Design strategy for a trading company

Building a proactive design strategy through user intelligence

Introduction

This case study includes
  • User research
  • Ideation and collaboration
  • Creating and growing design teams
  • Design projects and strategy
My role
  • Head of UX
Team
  • 2 UI Designers
  • Business Analyst
  • Development, Research Analysis, Marketing and Data Teams
Stakeholders
  • CEO
  • Head of Technology
  • Head of Marketing
  • In-house traders
Users
  • In-house traders
  • Traders, Researchers and other experts from major energy companies
  • Investors
Timeline
  • April 2022 – January 2023 (10 months)
Overview

The company have an established and successful energy commodities trading arm, and were looking to leverage their expertise in the industry to build out their technology offering based around their in-house trading software, and use it to widen their market share and appeal to major energy companies.

Highlights

“ Developing a product strategy that leverages industry knowledge to demonstrate value to a wider audience”

[Screen shot of data platform website]

[Other screenshots to be created]

Context

The company had established themselves as a successful trader and broker within the energy commodity derivatives space, including producing their own software for trading in oil derivatives. Their aim was to increase their technology offering, leveraging output from their successful Research, Data and Media teams to increase appeal and buy-in from their customer base, which included major energy companies, as well as traders and brokers within the commodities derivatives markets. My goal was to identify ways in which we could increase that appeal, whilst building out the design team to support both existing projects as well as new initiatives.

The Challenge

Create a way for the company to leverage their considerable domain expertise and demonstrate value to customers to increase revenue.

Building the foundation

Creating a design team

  • Previously, the company’s design team consisted of a single designer, working to support production teams in something of a reactive capacity, working off change requests from stakeholders, and limited in scope.
  • To approach the challenge outlined above, we needed to be able to develop a new strategic design approach, while also supporting the existing product teams.
  • I started by hiring two User Interface designers who could create concepts, wireframes and design components for the product teams, using Lou Adler’s Performance based hiring process, and ensuring that we encouraged a more diverse set of candidates, and a better range of choice for the roles.

Creating a design strategy

  • In order to ensure that we could demonstrate value to customers, it was key to to understand what those customers actually wanted
  • My plan was to not only conduct research that informed work on existing products, but to also provide intelligence that informed strategic decisions, supporting the work of management, market intelligence, marketing and more.
  • Starting with interviewing internal traders, brokers, researchers* and other stakeholders, I built up a picture of the different user types and their individual requirements
  • From which I could then create “information radiators” – artefacts such as personas and user journeys, which I could then use to share insights with teams and stakeholders, and validate design decisions.
  • These provided a basis from which to build, conducting interviews with external traders, brokers and other industry experts in order to get a wider and richer understanding of the different requirements

[images of personas]

[images of user journeys]

Discoveries

Insights gained from research with users included:

  • Awareness: a number of traders interviewed expressed lack a knowledge of the platform or the company’s other offerings
  • Reticence: many traders still used Excel sheets to track price movements, which, although unwieldy, provided them with the ability to customise the data they worked with
  • Varied sources: as part of their work, users needed to consult a range of different sources or data and news, as well as communication channels. These often got quite complex and hard to keep track of
  • Customisation: the majority of users interviewed expressed an interest in only one commodity or specific markets, and wanted the ability to tailor their view to show just the areas they were interested in.

Ideation

  • Leveraging different expertise
  • Combining information sources
  • Customising information view
  • Adapting to different screens and use cases
  • “Dawn to dusk” information service
  • Try before you buy approach

Approach

  • Communicating findings: providing weekly updates to management and heads of departments, sharing insights and updates, combining together Confluence wikis as a platform to store and share information.
  • Demonstrating value quickly: creating a website to show off data sources, which would generate interest while longer-term work went on.
  • Build, measure, learn: developing an approach to building out what would be a large project, testing concepts and challenging assumptions with users and stakeholders (especially as they were more expert in the subject matter than me), preventing any surprises and ensuring a successful product.

[To be continued]

Retrospective

Project takeaways:

  • I managed to establish a proactive design team, who worked alongside product development teams to ensure that strategic decisions were based upon evidence from user and business intelligence
  • This also challenged the culture of C-level executives changing direction every few weeks, leading to more direction and reduced stress for product teams
  • While the company decided not to continue with my plans for the product, they said that they felt I had done some excellent work, and I had provided them with a good template for future product developments.
  • I also feel that if this work had been continued, it would have provided a highly competitive advantage in an industry which had been lacking in innovation.

