Tag: Information architecture

  • Real-World Messiness of Product Design

    Real-World Messiness of Product Design

    The commercial mindset of a UX designer ensures outputs aren’t just blue-sky, but shippable. Here I demonstrate how complexity is a daily occurrence, how a proven track record in parallel industries handling multi-layered data and regulatory standards can translate.

    With 15+ yrs exp. I showcase technical fluency with Design Systems, with developer handovers, and platform-specific patterns. Lets dive in…>

    What I personally designed

    To respect confidentiality agreements, the branding and specific naming have been modified. This product is currently live and serving 6k users

    A Portfolio of Reality

    messy

    unclear

    complex Problems

    constraints

    Post release updates

    While defining a real-world business problem, I was able to use UX tools to uncover pain points to inform an initiative UX wireframe flow that in turn, informed the final UI.

    🚀 From Discovery to Design and Solution

    01 Problem Statement: Create a user-friendly and simplified mobile journey that helps seniors mitigate their fraud anxiety, meet financial regulatory standards and ultimately manage their finances i.e. improve their financial wellness.

    This was further expanded with the study into;

    • Low-anxiety mobile payment – Seniors face challenges with mobile payments due to fear of fraud, cognitive load, and digital literacy. Designing a system that addresses these concerns while maintaining security is crucial.
    • Business problem | Design challenge – The challenge is balancing a simplified flow with a robust, secure multi-step flow to mitigate fraud anxiety and meet industry standards.

    02 Segmentation: Identify distinct segments within the aging parent demographic. Target a segment that can most benefit from the UK Payment process. Accessibility, personalisation, security, and financial wellness are key considerations.

    03 Research & Strategy: Use quantitative data with qualitative insights to inform a Customer Journey Map. Visualise the financial and emotional challenges faced by each segment, across a given scenario.

    I prioritised accessibility and task-oriented patterns. Personalised guidance, and minimising cognitive load were also key considerations..

    04 Wire framing Design Decisions: Making trade-offs and delivering a justified UX solution. Simplified to the “What”, the “Who” and “How Much” before a final check then execution. I limited one screen to have one single, clear primary action. Components were dual functioning for  Existing Beneficiary and New Beneficiary reducing two mini journeys to one.

    05 Conclusion & Outcomes: How my decision’s successfully translate a complex real-world business problem into an initiative UX wireframe and Final UI flow.

    Key highlight

    • Key stakeholders audience established 2-months before proposed Sprint through workshopping and client relationships.
    • Pain points highlighted early, including CoP, Secondary payment reference and scope (i.e Feed and FX was descoped)
    • Cross platform UX and UI for Alpha release delivered and demo’d in 3-months
    • Developer and BA handover, Design System integration scheduled early for estimation and to provide clarity
    • Design System integrated and UX Copy Check signed-off
    • No deadlines missed 🙂

    Engineering Constraints and Design Trade-offs

    engineering constraints

    Technical realities

    trade-offs

    final outcome

    International Payments

    International payments is a complex animal. There is a fine line between delivering pixel-perfect cross-platform consistent UI and balancing that against commercial and technician reality. Recently I was in Bug Triage to get this sophisticated and geographically dependent piece of functionality across the line. Lets dive-in ->

    SWIFT/BIC, when connected to an API returns a Bank name, think of it as a post code. While the end-user has the ability to edit this code for new payees, they cannot edit the bank name [engineering constraint]. For a more harmonise UX, new and existing payees should be displayed in a consistent and non-jarring format. So I made the decision to use input fields throughout, in various states.

    My design then changes From > To :

    AI generated: For NDA reasons, I have fast-tracked these Input Fields to rapidly visualise these engineering constraints.

    The Trade-Off

    This manifested itself from an arguably more elegant From execution, to the multi-platform but feature parity To solution following both a trade-off contributing to a non-jarring, smoother, and Input field led consistency experience.

    To give context, this attention to detail was part of a much wider delivery. For NDA reasons, the forms in its full extent (1 of 3), have been altered.

    To respect confidentiality agreements, the branding and specific naming have been modified. This product is currently live and serving 6k users

    The Data-Informed Designer

    Design intuition

    qualitative or quantitative signals

    Post launch

    Retrospective improvments

    How I value results just as much as pixels.

