Discovery and define

Overview

This page covers my work on research, analysis and planning. There are also samples where I used generative AI as part of my process like research.

Content strategy: planning for content required for launching an online UX design course

For the development of UX Playground's online UX design course, one of the requirements was to reuse relevant existing content for the curriculum. During the planning phase, a content strategy plan was created to identify if we needed to create new content. By considering the business goals and user needs, the plan provided a useful reference to understand the tasks required to complete development and launch of the online course.

Content strategy for develop a design course

The content strategy plan in Miro, highlighting what course content is required for launching the online UX design course.

Data analysis: reporting on community event performances

When UX Playground started running online events via Zoom, I analysed the event data collected to learn about the demographics and engagement levels during the sessions. I compiled my analysis of metrics like attendance numbers, location of attendees, and chat participation into a reporting deck. This allowed the team to review the performance of each event and how they compare based on the different topic areas covered, providing valuable insights on optimising future community events.

Pivot table in Google Sheet

Created a pivot table to analyse and extract insights from a UX Playground event on Google Sheets. The data is based on the data collected by Zoom.

Data charts in Google Sheet

Created charts and tables to visually represent the data.

Event reporting deck in Google Slides

Created an event reporting deck for the team to review a session after an event.

Data analysis: identifying success UX metrics for a design course

I did an activity to learn about how to identify potential UX metrics for projects. One framework I discovered was a combination of HEART and PULSE integrated into a GSM matrix. I applied this onto UX Playground's UX design course to identify potential success metrics based on feedback collected from the participant survey. Generally, businesses collect overwhelming amounts of data and I find the framework to be useful for strategic planning.

UX metrics for a design course in a GSM matrix with HEART and PULSE

Based on the participant survey, some metrics idenfied include: partipants enjoying the project based on testimonials and high satisfaction ratings.

Journey mapping and personas: streamlining an event speaker management process

UX Playground frequently hosted events featuring guest speakers. To help manage resources, we created journey maps covering the end-to-end speaker management process. Personas were used to identify the various roles and responsibilities involved, as well as touchpoints for communicating key information between stakeholders. This activity clarified expectations between the team and event partners, resulting in an optimised speaker management process.

Journey mapping for event speaker managemenent in Miro

A detailed journey map in Miro, covering the touchpoints and personas involved for managing a guest speaker for a UX Playground event.

Personas highlighting the roles and responsibilities in Miro

The personas highlighted the roles and responsibilites of those involved in the process. It also highlighted resources and deliverables required and tasks the team needs to do. The review column contains feedback from the team on what information is missing and if the journey maps made sense.

Secondary research: competitor analysis and market research of UX design courses to inform course development.

To inform the development of UX Playground's online UX design course, I conducted market research and competitor analysis of other courses to gather insights into their teaching methods, durations, prices and customer feedback. The analysis provided useful references in helping my team to determine the appropriate pricing, optimal duration and effective teaching approach for the online course.

Using Airtable for secondary research

Competitor analysis and market research data for remote design courses in Airtable.

Visited the UXDesign subreddit to gather feedback on competitor courses

An example critical feedback from a user about a design course from the r/UXDesign subreddit.

Secondary research: leveraging generative AI for researching "Sound and AI" for Capgemini's Level Up event

At UX Playground, me and my team had the opportunity to present at Capgemini's 'Level Up' event, with the topic theme focused on 'generative AI'. Based on the success of our previous research presentation on sound design in user experience, we decided to explore how AI could enhance our secondary research process for this follow-up presentation. The project was a great opportunity for me to explore different AI tools and gain valuable insights into current AI capabilities and limitations for design research.

Using Perplexity for secondary research

To efficiently conduct secondary research, I used Perplexity to help source relevant information. The AI answers were compiled in FigJam, where key insights were directly extracted from the sources based on their relevance to addressing the research goals.

Example of Perplexity providing information about ElevenLabs

A prompt asking Perplexity to find and provide information about ElevenLabs, an AI text-to-speech software.

Secondary research: thematic analysis for article topics

The UX Playground team wanted to publish a series of articles on multisensory design and technology as a new community initiative. Having previously compiled research findings into spreadsheets and databases (Google Sheets and Airtable), I used this opportunity to explore research tools like Userbit to better support data analysis. The tool enabled thematic analysis of data, allowing me to efficiently extract meaningful insights for creating articles. The tagging feature streamlined collaboration, enabling strategic planning and organisation of recurring themes from our research. These insights informed development of the content roadmap for the articles.

Categorising tags for highlighting research data in Userbit

Organising tags into categories in Userbit.

Identifying and tagging insights in Userbit.

Applying thematic analysis on a research paper using tags created in Userbit.