Mastering UX Research: Best Practices for using QoQo.AI in UX User Research!

User Research Workflow with Coco AI as a UX Companion

In this video, the speaker discusses a user research workflow that utilizes Coco AI as a UX companion. The main problem addressed by Coco is the lack of resources for user research, such as limited time or budget constraints.

Introduction to the Workflow

• The workflow does not replace human-centric interaction or research but can be used as a knowledge graph or suggestion engine.

• Critical thinking is still required when using AI-generated results or insights.

• Applying critical thinking is important when interacting with stakeholders or conducting online research.

Why Choose Coco AI

• Other tools exist to address similar issues, but they may require memorizing prompts and lack quality results.

• Shared GPT, for example, may need modification and technical knowledge.

• Free versions of shared GPT are not private and share provided information for model refinement.

• Coco saves time by working directly in design tools like Figma without the need for copy-pasting between multiple screens.

Getting Started with Coco

• To access Coco, search for it in the Figma community or logins tab within Figma.

• Features include a chat assistant for brainstorming, product briefs to understand challenges and risks, user interviews with question guides, persona generation, user journey mapping, UX copywriting suggestions, and design checklists.

Exploring Coco's Features

This section provides an overview of the various features available in Coco AI.

Chat Assistant

• Can be used for brainstorming ideas.

Product Briefs

• Provides exposure to challenges and risks before starting work on a product.

User Interviews

• Offers question guides instead of searching online for templates.

Persona Generation

• Generates Proto Personas based on specific use cases.

User Journey Mapping

• Helps explore the phases a specific Persona goes through when interacting with a product.

UX Copywriting

• Provides suggestions for copy in product design.

Design Checklist

• Assists in understanding the elements and components required in the final design.

The transcript is already in English, so there is no need to respond in another language.

Generating Fake Briefs for Digital Transformation

The speaker discusses the use of a website called fakelines.com to generate fake briefs or clients for digital transformation projects. This can be useful when there is a need to gain quick access to knowledge about users without a budget for extensive research.

Using Fakelines.com for Fake Briefs

• Fakelines.com is a website that generates fake briefs or clients.

• It can be used to create fictional scenarios for digital transformation projects.

• In this case, the example given is a clothing store going through a digital transformation.

Key Points

• The clothing store wants to build an online store and maximize efforts to meet customer needs.

• They stand for luxury, efficiency, and honesty.

• The online store should reflect these values and provide an easy and effective design.

Challenges in Understanding Stakeholder Vision

The speaker discusses the challenges that may arise when trying to understand stakeholder vision during a digital transformation project. Budget constraints and stakeholder assumptions can impact the accuracy of their vision.

Understanding Stakeholder Vision

• Kickoff sessions with stakeholders are typically conducted to understand their vision and pain points.

• However, budget constraints may prevent conducting such sessions.

• In many cases, stakeholder vision does not accurately reflect the reality on the ground.

• Assumptions made by stakeholders may not be valid or viable.

Gaining Quick Access to User Knowledge

The speaker suggests using tools like Figma to gain quick access to knowledge about users when there is limited budget or time for extensive research. They demonstrate how personas can be created using Figma's Persona feature.

Using Figma for Persona Creation

• Figma can be used to create personas quickly.

• The example given is creating a persona for a 25 to 34-year-old Australian luxury clothes shopper.

• The scenario is focused on using an online webshop to buy luxury clothes, designer shoes, and accessories.

Enriching Personas with Research Findings

The speaker explains how Figma allows users to enrich personas with their own research findings. Sticky notes can be added to capture additional insights and opportunities.

Enriching Personas in Figma

• After generating a fictional persona in Figma, users can explore and understand more about the persona.

• Users can conduct their own research and add insights or outcomes from the research using sticky notes in Figma.

• Personas include user goals, needs, motivations, frustrations, and opportunities.

Identifying Opportunities for Product Improvement

The speaker highlights the importance of identifying opportunities for product improvement based on the insights gained from personas. They discuss how these opportunities can impact the design process.