    Dashboard UX to business UI

    Catering for demanding clients requesting instant advice, competitive quotes and investment strategies requires tailored tools, especially within a sensitive client-data environment – Welcome to the a Customer Meeting App Dashboard

    Through team interviews, ad-hoc surveys and gorilla research I defined three “must-have” features early on, so pre-launch the business needs and UX goals were transparent;

    1. Single point of access for disparate data – Five-second insight
    2. Broad overview with drill-down capabilities – Inverted pyramid
    3. Fill other process gaps easier and faster – Champion the brand | DS achievability

    Problem and Opportunity

    The existing offering had become redundant. Integrating data from third-party repositories was a priority, to achieve an improved user journey. This presented an opportunity to re-imagine the complete ‘Create a Customer Meeting’ user journey.

    There was another further top-level requirement; Funding.

    People management point: When competent business executives are supported by UX leaders who articulate good design, bridging the gap between vision and execution, this can build confidence across the entire team to get product delivery across the line.

    See: Career Growth within Design Teams

    Reimagining Client Meetings

    Step 1

    Start with the user needs

    Streamlining the preparation of a meeting, and principally future proofing the Create a Meeting process with a scalable UI that can seamlessly integrate new data repositories, ensuring long-term flexibility.

    Step 2

    Segment in to ‘zones’

    The on-screen real estate delivers a quick look experience prioritising top from bottom.

    Step 3

    Test and Challenge through Prototyping

    Visualising up to 12 users’ journeys leads to better understanding and smoother development. Boxed development will not impact working code.

    Early sketches reveal the potential of a dashboard, emphasising hierarchy through top-down, LTR user scanning patterns, pushing a hierarchical arrangement that guides the user’s eye. Data is prioritised with glance-access to preview Meeting Name top-of-mind expanding and collapsing information depending what is scope. 

    A conceptual dashboard with multiple layers

    The final solution solved both the scalability problem, providing easy access to account numbers, the ability to add other account numbers, visibility on the meeting date and time, and the meeting status and who is the meeting organiser. Complete transparency on meeting detail, including location, meeting language and notes format with extra features like Meeting Packs.

    And the results speak for themselves
    190 offices | Growth from 8% to 56% | 1.5 years

    Quantitative Signals

    The quantitative metric as a single-source-of-truth of unifying insights speak volumes: 56% iPad growth in just 1.5 years over 100K client meetings in 40 countries with approximately half of their approx 85 offices in western Europe,

    From business problem to an Enterprise-level, real-time data dashboard from multiple sources, instantly accessed, no more hunting.

    Qualitative Design Trade-Offs

    On reflection post launch, one key factor in the development (and acceptance) of this new radical design was achievability. Funding is also a key developmental constraint so designing with business realities is key. This inevitably constrains blue-sky thinking, a real change outside of budget and possibly a missed opportunity was to re-pitch this design for responsively iPad (landscape and portrait) or to expand on the ‘mini’ and  ‘maxi’ concept from full disclosure down to dashboard snippets. Maybe in Phase 2!

    Career Growth within Design Teams

    How to hook new customers

    Ambiguity

    Ownership

    Resourcefulness

    When customers make a product selection there is a lot going on behind the scenes. Desktop new product onboarding carries a lot of functional weight, it is a prime candidate to wireframe. Capturing a large selection of unique steps requires enterprise-level wire framing skills.

    Defining the Problem

    Imagine a new or existing customer discovering your product. The onboarding process can often feel like a daunting maze. This is where detailed wireframes step-up, transforming a journey into a smooth, secure and clear experience. Early decisions were made to leverage a pre-existing Design System. High fidelity wireframes became the way forward with Figma as the wire-framing tool of choice. 

    Onboarding Flow & Development Preparation

    Process flow diagrams were thin on the ground, little research was available and there was a lot of ambiguity. This was an opportunity! I took it on myself to deeply understand how personal details were collected, how email and SMS validation data flows worked, understand business goals and success metrics, so the technical team can move forward. This was a calculated risk!

    Segmenting the UX Wire-framing Process

    1 – Guiding the First Steps

    Personal details

    Pre-registration

    The process begins the moment a product ID is entered as the customer clicks a product. These wireframes propose a gentle walk-through, hand-holding the customer and setting clear expectations. As personal details are collected, the system identifies pre-registrations, streamlining the experience. For unrecognised products, the UI gracefully handles the situation, preventing frustration.

    2 – Building Trust and Security

    KYC process

    Tax jurisdiction

    GDPR

    IDV

    Next, the validation screen requests a unique member ID, followed by a secure OTP process. This includes both email and mobile verification, paving the way for a robust KYC process.

    The customer identifies their tax jurisdiction, providing identification proof, as part of a seamless IDV (Identity Verification) experience. To ensure compliance with regional regulations, the system also gathers marketing and accessibility permissions, adhering to GDPR guidelines.