UX advocacy

Sharing the benefits of UX with colleagues and clients

Summary

I‘ve worked with a number of companies in my time, all with differing levels of UX maturity. In this case study, I’ll share some of the ways in which I’ve advocated for better awareness of UX practices, and provide ideas around how you can share them with yours.

Introduction

When you join a new company as a UX Designer, one of the first things to understand is the level of UX maturity within that company. Are they carrying out end-to-end full UX processes in their projects, involving non-UX colleagues in their processes, or are they confused between UX and UI, and end up with meetings full of designers pushing pixels while product owners dictating how the product should work, without a user in sight?

The introductory “What is UX” presentation

In many cases, you will have to introduce yourself to your colleagues, as well as set out your stall as a UX practitioner within the company. One popular way of doing this is the “What is UX” presentation, a deck of slides that help introduce those less familiar to how you’re going to introduce better UX practices, as well as providing details about your team, and your plans over how you’re going to implement your plans, ideally liaising with colleagues outside your team to ensure buy-in from everyone involved. This presentation is often given as a roadshow, giving you a chance to travel to different offices and meet colleagues. What’s more, this often also allows you to identify people who are interested in the processes you are talking about, and might become useful advocates later on.

Screenshot of a presentation slide, with "UX is not", and a list of different misconceptions around UX
A typical slide from a “What is UX” presentation, breaking some misconceptions around what some perceive UX to be.

Information sheets

Whilst a presentation might be useful in informing people of your plans, it is also useful to communicate smaller concepts with colleagues and stakeholders during projects. One such method we devised was designing “One Page UX Processes”, a series of one page PDFs which we could use as a tool to help explain a concept to someone, and then leave behind with them to later review, or share with others. We designed the sheets to give a high-level overview, explaining what each concept is, how it works, and the benefits of using it.

Single sheet explaining the processes behind Lean UX Design
An example “One Page Process Sheet”, explaining principles behind Iterative Processing and Lean UX Design

Remote ideation workshop

People often learn better by doing, and, when asked to provide a short workshop during a remote office activity afternoon, I saw the opportunity to provide something that would both educate and entertain. I therefore devised a small ideation workshop, which would help my colleagues to learn about the UX process, as well as having a chance to be creative, think in ways they were not used to thinking, and even introduce a note of competition around the solutions they created.

I worked out a simple open ended problem, asking them to devise a route-finding application, and then created three personas – an old man, a blind woman, and a cycle courier. I introduced the team to the problem and these three personas, and asked them to draw a solution which took the requirements of the three personas into consideration. Of course, I assured those who said that they couldn’t draw that this was conceptual, and they could communicate their ideas using boxes, arrows and wording. I gave them about 20 minutes to draw, and then asked each person to share and explain their ideas with the group, encouraging the rest of the group to ask questions and provide feedback after they had finished. The group said that they found the session highly enjoyable, and felt that they appreciated how UX design was focussed upon user needs, rather than something dreamed up by the production team.

Step by step guide, showing people how to draw and share their ideas in the ideation session
The guide I provided to the remote ideation session, showing how people could draw and share their ideas with the group

Blog posts

UX is a continual learning process, and during my work, I also make interesting discoveries. I was invited to share some thoughts on the company blog, and so again used this as a teaching opportunity. I wanted to share details about the importance of an iterative approach to software production, but felt that just talking about that could be seen as a bit dry. I remembered the story that I had read when I was young of Percy Shaw, who discovered Cats Eyes, the road safety feature that lit up the centre white line of the road by reflecting car headlights back at them. I remembered in the story about how Shaw had iterated numerous times on his design, and had even literally “road tested” his creations on a stretch of country road late at night himself, eventually gaining a contract with the Government to produce them for UK roads, after streetlights were put out to evade bombing runs in World War II. This blog post gained praise from colleagues and clients, and became a useful link to share with people who tried to cut corners when it came to testing the products they were building.

Thumbnail of blog post page
The blog post I wrote on Cats Eyes, and showing the value of iterative design and testing

You can read my post here on the Scott Logic blog.

The most important part: conversation

All of the above initiatives can be useful ways of communicating ideas, but their efficacy is severely diminished without one important element – conversation. This could be discussions of UX processes during a project, a chat with a colleague during a coffee break, or any number of touchpoint interactions where you get the chance to discuss how you can help with a problem. The conversations help glue together other initiatives such as the ones above, and help remind people of their existence, so that when a situation arises which could benefit from these approaches, they turn to UX for help.

As previously mentioned, you can also use these opportunities to work out the people who are more receptive and excited by how these ideas can help. These people can often turn into advocates, who can help you spread the message, and, if they are senior, might even help effect change within company-wide practices.