Identifying Opportunities

• Opportunities identified through personas can help improve the product or service being designed.

• Examples of opportunities include discovering designers and brands, finding unique pieces, and offering exclusive prices.

Timestamps are approximate and may vary slightly depending on the source video.

Importance of Personalization and Loyalty Programs

The speaker discusses the importance of personalized recommendations in newsletters, building a collection of high-quality items, attending exclusive events and sales, and joining loyalty programs. Loyalty programs are highlighted as a crucial factor in retaining customers and turning them into returning buyers and advocates for the product or service.

• Personalized recommendations in newsletters help to engage customers.

• Building a collection of high-quality items is important for customer satisfaction.

• Attending exclusive events and sales can create a sense of exclusivity for customers.

• Joining loyalty programs encourages customer loyalty and repeat purchases.

• Loyalty programs are essential for keeping clients coming back.

Insights on Loyalty Programs

The speaker shares an example of their wife's experience with loyalty programs, emphasizing that they play a significant role in turning customers into returning buyers. They mention that discussing the importance of loyalty programs with clients or stakeholders is crucial, even if it may not be commonly discussed in interviews.

• The speaker's wife collects over 30 loyalty cards and is a loyal customer due to the benefits provided by these programs.

• Loyalty programs help to retain customers and prevent them from being one-time buyers.

• Advocating for the inclusion of loyalty programs when discussing strategies with clients or stakeholders is important.

Multiple Personas and Archetypical Persona Creation

The speaker explains that there are often multiple personas to consider, using an example where they had three internal personas and three external personas. They discuss creating an archetypical persona based on insights from AI-generated data combined with human research. This archetypical persona helps simplify the design process, especially when working on minimum viable products (MVPs).

• In many cases, there are multiple personas to consider rather than just one.

• The speaker shares an example of working with three internal and three external personas.

• An archetypical persona is created by combining insights from AI-generated data and human research.

• This archetypical persona helps in designing MVPs and streamlining the user experience.

User Journey Mapping for Better Understanding

The speaker discusses the benefits of user journey mapping to gain a deeper understanding of the persona's interaction with the product or service. They explain that user journey mapping provides additional insights beyond stakeholder interviews, helping to eliminate biases and uncover hidden information.

• User journey mapping provides a deeper understanding of how the persona interacts with the product or service.

• It goes beyond stakeholder interviews and helps eliminate biases.

• User journey mapping uncovers hidden insights about the persona's behavior and preferences.

• It can be used to gain exposure to the persona's needs, motivations, and pain points.

Generating User Journey Maps

The speaker demonstrates how to generate a user journey map using a tool called Coco AI. They explain that this tool imports insights from AI results and interviews, allowing for clustering or affinity mapping. By generating a user journey map, designers can have a clearer visualization of different phases users go through when interacting with their product or service.

• Coco AI is used to generate user journey maps by importing insights from AI results and interviews.

• Clustering or affinity mapping helps group similar insights together.

• User journey maps provide a visual representation of different phases users go through when interacting with a product or service.

Insights from User Journey Maps

The speaker explains that before conducting user interviews, they gain initial insights about the persona through user journey maps. These maps help expose any biases held by stakeholders or designers. Additionally, they mention that building user journey maps can provide further exposure to the persona and their interaction with the product or service.

• User journey maps provide initial insights about the persona before conducting user interviews.

• They help eliminate biases held by stakeholders or designers.

• Building user journey maps provides further exposure to the persona and their interaction with the product or service.

Opportunities and Epics in User Journey Maps

The speaker discusses opportunities in user journey maps, which are high-level epics that designers should consider. They mention an example of offering flexible payment options as an opportunity, which could involve partnering with a service that offers buy now pay later or other payment methods.

• Opportunities in user journey maps are high-level epics for designers to consider.

• Offering flexible payment options is mentioned as one such opportunity.

• Partnering with services that offer buy now pay later or other payment methods can fulfill this opportunity.