    3 – Personalisation Meets Regulation

    Investment pledge

    NI (UK)

    This joined-up onboarding process seamlessly transitions the customer from initial product selection to specifying their investment pledge.  Furthermore, their National Insurance ID is verified, ensuring 360˚ compliance.

    4 – A Smooth Conclusion

    Confirm Message

    Next steps

    UAT Testing

    Prototyping

    Finally, once all data is collected, it’s securely transmitted to the BE. The FE then provides clear messaging, confirming a successful onboarding experience. This leaves the customer feeling confident and ready for next steps. Wires were shared for feedback across the team, including stakeholder, technical leads and PO’s.

    Fine tune the results

    Sneak preview of the final delivered User Interface (UI)

    The process is still fresh, typically next steps are Usability Testing and Heuristic Evaluation. Prototyping, with QAs on standby, is another option to verify and test stakeholder feedback.

    Conclusion and Impact

    Ambiguity

    Clarity

    These wireframes don’t just showcase a process; they tell a simple story of a complex customer experience.

    By prioritising clarity (onboarding steps) and security (verification and OTP) this onboarding journey fosters trust and loyalty from the very first click.

  • Raising the bar for customer-facing support UX

    Raising the bar for customer-facing support UX

    TLDR: An AI-Powered Customer Service Revolution – AI is transforming customer service by offering personalised solutions, and UX plays a crucial role in creating intuitive and engaging CX.

    Revolutionising Customer Service

    AI-Powered Solutions for Financial Institutions

    AI revolutions

    Personalisation

    Discover how AI is transforming customer service in the financial industry. Learn about personalised knowledge bases, integrated chatbots, and unified customer histories that enhance customer satisfaction and operational efficiency.
    To respect confidentiality agreements, the branding and specific naming have been modified. This product is currently live and serving 6k users

    Imagine a world where customer service is not just efficient but truly personalised.

    The Challenge: In today’s fast-paced digital age, financial institutions face the challenge of providing exceptional customer support while maintaining operational efficiency.

    Traditional customer service UX often falls short in meeting the diverse needs and expectations of modern customers.

    The Solution: This case study explores how AI can revolutionise customer service by creating seamless support and behind-the-scenes tools that put people and businesses in control of their money.

    User research and UX Design

    Ability <> Access <> TIME

    Quick

    Facts

    HIstory

    What the product needs to accomplish.

    Evidence informs that Customer Service Representative (CSR) typically operate on multiple panes of glass. Extracting snippets of information to help customers, within the guardrails of their abilities, their access and a timeframe (a phone call). How can this be combined, for the CSR, and potentially for self-serving customers?

    Three persona-types, three outputs;

    1. Mr ‘Self-service’; They need a tool highlighting quick-and-easy answers to their questions, without having to contact a CSR.

    CSR can also provide support and is able to troubleshoot issues and resolve customer problems to deeper issues.

    2. Mrs ‘To-the-point’; Some customers want only the facts, escalating issues to a human CSR when necessary.

    3. Mr ‘Analytical’; CSRs need to have a complete understanding of a customer’s history in order to provide effective support.

    Developing a user centred mode

    To respect confidentiality agreements, the branding and specific naming have been modified. This product is currently live and serving 6k users

    Machine learning

    Self-Service

    knowledge Hub

    Chatbot

    Chatbot

    Personalised recommendations, automating routine tasks, (like FAQs) and predictive analytics are just some of the benefits Machine Learning has in the field of UX Customer Service.

    It was clear for this project there was no one silver bullet. Providing a suite of support from self-service to employing Natural Language Processing (NLP) can all contribute to improving the overall customer experience. Understanding the wealth of possibilities Artificial Intelligence can provide, there was a focussed on three key areas: 

    1. Personalised Knowledge Base

    An AI-powered knowledge base that proactively suggests relevant articles or FAQs based on the customer’s specific query. More about ‘Proactive Suggestion’ later.

    2. Integrated Chatbots with Human Handoff

    Allowing the AI to analyse customer sentiment enables the bot and the CSR to tailor their responses to better meet customer needs and improve satisfaction.

    3. Unified Customer History

    A centralised platform that provides agents with a complete view of a customer’s interactions, including past inquiries, support cases, proactively alerts, and account history.

    History

    Trends

    knowledge Hub

    Proactive Suggestion

    AI can anticipate customer needs and offer solutions before the customer even asks through machine learning algorithms (customer’s history, product information and industry trends ) to predict proactively.