Conclusion

Hopefully some, or even all, of these ideas will help you share the benefits of User Experience within your own work. If you have any methods that you would like to share, or even if you used some of the ideas above successfully, please let me know!

Trading system for financial company

Guerrilla UX in a pandemic: encouraging best practices in adverse situations

Introduction

This case study includes
  • User research
  • Ideation and collaboration
  • Rapid prototyping
  • User interface design
My role
  • User Experience and User Interface Design Consultant
Team
  • Engagement Lead
  • Client Product Owner
  • Engagement Development Team
  • Client Development Team
  • Client Business Analysts and Subject Matter Experts
Stakeholders
  • Client Product Owner
  • Subject Matter Experts
  • Client traders
Users
  • Client traders
Timeline
  • July – September 2020 (2 months)
Overview

Working as part of a consultancy team to a major bank, we turned an originally intended “lift and shift” in updating their trading software into an opportunity to fix some fundamental problems and improve the user experience.

Highlights

“Improving a complex user interface in an adverse situation to demonstrate value to the client”

[images of user interface]

Context

During the pandemic, I worked with a UK software consultancy, and was placed on a team supporting a major international bank. Our team was initially tasked by the client to work on a “lift and shift”, converting their RFQ (Request for Quotes) bonds trading software from the soon-to-be deprecated Adobe Flash platform into a modernised HTML5 version. Initially, the client expected me to provide simple User Interface design support, converting the original user interface with only a few tweaks. However, when speaking with their subject matter experts, I found that their system had some significant issues in their user experience, which needed fixing. However, I also found that their Product Owner didn’t really appreciate the value of user experience, and so it was up to me to demonstrate the value of what I was doing while working to improve the product.

The Challenge

Justify the value of improving the user experience of a complex system to a skeptical client, working remotely during a pandemic.

Research

Initial explorations

  • My initial steps into understanding the situation started with conversations with Subject Matter Experts – developers and business analysts who worked on our client production team who had knowledge and experience of how the software was originally designed and built, as well as colleagues within the consultancy who had experience in creating similar systems
  • Through these discussion, I managed to improve my understanding of the context of Bonds trading, as well as previous issues with the platform that we were rebuilding
  • I was also able to pull together a picture of how the Bonds RFQ trading process worked, mapping this out in a user journey (shown below) that allowed me to also identify possible pain points and opportunities for improvement
  • This work prepared me for conversations with actual users, knowing what to ask and areas to explore, making my research process more efficient and successful.
Whiteboard with post-it notes and written text, describing simple discoveries in the user journey
My initial explorations describing the stages of the RFQ process (blue), identifying problems and questions (red), as well as questions and opportunities (green)

Speaking with traders

  • Bonds trading involves different teams, known as desks, each of whom have their own particular requirements for the software, and so I asked the Product Owner to put me in touch with representatives from each desk, to get a full understanding of those requirements.
  • As this was during lockdown, conversations took place remotely, either by video or audio call, and were sometimes early in the morning for traders in East Asia or later in the day, for those on the West Coast of the USA.
  • As with other projects, rather than get a “laundry list” of requirements, I spoke with them about their work, getting them to describe the RFQ process to me, and what they looked for while they traded (in cases of complex context, understanding method and motivation provides the data you need to identify opportunities).
  • The traders were unable to stop trading while being interviewed, and so I had to adapt and anticipate interruptions every 5-10 minutes during our conversations, grouping questions into small bunches to ensure I got the answers I required before any interruptions and the trader losing their train of thought.
  • Despite this somewhat adversarial situation, I found that the traders were keen to talk about their work, and provide in-depth insight into their experiences with the current system, allowing me to validate hypotheses and identify opportunities to improve the system.

A screenshot of part of my interview script, showing gaps between every 3-4 questions Examples of my questions, showing gaps between every 3-4 questions, to anticipate interruptions.

Discoveries

Major discoveries that came from my research

  • In RFQ Bonds, much like other trading, speed and accuracy of communication are absolutely essential toward making successful trades.
  • The current system had been initially built as a solution for a few desks, and was rolled out to other desks over time, which led to those desks making new requests for features and functionality to be added to it.
  • As the extra features were added after the initial development, they weren’t considered within the scope of the overall project, which led to experience rot. This made the system slow down and harder to use, and led to traders missing important trades.
    • One example of this was the any in which RFQ “tickets” (small windows showing details of each trade) would overlap each other, each with bright colours and making loud noises as they appeared, which meant that the experience could be quite confusing and frustrating for the traders.
  • Speaking to each trading desk, I found that they could be placed along a scale based upon their requirements:
    • At one end, some desks trade a high number of tickets per day, requiring less supporting information, such as analytics, in order to make their trades
    • At the other end, other desks traded fewer tickets per day, but required more supporting analytics information in order to make their trades.
  • Traders would triage tickets, sorting them into ones that they wanted to deal with themselves, or others that could be ignored, or traded automatically, based on specific criteria. This was particularly important during times of high traffic, such as the end of each day, when traders are trying to get rid of all the tickets they are holding, so that they don’t become swamped with information.

