Grishma Jena

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Grishma is a Data Scientist with the UX Research Operations team for IBM Software. As the only Data Scientist in the organization, she supports 100+ user researchers and designers and uses data to understand user struggles and opportunities to enhance user experiences. She earned her Masters in Computer Science at the University of Pennsylvania. Her research interests are in Machine Learning and Natural Language Processing. She has spoken and facilitated workshops at multiple conferences including PyCon US (the largest Python conference in the world). She has also taught Python at the San Francisco Public Library. 

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She enjoys introducing new technical concepts to people and helping them use data and code to drive change. In her free time, Grishma enjoys traveling, cooking, writing, and acting.

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Contact Details:

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Email: grishma.jena@gmail.com

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LinkedIn

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Why Data Science and UX Research Should Be Best Friends 🐰ྀི🐻ིྀ

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Grishma highlights the beneficial and often necessary synergy between data science and user experience research. She first explains how data science fits into UX, and then briefly provides an overview of the data science process. Through this process, valuable insights can be shared with user research teams who can then interpret and share them with designers, developers, and product managers to create better user experiences.

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Data Science in UX ⚛

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Data science in user research involves using data-driven techniques to gain insights from user behavior and interactions, ultimately improving the user experience. Examples of data science in user research include:

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• Understanding user struggles: Identifying user issues and preventing them from leaving the platform.
• Segmentation: Identifying distinct user segments within the product's user base.
• Usage patterns analysis: Studying how users engage with the product, including those who use it less frequently.
• User behavior prediction: Predicting how users will interact with the product.
• Feature prioritization: Helping product teams decide which features to develop and prioritize.
• Triangulation with qualitative research: Combining quantitative data analysis with qualitative insights.
• Personalization: Tailoring user experiences based on identified user segments.

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The Data Science Pipeline 📊

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Data Scientists generally start off with a question and a set of data, followed by a process of ‘data wrangling’, cleaning, exploring/modeling, and evaluating. Data Scientists use various processes, algorithms, and machine learning techniques, for example, to extract patterns and insights.

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Generally, the process is as follows:

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1. Research question: Start with a research question that seeks to provide insights into user behavior or product performance.
2. Data collection: Gather relevant data from structured, semi-structured, or unstructured sources.
3. Data wrangling: Process and transform messy data into a usable format for analysis.
4. Data exploration: Investigate data distributions and patterns to formulate hypotheses.
5. Model building: Develop models to predict outcomes or behavior based on identified features.
6. Model evaluation: Assess the performance of the model using metrics like accuracy and precision.
7. Storytelling: Present the insights gained from the model in a meaningful way, connecting them to the initial research question.

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The goal of the data science pipeline is to transform raw data into actionable insights that drive decision-making and lead to improved user experiences. The process involves iteratively refining the analysis based on feedback from users and other teams, and revisiting earlier stages as needed, to ensure the quality and relevance of the insights generated.

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Generally, data scientists are more quantitative, whereas user researchers are more qualitative. But what if we were to combine the two? Grishma goes on to explain real-life examples of how these disciplines can work in harmony to achieve exceptional user experience.

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Why it matters 💥

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Data scientists delve deep into the numerical aspects of user behavior and product performance, while user researchers typically focus on understanding user preferences, motivations, and behaviors through direct interaction and observation. These two roles approach the same challenge – improving products and user experiences – from different angles, each offering unique insights into user behavior and product performance.

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By combining the quantitative rigor of data science with the empathetic understanding of user researchers, a synergy emerges that can unlock a deeper, more holistic understanding of user needs, behaviors, and pain points. This collaboration has the potential to not only reveal blind spots in product development but also drive innovation and enhance the overall user experience.

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To illustrate the power of this collaboration, Grishma describes real-life case studies from Airbnb, Google, Spotify, and ABN Amro. Below is a high-level summary of each case study:

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• Airbnb: By combining data science with user research, Airbnb gained insights into host preferences based on city size. Data scientists helped develop predictive models for booking acceptance, enhancing the user experience. Additionally, a collaborative effort between data scientists, designers, and developers improved conversion rates, showcasing the power of interdisciplinary teams.
• Google: Google used deep learning to predict web page element usability, reducing the need for resource-intensive usability testing. This approach highlights how data science can complement traditional user research methods, especially in time-constrained situations.
• Spotify: Spotify's case exemplifies the synergy between data science and user research. They identified an issue where a power user misunderstood ad skip limits. Data scientists detected the anomaly, while user researchers delved into the user's perspective. Together, they improved messaging, demonstrating how combining data-driven insights with user understanding leads to impactful solutions.
• ABN Amro: In the case of ABN Amro, user research helped address an issue that arose from a machine learning model. User validation revealed the model's shortcomings, prompting collaboration between user researchers and data scientists to find a balanced solution. This case illustrates how user research can prevent potential failures and optimize product usability.

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In summary, data scientists and user researchers have different perspectives, strengths, and weaknesses. Collaborating allows the two disciplines to:

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• Gain a holistic understanding of products and users.
• Balance qualitative and quantitative data.
• Mitigate biases and validate findings.
• Compare user actions with self-reported intentions.
• Make proactive decisions and predict user behavior.
• Humanize data and remember the people behind it.

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The synergy between data science and user research ultimately leads to a more comprehensive understanding of user needs, better product design, and improved user experiences. It ensures that both the quantitative and qualitative aspects of user behavior are considered, creating a more empathetic and user-centric approach to product development.

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Every month we have fun and informative “bite sized” presentations to add some inspiration to your lunch break.  These virtual events allow us to partner with amazing speakers, community groups and organizations to share their insights and hot takes on a variety of topics impacting our industry. 

‍

Join us at the end of every month for Lunch n' Learn.

