Dyson self-service support

Client:
Dyson
Sector:
Private, e-commerce
My role:
UX & project lead
Project time:
June - January 2020

For almost 7 months in 2019 I was seconded to work at the Dyson head office in Malmsbury to work as a Senior UX Researcher, leading a multi-year project that aimed to improve the support service offered to Dyson owners.

Overview

My brief was formed from insights gathered via feedback forms and analytics that showed the support section had low satisfaction and accomplishment rates for customers, thus driving calls to the contact centre and creating general dissatisfaction.

The brief was to conduct a holistic review of the users’ experience for both self-service support propositions and the purchase journeys of spares and tools via the support area. My objective was to increase customer accomplishment and satisfaction rates for the key self-service after-sales journeys, which were monitored through NPS, feedback forms and a reduction the number of calls to contact centre.

Within my role, I was responsible for creating the project plan and choosing the correct methodologies for the research and design. I worked alongside a BA, Product Owner and Project Manager, so I was the main practitioner on for executing the research and overseeing the project delivery. My team worked within the IT department, which was often in conflict with the primary owners of the global sites: the commercial team. Therefore i often had to work closely across both teams in order to move the project forward.

There were a number of other challenges to overcome for the project:

  • The commercial team were disillusioned with the prior UX resource on the project, meaning I had to win over some hearts and minds along the way
  • The sites I was targeting (UK, US, Canada & Ireland) for initial improvements are all culturally different, with nuances within each market for how the support areas were populated, governed and the services behind the scenes
  • Previous research on the subject had produced conflicting findings, requiring me to undertake further research to create a more reliable set of findings
  • The sheer amount of different teams and stakeholders involved, coupled with the deep routed secrecy embedded into staff within the company that prohibits cross collaboration

Discovery

When I joined the project, some work had been started within the discovery phase, this focused largely on the GB market and aimed to benchmark and understand existing pain points and potential opportunities for improvements. The discovery phase included:

  • UX review of as-is support
  • Help centre shadowing
  • Workshop with Dyson Experts
  • Usability testing of as-is support

My involvement from here was to synthesise the desktop research completed and create a hypothesis from which to continue the research. It seemed clear that there was more research to be done on understanding the efficiency of the navigation within the support area, and the fortunately the global navigation & information architecture were being considered in a separate stream of work during this time, so i was able to work closely with the UX team on that stream of work to incorporate the necessary support tasks into tree-jack tests they were running. ‍‍

The discovery outputs were divided into short and long term focuses of work.

The short term changes involved addressing pain-points that had been identified via the activities conducted. These were mostly changes that could be made within the CMS, to avoid the long lead times involved with development.

Long term outputs were changes that couldn’t be applied via the CMS, or that required further testing & investigation were then taken into a review of the structure. I  divided these into three projects:

  • Validating product first support
  • Spare parts and tools purchase journey improvements
  • Troubleshooting

Validating a 'product first' approach to support

Diagram showing the current (previous) structure

From the interviews, tree-tests and comparator research I had a good indication that the segmented structure of the support area wasn't suited to the users' typical behaviour when trying to self-serve. So my next steps were to try and understand whether a re-structure could increase fundability of content and increase satisfaction.

I conducted further usability testing sessions which achieved:

  • Understanding of how participants try to resolve support tasks
  • Collected feedback on the ease of findability of the new structure
  • Understanding of where users expect to find Getting Started, Usage & Maintenance content
  • Collected feedback on how users perceive forms as a method of contact

Diagram showing the new structure that was tested

The sessions were run locally, in the UK and the findings were positive towards the new structure - all participants responded well to the alternative structure. There was a reduction in time spent locating content comparatively to the current structure as well as praise for usability. Note, for fairness, a prototype was created that showcased both structures in equal fidelity, participants were not made aware of which was the newer or older versions and the tasks were comparable.

The learnings from this research was well received within Dyson, however, we pushed for a wider set of participants to validate the structure with. So our next step was to test with participants in the US, Canada and Ireland across various devices. For this I used UserZoom’s unmoderated testing facility, as we weren’t able to travel abroad or hand the research over to teams in each market.

On reflection, this unmoderated testing was a poor choice of methodology for the project; the findings were far less insightful than anticipated and the time involved to review the testing videos was far greater than having remote interview sessions with participants. If we were to run similar sessions again in the future, I’d push for recruiting participants in each market and running remote interviews instead of unmoderated. The extra expense in recruitment & incentive fees are outweighed by the reduction in time spent trawling through 100s of useless videos and hunting for any insightful findings.

Improving purchase journeys for parts and tools

These sessions were broken up to include a card sorting session and a review of a prototype that portrayed a concept for the product first structure.

Card Sorting

This was carried out by using 30 printed out cards that showed an image of a spare part or tool for a popular vacuum. Participants were asked to group these together in collections that made sense to them. Participants were then asked to describe each group of items, which led to fairly ambiguous labels that were highly contextual to their own ideals. So, the participants were asked to think whether they would re-name these labels if they were to describe this category to a friend. This gave the participants the chance to think of the label in both a personal, and a universally understandable way.

Outputs of work

With the structure validated, we then went onto migrating and updating the content, which involved:

  • Auditing the machine catalogue (there’s ~900 variations!)
  • Map assets (guides, content, parts, tools etc) to earliest instance
  • Work with content teams across markets to update processes
  • Bring brand content teams on-board with reviewing PDF guides
  • Identify bespoke solutions for ‘problem’ models
  • Move away from the ‘sales categories’ that don’t reflect user’s assumptions
  • Produce principles that other countries can use to follow the same process as language and terms were very location specific.

Final deliverables:

  • User journeys mapped to the new structure
  • Content guidelines
  • Wireframes and page templates
  • Interactive prototypes to display intended interactions and animations
  • Acceptance Criteria

What we achieved

The new support area was updated and delivered in late 2020, within the first 3 months we discovered that:

  • Average time to find a upright vacuum - 40 seconds (64% decrease)
  • Average time to find a stick vacuum - 40 seconds (59% decrease)
  • Exit rate on landing page - 15.21% (52.04% decrease)
  • Exit rate on upright vacuum - 8.44% (48.59% decrease)
  • Exit rate on stick vacuum - 7.51% (42.09% decrease)

Previously, in a worst case scenario, a user would have to choose between 60 variants.A worst case scenario in my new structure, a user would have to choose between 13 options, clearly defined by colour not SKU name (80% fewer choices)


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