Demonstrating value through discovery

Following my research, the Product Owner was keen to see some visual progress of my work, and I felt it was best to demonstrate the value of my efforts with ideating and testing assumptions through low-fidelity prototyping, which I could test with him, the Subject Matter Experts and Traders, in order to answer questions while showing progress.

Below are some of the concepts I experimented with:

A wireframe, detailing how users can define what appears on each part of the screen, as well as save and share their layouts

Demonstrating value through discovery

  • Following my research, the Product Owner was keen to see some visual progress of my work, and I wanted to demonstrate the value of what I had discovered.
  • Therefore, I made the decision to work on an Agile iterative wireframe approach, in order to have visual representations of early concepts, which I could then demonstrate to the Product Owner, Subject Matter Experts and Traders, in order to gain feedback.

Customisable screen layout

  • It was clear that the platform needed to present multiple tickets clearly to the traders, without overlapping each other, and that they needed to be able to amend their displays to show information that they found important.
  • The first step was to establish a customisable screen layout, where traders could build the layout that suited their needs, as well as save that layout, and share it with others (we found that Traders preferred to copy each other’s set-ups, rather than define their own).
  • Within each section, further customisation would be possible, so that traders could see just what they needed, and nothing else.

Working with tickets

Wireframe showing how multiple tickets can be stacked and displayed with more or less information

  • It was important that we gave Traders the ability to work with tickets in a way that suited their requirements, so we devised different approaches:
    • Showing larger tickets with more information
    • Displaying tickets stacked horizontally, so they could see the stream of incoming tickets, and work with multiple tickets at once
    • Traders could also set rules to have the system deal with tickets automatically, if they met certain criteria (such as everything below a certain value would be automatically declined), these could then be put into a “drawers” so that they are out of the way, but can be checked, if required.
  • This meant that Traders could “triage” tickets, to display the way that they wanted, and also could adjust these rules for different behaviours for busy periods, so that they weren’t overrun with tickets.

Numeric inputs

Mock-up showing a radial menu around an input field, allowing users to incrementally adjust values accurately

  • As mentioned, speed is of the essence with RFQ trading, especially when countering by adjusting a quote and sending it back as a counter-offer.
  • We therefore needed to provide a way for traders to make quick, precise adjustments that they could be sure of, before sending them back.
  • We explored a number of options, and ended up settling on a radial “daisy wheel” approach, with buttons around the input box, allowing for rapid mouse changes, as well as mouse input.

Pulling ideas together

High fidelity mock-up, showing just how large and small tickets fit together, as well as supporting analytics in the top right

Atomic design system

  • The previous system was being continually added on to, leading to a confusion on messaging, information and alerts.
  • I therefore devised an atomic design system, which defined everything based upon a hierarchy:
    • Atoms (smallest possible items, such as buttons or labels)
    • Molecules (combinations of atoms, such as an input form)
    • Organisms (groups of molecules, such as a ticket)
  • This helped to define onscreen colours, information and messaging that didn’t fight for the user’s attention, and helped them to focus on what was most important.
  • Due to the modular nature of the design system, this also helped the Development team to produce a modular component system using Storybook, meaning that quick changes to the master would cascade down to code that had already been implemented.

Design atoms - simple designs for buttons, inputs, et cetera

Design molecules - design guidelines for collections of atoms

Design organisms, collection molecules together into entities such as tickets

Typography for the project, using the Mulish font

Conclusion

  • Despite the fact that the project wasn’t started with design thinking in mind, I was pleased to have been able to conduct research and a small degree of testing to demonstrate how we could make the trading system better by understanding the needs of the different trading desks, and designing to adapt the platform to their needs.
  • The initial engagement lasted three months, after which I was moved on to another project, only to be asked back again by the Product Owner, saying that it was important to have me on the project, as I was “the only Designer available who understood the context”.
  • The product has since been implemented, and reports have come back saying that Traders find it much more efficient and intuitive, leading to faster trades, and reduced stress during busy periods, both of which were objectives that I outlined during my research, and agreed with the client.
  • I was later asked to be part of a town hall interview at my consultancy, explaining the work that we did, and how we made it into a success. I also wrote an in-depth analysis of how and why you should conduct better user research in your projects, to help demonstrate to colleagues and clients why design should be considered at the start of the project, and how that can help to make highly successful outcomes.