    For example: recommending accessories to recently purchased items, offering troubleshooting tips if a customer has contacted support multiple times, etc. 

    Here the AI recognises this customer has recently been the victim of fraud (see Account Overview note). The right sidebar offers a platform for the UI to proactively generate helpful links to the CSR before they have even asked.


    Self service

    conversational UI

    Unified History

    Process and Impact

    Refined wireframes, optimise self-service and conversational AI

    Starting with several wire-framed directions, then through osmosis filtered down concepts to self-service, a conversational UI and omnichannel integration within the form of a centralised platform. Based on experience and number of assumptions, wireframes were generated to bolster clarification.

    Variants evolved in parallel that merged into a winning model for all three proposals;

    Self Service and Hyper-Personalisation 

    Proactively suggestion, relevant articles and FAQs

    A Personalised Knowledge Base empowers customers to self-serve, with dual-function to help CSR agents to provide targeted support. Aligned to business objectives, these external and internal tools thrive on individual customer data, preferences and behaviour.

    A Personalised Knowledge Base empowers customers to self-serve, with dual-function to help CSR agents to provide support.
    The Customer

    Customers are presented with a user-friendly interface to reduce wait times. Empowered customers can self-serve by searching for documents, tutorials (or anything), related to their query. They have prompted categories to help with Discovery and personalised topics that are trending today. 

    On login, the user is greeted with an app-like interface. This contemporary approach guides them through top-level categories, i.e. Personal and Business finance, then using a navigation as a signpost they are able to drill-down on an Account Overview and User Guide. Tailored topics are surfaced (based on search and account history) within the sidebar quick links.

    The interface has push-points throughout all sections both introduce AI recommendations and provide personalised AI financial insight.

    The CSR

    Using the same B2C interface, CSR agents can access and add-to content, generate most frequently asked self-service tutorials and use the Knowledge Base to improve their own skills.

    Conversational Interface with Human Handoff

    Human-AI Hybrid 

    A smooth transition from AI chatbot, with ‘sentiment analysis’ baked-in, to a human agent 

    An AI chatbot that can handle simple inquiries but seamlessly transitions to a human agent when the conversation becomes complex or requires personalised assistance. This hand-over reduces agent workload for routine queries which improves customer satisfaction with faster responses, but also ensures a smooth transition to human support when needed.

    Chatbot Journey

    From Start through Engagement to Conclusion 

    Natural Language Processing (NLP)

    Gauge customer emotions from an AI-Chatbot that uses sentiment analysis baked-in.

    Properly trained, the AI can recognise the underlying intent behind customer queries, even if expressed differently and provide the right hand-off to the right CSR.

    Unified Customer History

    360˚ View

    A centralised platform | An assistant that proactively spot patterns to anticipate customer needs

    A centralised platform that provides agents with a complete view of a customer’s interactions, including past inquiries, support cases, account history and proactively alerts. For example, if a customer is nearing their contract expiration and has a high purchase frequency, the platform could proactively offer renewal terms or upsell opportunities.

    A single platform to access all customer interaction data: 

    • Reduces the need for customers to repeat information 
    • Enables agents to provide personalised and informed assistance
    • Spot patterns and insights that might inform business decisions
    • Anticipate customer needs and provide timely solutions with proactive support
    To respect confidentiality agreements, the branding and specific naming have been modified. This product is currently live and serving 6k users

    Reduce workload

    Data Insight

    Personalisation

    360˚

    Outcomes, split by discipline

    It is clear that AI enhances personalisation, efficiency, and problem-solving. But how can UX leverage these to create a more human experience.

    Business Outcomes:

    • Operational Efficiency: AI streamlines processes and reduces agent workload.
    • Data-Driven Insights: AI provides valuable customer data for informed decisions.
    • Cost Reduction: AI automates tasks and reduces operational costs.

    UX Outcomes:

    • Personalisation: AI can tailor the Self-Service experience, and brings Hyper-Personalisation to individual needs.
    • Seamlessness: AI integrates chatbots and provides a unified customer view.
    • Proactive Support: AI anticipates customer needs to find answers fast and can provide that 360 view at-a-glance.

    UX & AI | Future-proof partners

    Overall, UX and AI empowers businesses to deliver exceptional customer experiences, improve efficiency, and gain that competitive edge.

    Empowering users with the financial tools they deserve. From Mastering Design Theory and Lean Agile, Solve big problems, fast to How delight and speed are rewriting our UX playbooks. See more Case Studies.