New Section

In this section, the speaker discusses the implementation of features in an MVP or web store and the consideration of a loyalty program.

Implementing Features in an MVP or Web Store

• The speaker suggests determining if a feature can be achieved in an MVP or first release of a web store. If it is too complicated, it may need to be put in a backlog for future implementation.

• The topic of implementing a loyalty program is brought up, and questions are raised about how to count points and implement it in the product.

New Section

This section explores how AI can enhance user research and the potential benefits of offering flexible payment options.

Enriching User Research with AI

• The speaker suggests that AI could enrich user research by providing insights beyond what users directly share through feedback.

• Offering flexible payment options is discussed as an example where AI could help identify users who may be reluctant to disclose financial constraints.

New Section

This section delves into extracting sensitive information from users and designing interview questions based on AI suggestions.

Extracting Sensitive Information with AI Suggestions

• The challenge of extracting sensitive information, such as financial constraints, from users is highlighted.

• AI suggestions are proposed as a way to expand horizons and think beyond traditional user feedback during research.

• Following up on payment options with interview questions is suggested after using AI to cover related topics.

New Section

This section emphasizes the importance of designing interview questions based on persona and user experience.

Designing Interview Questions

• The speaker suggests that after understanding the persona and possible user experiences, it is essential to design specific interview questions.

• User interviews are introduced as the next step in the research process.

New Section

This section discusses setting up user interviews and provides an example scenario.

Setting Up User Interviews

• The speaker mentions switching to user interviews and refers to a scenario involving an Australian online shopper.

• Four topics for discussion during the interviews are suggested, including understanding the persona, current shopping habits, payment preferences, and wishlist items.

New Section

This section provides guidance on structuring interview topics and time allocation.

Structuring Interview Topics

• It is recommended to limit interview topics to four due to time constraints (typically 30-60 minutes).

• Suggestions for each topic include understanding the persona's details, exploring current shopping habits (online vs. physical stores), discussing payment preferences, and gathering wishlist items.

New Section

This section emphasizes refining interview questions and generating a document for further refinement.

Refining Interview Questions

• The importance of refining interview questions is highlighted before generating a document for further refinement.

• An example workflow is provided where suggestions from AI are copied into a document for adding a designer's touch.

New Section

This section demonstrates how AI generates sample interview questions based on selected topics.

AI-Generated Interview Questions

• The speaker showcases the AI-generated interview questions, which can be copied into a document for further refinement.

• The generated questions cover various aspects, including an introduction to the call, persona-related inquiries, and specific shopping preferences.

Timestamps are provided in seconds (s) format.

AI in Design Workflow

In this section, the speaker discusses how AI can be leveraged in the design workflow to gain insights and make informed decisions.

How to Decide Which Product to Buy

• Users consider various criteria when deciding which product to buy, such as presentation and price.

• The insights gained from understanding user decision-making can be used to improve online stores by highlighting important factors like price or discounts.

• Reading reviews is an important aspect of social proofing for users when considering a product or service.

Importance of Social Proofing

• Reviews play a crucial role in influencing user decisions after visiting a website or online store.

• Designers should include questions about online reviews in their interviews to understand the significance of social proofing.

Leveraging AI in Design Workflow

• AI tools can provide valuable insights that help designers save time and collaborate effectively with other team members.

• By using AI tools, designers can conduct research more efficiently and have a solid foundation for their projects.

Upcoming Features of Coco

This section highlights some upcoming features of Coco, including information architecture, affinity mapping, long-term memory, and project document analysis.

Upcoming Features

• Coco is working on improving information architecture through features like affinity mapping and clustering to identify similarities within feedback groups.

• Long-term memory will be introduced to enhance the retention and retrieval of information within Coco.

• Project document analysis will allow users to upload PDF or Word documents containing user interviews. The AI will extract insights from these documents, automating manual work.

Conclusion

The speaker concludes by encouraging users to provide feedback or suggestions via email. They also provide links to access Coco and their website.

Please note that the timestamps provided are approximate and may not be exact.