If you’re interested in how I can help your complex project to be more successful, why not message me, and we can discuss your requirements?

Flagship scientific database product

Enhancing a flagship online scientific database to best-in-class

Introduction

This case study includes
  • End-to-end UX process
  • User research
  • Ideation and collaboration
  • User interface design
  • Build, measure, learn
My role
  • Senior UX Designer (London)
Team
  • Technical and Business Product Owners (Heidelberg, Germany)
  • Junior UX Designer (Pune, India)
  • Business Analysts, Project Manager, 6 Developers (Pune, India)
Stakeholders
  • Subject Matter Experts
  • Academic and Corporate materials scientists
Users
  • Academic scientists and researchers
  • Corporate scientists and researchers
  • A range of companies and institutions
Timeline
  • October 2014 – October 2016 (2 years)
Overview

The product is an online subcription-funded materials science database, provided by a scientific publishing company, which had suffered a decline in subscriptions before I joined the team. We wanted to understand why people were using the database less, and how we could encourage them back.

Highlights

“Transforming a simple scientific information repository into a dynamic data-driven tool”

Page of sketches exploring different details on the page, such as tables and graphs, and how they would work on desktop, tablet and mobile screens

A digital sketch of six screens with annotations

A sketch and a screenshot of a page with a graph and tables of results for a characteristic of a material

Context

The product is an online materials science database provided by a scientific publishing company. Created with data from a series of journals which have been compiled since 1882, it is viewed as a highly-respected source, providing details of experiments throughout its long history, including Albert Einstein, which scientists today could use to inform their own experiments and papers.

However the online database, which had been running for seven years before I came on to the project, had seen a decline in subscriber numbers. The product owners wanted us to understand the reasons for this decline, and explore ways in which we could get those subscribers back, as well as encourage new ones.

The Challenge

“Review the database and understand from its users why they were using it less and less, and develop ways to improve subscriber numbers again.”

Research

Recruiting users

  • The product’s user base covered a wide range of different institutions and companies which depended upon materials science data for their work.
  • However, I found that the Product Owners did not have direct connections to the end users of the products, as the business relationship was conducted through Sales Teams and Buyers, and the Product Owners had only been interested in analytics metrics.
Diagram showing the relationships between different groups, underlining the lack of contact between the software production team and users
Diagram showing the relationship between my team and the users, and how it was difficult to get any users to conduct research with
  • Therefore, I had to go out and recruit users myself, by researching companies and institutions, writing to Heads of Departments, approaching individuals and using on-page surveys to collect initial impressions and request participation.
  • While this was time-consuming, I was able to create a group of users who I could conduct research with to champion design decisions, and test with to assure assumptions.

Research methods

  • As I am not a Materials Scientist, I needed to ensure that I was asking the right questions in my research sessions. Thankfully, the company had a few subject matter experts on hand, who were able to give me an initial walkthrough of the platform, and how it would be used by scientists to find data for their work.
  • In order to observe user experiences, I focussed on examining end-to-end interaction processes with research subjects (see below), asking them to show me how they would find information of interest to them, so that I could assess how successful they were, as well as identify pain points and opportunities for improvement.
  • Users would often have their own suggestions from their own previous experience of the platform, which also provided useful starting points for further ways we could improve it.
  • During this process, I encouraged other members of my production team to listen in to the call, posting questions on Slack for me to ask the users, which helped to encourage collaboration and ownership of the research process, and foster empathy with the users.
A photo of two laptops, one next to each other. The left hand laptop is showing a video call with a website as the main view. The right hand laptop shows a text conversation in Slack. There is a a piece of paper with questions in front of the laptops and a can of Diet Coke to the right of the laptops. This is my set up for when I interviewed people online.
A remote user research call, with the call viewing the product on the main laptop screen. I have my written questions in front of me, and on the right is a Slack channel with my colleagues listening in. My team can ask me to ask questions to users on their behalf, to help their own understanding.