‍

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Jodine Stodart

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Many of us choose human centred design because we see it as an opportunity to have a positive impact on people's lives through the products and services we help create. Satisfying a need in us to do something good. Sometimes those good intentions can be thwarted by the many business and technical challenges that get in the way of delivering the product or service the way we originally intended it. 

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What if we are able to see the normal challenges of every design project and the relationships and tensions involved, as serving us and shaping us, to be better people? This is the essence of conscious design leadership.

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In this lunch and learn, find out what Conscious Design Leadership is and isn't, learn about the 'three lines of work', a key framework from regenerative design theory, and come away with some guides to practicing conscious leadership every day.

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Speaker Bio

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Currently in the role of Service Design Director at BNZ, Jodine also offers coaching and consulting services across a range of disciplines - UX research, service design and leadership through her business Fireside Consulting. Jodine is the cofounder of UXCONNECT, a monthly meet up online for leading designers and researchers in Aotearoa.

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View Jodine's slides here

Every month we have fun and informative “bite sized” presentations to add some inspiration to your lunch break.  These virtual events allow us to partner with amazing speakers, community groups and organizations to share their insights and hot takes on a variety of topics impacting our industry. 

Join us at the end of every month for Lunch n' Learn.

‍

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Susanna Carman

The post-pandemic landscape is defined by increased levels of uncertainty and disruption in both personal and professional contexts. Tech sector layoffs as well as education and health care employee burnout are just some examples of the human resource challenges we face at a time when our best, most creative selves are required to meet the challenge of larges-scale systems change. Regardless of our functional roles within orgs, conditions demand we enhance our capacity for self-leadership in ways that make us more adaptive at navigating change.

Susanna Carman joins us to lead an exploration of our very human resistance to change. Together we will be introduced to a practice that reveals the gap between our great intentions, the results we actually produce, and the potential for adaptation that is available to us when we unlock the energy bound up in this polarising tension.

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Speaker Bio

Susanna Carman is a Strategic Designer and research-practitioner who helps people solve complex problems, the types of problems that have to do with services, systems and human interactions. Specializing in design, leadership and learning, Susanna brings a high value toolkit and herself as Thinking Partner to design leadership and change practitioners who are tasked with delivering sustainable solutions amidst disruptive conditions. 

Susanna holds a Masters of Design Futures degree from RMIT University, and has over a decade of combined experience delivering business performance, cultural alignment and leadership development outcomes to the education, health, community development and financial services sectors. She is also the founder and host of Transition Leadership Lab, a 9-week learning lab for design, leadership and change practitioners who already have a sophisticated set of tools and mindsets, but still feel these are insufficient to meet the challenge of leading change in a rapidly transforming world.

Grab your lunch, invite your colleagues and we hope to see you at our next Lunch n' Learn

Every month we have fun and informative “bite sized” presentations to add some inspiration to your lunch break.  These virtual events allow us to partner with amazing speakers, community groups and organizations to share their insights and hot takes on a variety of topics impacting our industry. 

Join us at the end of every month for Lunch n' Learn.

‍

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Sarah Pulis

Annotating designs with accessibility information is a powerful way to focus on accessibility in the design phase, as well as communicate your accessibility decisions to others in your team.

In this presentation, Sarah will talk about why accessibility annotations are useful, what they can be used for and how you can use popular design tools such as Figma to document accessibility requirements.

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Speaker Bio

Sarah is co-founder and director at Intopia. She has been working in accessibility and inclusive design for 13 years. She has a breadth of knowledge and experience helping organisations create more inclusive digital products and services. One minute she may be talking with senior leadership about strategic accessibility programs, the next she is getting technical with designers and developers. She is also affectionately known as the walking WCAG by her team.

Sarah is an extremely passionate accessibility advocate. She is founder of A11y Bytes and A11y Camp, Australia’s largest accessibility and inclusive design events which supports the sharing of knowledge and community connection.

Grab your lunch, invite your colleagues and we hope to see you at our next Lunch n' Learn

Every month we have fun and informative “bite sized” presentations to add some inspiration to your lunch break.  These virtual events allow us to partner with amazing speakers, community groups and organizations to share their insights and hot takes on a variety of topics impacting our industry. 

‍

Join us at the end of every month for Lunch n' Learn.

‍

‍

Susanna Carman

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Leading design processes amidst a world in transition requires all practitioners to continuously invest in their own development. One aspect worth investing in, is an ability to integrate holistic thinking into our design leadership practice. This includes re-evaluating our own biases and how that bias is reflected in the tools we choose to work with when understanding and designing for/within complex systems.

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Recently our guest Susanna Carman, Strategic Designer and founder of Transition Leadership LAB, introduced us to a holistic approach to qualitative design research using Ken Wilber’s 4 Quadrant Model. Susanna explained the fundamental principles underpinning the framework, and showed how it can be used to ensure a multi-perspectival harvest of critical qualitative and quantitative data on any design project.  

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Speaker bio

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Susanna Carman is a Strategic Designer and research-practitioner who helps people solve complex problems, the types of problems that have to do with services, systems and human interactions. Specialising in design, leadership and learning, Susanna brings a high value toolkit and herself as Thinking Partner to design, leadership and change practitioners who are tasked with delivering sustainable solutions amidst disruptive conditions. 

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Susanna holds a Masters of Design Futures degree from RMIT University, and has over a decade of combined experience delivering business performance, cultural alignment and leadership development outcomes to the education, health, community development and financial services sectors. She is also the founder and host of Transition Leadership Lab, a 9-week learning lab for design, leadership and change practitioners who already have a sophisticated set of tools and mindsets, but still feel these are insufficient to meet the challenge of leading change in a rapidly transforming world.

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Grab your lunch, invite your colleagues and we hope to see you at our next Lunch n' Learn 🌯🍱🍜🍲