    Empowering users with the financial tools they deserve

    • Mastering Design Theory and Lean Agile
    • Solve big problems, fast.
    • How delight and speed are rewriting our UX playbooks

    More Fintech Case Studies

  • A Frictionless Wireframe Onboarding Journey

    A Frictionless Wireframe Onboarding Journey

    TL;DR: Customers faced a confusing onboarding maze. Detailed UX wireframes transformed it into a frictionless journey, getting users invested.

    OUTCOME: Secure, and personalised onboarding process building loyalty from the first click.

    UX Wire-Framing

    Multiple Interactions

    Design Thinking

    Enterprise

    How to hook new customers

    Detailed wireframes mapping a user-centred flow that included clear guidance, robust security, and personalisation resulting in a better customer experience, more efficient development, and strong team alignment..

    Backend to Frontend

    When customers make a product selection there is a lot going on behind the scenes. 

    The desktop new product onboarding experience is a complex animal, a prime candidate to wireframe. Capturing a large selection of unique steps and indicating the interaction design is a Design Thinking challenge and requires enterprise-level wire framing skills

    A Frictionless Wireframe Onboarding Journey
    A Frictionless Wireframe Onboarding Journey
    • Clarity and Understanding A central pillar in UCD
    • Take advantage of existing Design System component reuse 
    • Team alignment (from BAs to Dev to client)

    … let’s dive in


    Defining the Problem

    Security

    Hi-Fidelity

    A Frictionless Wireframe Onboarding Journey

    Imagine a new or existing customer discovering your product

    The onboarding process can often feel like a daunting maze. This is where detailed wireframes step-up, transforming a journey into a smooth and secure experience. Early decisions were made to leverage a pre-existing Design System, so high fidelity wireframes (Hi-Fi) became the way forward with Figma as the wire-framing tool of choice. 

    Development Preparation

    Pre-development tech checks

    Process flow diagrams

    A Frictionless Wireframe Onboarding Journey
    A Frictionless Wireframe Onboarding Journey

    The first goal in a wireframing process is technical. The objective is to integrate a robust data gathering mechanism into the onboarding process to streamline technical development. Understanding the terms and conditions, personal details collection, and email and SMS validation data flows and aligning these all to API calls was top-of-mind. 

    This early technical scoping ensures efficient API integration and data management solutions, so the team can move forward and then collaborate with BAs and then UX.

    Onboarding Flow and Requirement Gathering

    Goals

    Objectives

    Functional requirements

    Shared understanding

    A Frictionless Wireframe Onboarding Journey

    Images are blurred for client confidentiality reasons

    BA Requirements Gathering

    To provide a solid foundation, to limit rework and foster communication between stakeholders (users, developers, designers) a Business Analyst will typically conduct user and stakeholder interviews to understand business goals and success metrics, write user stories and generate Use Case Diagrams indicating functional requirements to create a shared understanding before wireframes begin.

    1 – Guiding the First Steps

    Personal details

    Pre-registration

    A Case Study in Wireframing Success

    The process begins the moment a product ID is entered as the customer clicks a product. These wireframes propose a gentle walk-through, hand-holding the customer and setting clear expectations. As personal details are collected, the system identifies pre-registrations, streamlining the experience. For unrecognised products, the UI gracefully handles the situation, preventing frustration.

    A Case Study in Wireframing Success
    Wireframes: From Investment Pledge (Source of Funds) to National Insurance (NI)

    Behance – A FRICTIONLESS WIREFRAME ONBOARDING JOURNEY

    A Frictionless Wireframe Onboarding Journey

    Fine tune the results

    UAT Testing

    Prototyping

    Sneak preview of the final delivered User Interface (UI) 

    The interface has been altered for client confidentiality reasons 

    The process is still fresh, typically these will go through Usability Testing and Heuristic Evaluation. Prototyping, with QAs on standard, is another option to verify and test stakeholder feedback.

    Conclusion and Impact

    Clarify ambiguity

    trust

    Tailored

    These wireframes don’t just showcase a process; they tell a simple story of a complex customer experience. By prioritising clarity, security, and personalisation, even with a level of ambiguity, this onboarding journey fosters trust and loyalty from the very first click.

    Empowering users with the financial tools they deserve. From Mastering Design Theory and Lean Agile, Solve big problems, fast to How delight and speed are rewriting our UX playbooks. See more Case Studies.

    Empowering users with the financial tools they deserve

    • Mastering Design Theory and Lean Agile
    • Solve big problems, fast.
    • How delight and speed are rewriting our UX playbooks

    More Fintech Case Studies