Examining the primary user flow

  • What motivations bring them to the platform
    • Reasons for using the site, experiments and tests being run, information needed to locate, location and device accessed on, and how they accessed it.
  • How they looked for information on the platform
    • How they looked for information on the platform
  • How they worked with information discovered
    • Reading info on the page, accessibility issues, page location, ease of retrieval
  • What they did with the information afterwards
    • Using information (data, text, etc.), taking it away (download, print, formats, etc.)
A handwritten sketch of a flow of box and arrows, showing the four stages I studied: before the user comes to the site, how the user looks for information, how they view the information on the site, and what they do with it after they leave.
A sketch flow of the four stages I defined in the primary user flow for study; what users do before they come to the site, how they find information, how they work with what they’ve found on the site, and what they do with it after they leave. These four stages become a model which I have used on many different products to build understanding of user motivations and requirements.

Discoveries

Major discoveries from the research

  1. Primarily, the database was a reference for users to look up data from previous experiments, that would help with their own experiments and papers.
    • The main process that a user would follow would be to search for a material (such as carbon, steel or benzene), and a property (such as melting point, boiling point, or surface tension)
    • They would then follow the search results to find their chosen piece of data.
    • Having located the required data, they would then take that information by writing it down, or printing it out, and put it into their own experiments and papers, to support their own hypotheses.
  2. However, there were some significant issues which they found with the current state of the database, which impaired their work:
    • They often found the process of trying to locate information difficult, with confusing numbers of pages and steps along the way, often causing them to give up in frustration
    • Searches would often return results which were confusing, and didn’t seem relevant
    • Once they had located the data, they found the process of then searching through the scanned image PDFs cumbersome, as they had no way to search for a result within the PDF, and could only find their results by hand
  3. After defining these frustrations, the users told us that they were enough of an impairment that they felt the product wasn’t worth the subscriptions fee, and that had caused them to cancel their subscriptions.

Personas

To summarise research findings, and to advocate key points to inform product decisions, I created personas that included Researchers and Scientists in both the Corporate and Academic settings, each with different practices, such as theoretical or practical work, or motives such as financial benefit or academic discovery. As they were a fundamental part of our customer relationship, I felt it was important to include a persona of the Buyers as well, so that we could understand the motives of those who purchased the software without a strong scientific background.

Five persona sheets, showing the different types of personas that used the database
The five personas I created to help understand the differing requirements of different types of user; Academic and Corporate Scientists, Academic and Corporate Researchers, and Buyers who weren’t direct uses, but were responsible for purchasing subscriptions for the other four users.

Analysis: co-location

Our product team gathered at our Pune office for a week together to analyse the findings:

  • Product Owners and Business Analysts shared business aims and requirements for the product
  • I shared my research findings and presented the personas, conducting empathy sessions to help the team understand and explore user requirements
  • Explore problems by eploring current user journeys, and thinking about how we could improve them
  • Ideate on solutions by sketching screens and interactions, identifying knowns and unknowns for further research ad testing, and providing a starting point for prototyping
  • Create an Agile roadmap for the coming months, estimating workload and timelines

By involving stakeholders and team members, we helped to reinforce the business and user motives behind decisions, as well as encouraging them to make use of their own skills, rather than just have work handed to them without context.

Solutions

Improving user journeys

Following our analysis session, we identified that reviewing and improving the journeys that users took through the site would be the most effective thing we could fix, with the least effort.

  • We started by identifying “red routes”, key journeys that users took through the site to find information, and identified that the most common was where they looked up a characteristic (say “boiling point”) of a material (say “Benzene”)
  • We had previously identified in research that the user journey had “bloated”, due to “experience rot” (continual addition of extra pages and features outside the original remit that confuse the original objectives and impair user success).
  • We therefore created improved user journeys as clickable prototypes, so that we could quickly test ideas with users, ensure that they aligned with their mental models and gain feedback before we revised the actual database.
  • During this testing, we also discussed opportunities from extra functionality, including digitising the data, which I could then advocate to the business as opportunities for future product development
A digital sketch of six screens with annotations
User journey illustrating the five pages and one PDF, with their interaction points, that the user had to navigate to reach a required piece of information.
A much simpler sketch of a user journey than the one above containing only three screens.
I managed to boil this user journey down to a mere three pages, including the home page, search and details page (see digitised data below).

A responsive approach

During our research, we identified not only the different requirements for each persona, but also discussed with them the different scenarios in which they would access the database. For example:

  • People accessing the site on a mobile device would often want to check a single, specific piece of data, and appreciated the ability to access the information quickly, without having functionality that they did not require at the time get in the way.
    • This also worked for people who would view the database on a smaller window on a desktop, ensuring that their view focussed upon the information that was key to their search
  • People who accessed the site while sat down, with a larger device such as a laptop or desktop, would want to spend more time investigating, and would want more supporting information

By returning to our “red routes”, we could then examine them with an extra dimension, ensuring that the layout and display for different device sizes responded to those requirements

Page of sketches exploring different details on the page, such as tables and graphs, and how they would work on desktop, tablet and mobile screens
Sketches showing how to adapt different parts of pages to different screen sizes. This allowed us to prioritise information around the different use cases for each form factor.

Improving search

The next effective solution that we chose to follow, which would take a bit more time and effort, was to improve the way in which the search worked.

  • We had already identified in the research that users were getting search results that did not make sense to them, and so our first step was to identify why those incorrect results were appearing, which we did by testing with users how they used the search, what results they expected, and which they did not.
  • We then reviewed with the developers, and discovered that it was the markLogic text-based search that was the problem, which only searched for text strings, and didn’t understand context.
  • This was a problem due to the technical nature of our users’ search terms. For example:
    • “tin” refers to the metal; tin
    • “TiN” refers to the material Titanium Nitrate
    • As the search did not understand the context, typing either of those terms into the search would yield the same results.
  • We therefore explored a number of solutions, including:
    • case-sensitive searching, allowing users to search using chemical symbols
    • contextual drop-downs which would allow users to select the context that they meant around their search term
    • bringing in search database experts to implement a graph search, which created a contextual model between inputs (such as recognising tin as a metal, which would therefore have a link to steel, which is also a metal, but not tincture, which is a chemical process, but has the letters “tin” in it)
  • We implemented our solution by working on a separate version of the search, only reachable by the use of a specific URL, which stood alongside the original search. By directing people to this search, we were able to try out ideas quickly, ensuring that our ideas worked before increasing user interface fidelity, which reduced the required amount of development before a solution could be tested.
  • As well as testing these ideas remotely with users over video call, we were able to take them to Chemistry Conferences in the USA, where we could conduct guerrilla testing with attendees at the company stall. This helped ensure a wider, less specialised understanding of how our search worked, as well as get a large number of results by which to measure our success.
Pages from a sketchbook showing sketched ideas around how a contextual search could work, providing prompts in drop-down, or building queries with logic operators like AND and NOT
Sketches showing explorations around ways that contextual search could work, including dropdown prompts to select context, and using logic operators like AND and NOT to build queries

“This is great. It really will save me a lot of time searching in the future.”

Corporate Researcher during testing at Materials Research Society Boston Conference 2016

Developing the homepage

As well as catering to the requirements of the scientists and researchers who used the platform, by examining the needs of the Buyer, we recognised that the homepage had three important roles:

  1. To provide a starting point for users to explore the content
  2. To update returning users with new developments
  3. To demonstrate value for non-technical users such as Buyers

We therefore redesigned the homepage to include the following features:

  • A summary of the different types of content for new users to explore,
  • A timeline of latest additions and improvements to update returning users
  • Details of the depth of information and sources to demonstrate value for Buyers

These changes were added over time, to accommodate the work around supporting these features, and other efforts on the database.

Before and after versions of the homepage, showing clearer layout, browsing prompts and latest developments
Before and after versions of the homepage, showing how we introduced clearer information and layout, browsing prompts and latest updates

Making data digital

One of the most fundamental solutions that we identified with the product, with the highest level of impact but also the greatest level of effort, was the fact that the data needed to be digitised. At the start of the project, data existed solely within the database as scanned-in pages from scientific books and journals, which frustrated users, and led to users feign that the product was not worth the subscription price.

it was this impact on subscription revenues that allowed me to petition Product Owners to organise a way of tackling this problem. Using Springer’s relationship with client institutions, they were able to find a group of post-doctorate scientists to work through the scanned pages, performing specialist data entry to extract and annotate data for the graph search database, converting the scanned data into a fully digitised format. This work took about a year to complete, but this had a profound effect on the how we could make Springer Materials more valuable to users.

Surfacing results early

The digitised data meant that we could include it within search results, meaning that simple questions could be answered sooner, and demonstrating value more quickly. These could be displayed as search snippets, filled with simple answers, that led on to pages with more complex insights.

Sketch of a search snippet - a box showing details such as the boiling point of water as 100 degrees Celsius, the chemical compound of water, and a small graph with further information below it
Sketch suggestion detailing the ways in which information could be surfaced early by providing simple details that inform users and lead them on to more in-depth information on subsequent pages

Working with data

We recognised that the majority users searched with the same pattern, namely a material (such as iron, benzene or carbon) and a property (such as boiling or melting point, band gap, or similar). By understanding this, we could use our newly digitised data to improve our offering:

  • When a user first searches for a material and property, then we can surface the simplest answer in the search snippet, as described above.
  • If the user wants more in-depth information, then they can click through to a page providing a dynamic graph, which uses the findings from scientific papers to plot data in a visual away, demonstrating the behaviour of the material and the property against a scale – for example, demonstrating how the boiling point of steel changes when submitted to different atmospheric pressures.
  • Alongside this graph, the results are also provided in a tabular format, which allows users to work with the data displayed in the graph. They can change criteria, expand or limit the dataset, all to ensure that they get the information they require for their purposes.
  • As the last part of the model we discovered, this data can then be exported into a range of format, such as visual images of the graph, or spreadsheets of the results, facilitating use in the user’s work.

“This is awesome. I don’t think anyone else is doing this. Where do I sign up to get it?”

Student Researcher during testing at American Chemistry Conference, Philadelphia 2016

Page of sketches showing information shown on different screens such as search results, graphs and tables, as well as the search snippets shown above
Sketches exploring how details can be surfaced progressively, providing key information early, leading on to more customised detail later on. These concepts helped me to explore concepts and develop solutions with my team.
A sketch and a screenshot of a page with a graph and tables of results for a characteristic of a material
My sketch and a screenshot of the results page – showing details of the behaviour of a property of a material that the user has searched for. The table below shows the information in numerical form for export and links for citations.

Retrospective

  • Our work reversed the customer attrition that 
the product was experiencing, and brought in new subscriptions from academic, corporate 
and other clients
  • Developing the digital data pages won accolades 
for the product as a “best in class” tool from the 
American Chemistry Society conference in 2016
  • In 2017, the Indian Government bought licences to provide the product in all libraries across their country
  • A site survey, run at the end of my tenure as UX design lead, showed that 69.2% classified the product as “great”, a 22% improvement on when I started.

Designing notifications, or how we could learn to love our phones again

Perhaps the problem isn’t the phone, but the way in which it interacts with you?

Introduction

Another day, another article providing a soul-searching insight into why quitting smartphones is the new quitting smoking. These articles seem to occur regularly in the media these days, with accounts of people who feel trapped by their overuse of their phones, how they feel that their digital life is impinging on their real life, with their phones turning into monsters that continually buzz at them with notifications. These articles end up preaching solutions such as digital detoxes, phone stacking in restaurants, and have quotes from people saying how much better they feel when they don’t have their phones switched on, or even with them.

For me, the problem doesn’t lie with the way we interact with our phones, it’s about how our phones interact with us. When the web giants such as a Facebook, Google and Amazon began to realise just how much money could be made by advertising, they not only cashed in, but began to manipulate their properties so that they could multiply their efforts. The way that this was achieved was by factoring in design and functionality that encouraged compulsive behaviour. You may have heard of the “slot machine” effect of the Facebook newsfeed, encouraging you to pull down and refresh to refresh your newsfeed and get that dopamine hit of new content, or feedback on your contributions (in the interests of fairness, this isn’t actually exclusive to Facebook, many other apps have the same action, with similar effects). Many sites and apps use patterns to encourage further participation, and to keep the user on their product, and, whether intentionally malicious or not, some of these can evolve into dark patterns.

One such dark pattern that’s prevalent on almost every mobile device I know of are notifications. Even if, like me, you’re very stringent on keeping notifications on your phone to a minimum, whenever you download a new app the assumption is that the app can, unless you tell it otherwise, make noises, put messages on your lock screen and show banners whenever it wants to. In order to curtail this, you have to go into your settings and specify what notifications you receive. Apple and Google have made this easier to access in recent years, but it’s still an opt-out process, rather than an opt-in one, and for good reason – app makers want your attention on their products, and so want this way of bombarding you with information regularly, in the hope that you will give in, click on the link, and buy the product. Chances are, you’re probably not quite as hardcore with your notifications, so just imagine how fewer ones you would receive if you could choose to opt-in, rather than have to make the effort to opt-out?

Chances are, companies such as Facebook and Google aren’t going to go away, and they will certainly be around longer than the time you decide to go on your digital detox and later decide to rejoin the connected world, and, what’s more, you can be pretty sure that a lot of your friends are still going to be using them. However, there is a rising tide of interest in how these companies conduct themselves; we’ve seen questions into fake news, how they structure content on your timeline, and whether they should be responsible for the media that appears on their platforms. In my view, we should be asking these companies to not only look at the content they provide, but also the way they provide it. They should work out what their relationship with their users are, and how that they can provide advertising and updates in a more conscientious way. These companies aren’t the only problem, but if we could get them to change and show the benefits of doing so, others may follow suit. Through better notification design, we could learn to love our phones once again.