WELL BEING
WELL BEING
Well Being Studio, we offer a comprehensive range of holistic wellness services tailored to meet your individual needs and goals. From yoga and meditation classes to massage therapy and healing sessions
Product
Sadako Ching
What I did
2023
My role
Marketplace
Time line
Research
Research
Informing decision-making: Research provides data and evidence to support design decisions. It helps designers make informed choices about layout, color schemes, typography, and other design elements, leading to more effective and user-friendly websites
Informing decision-making: Research provides data and evidence to support design decisions. It helps designers make informed choices about layout, color schemes, typography, and other design elements, leading to more effective and user-friendly websites
Research
Informing decision-making: Research provides data and evidence to support design decisions. It helps designers make informed choices about layout, color schemes, typography, and other design elements, leading to more effective and user-friendly websites
Design
Design
Usability and Accessibility: Good design considers the needs and preferences of users, ensuring that the website is easy to navigate and understand. Intuitive navigation, clear hierarchy, and logical organization of content enhance usability and accessibility, allowing users to find what they are looking for quickly and easily
Usability and Accessibility: Good design considers the needs and preferences of users, ensuring that the website is easy to navigate and understand. Intuitive navigation, clear hierarchy, and logical organization of content enhance usability and accessibility, allowing users to find what they are looking for quickly and easily
Design
Usability and Accessibility: Good design considers the needs and preferences of users, ensuring that the website is easy to navigate and understand. Intuitive navigation, clear hierarchy, and logical organization of content enhance usability and accessibility, allowing users to find what they are looking for quickly and easily
Development
Development
Development optimizes the website's performance by optimizing code, reducing file sizes, and improving loading times. A fast-loading website enhances user experience, reduces bounce rates, and improves search engine rankings
Target Audience:
Challenge: The experiment targeted all users visiting the product tour, 30% were already logged in and not in the target demographic.
Lesson: Narrow the target audience to new to new users (N2N) for future experiments.
Experiment Visibility:
Challenge: The demo was placed below the fold, with only 37% of users scrolling
to view it.Lesson: Ensure interactive elements are visible above the fold to maximize exposure.
Data Dilution:
Challenge: The exposure event fired at page load, including users who never interacted with the demo.
Lesson: Redefine exposure criteria to reflect actual interaction.
Target Audience:
Challenge: The experiment targeted all users visiting the product tour, 30% were already logged in and not in the target demographic.
Lesson: Narrow the target audience to new to new users (N2N) for future experiments.
Experiment Visibility:
Challenge: The demo was placed below the fold, with only 37% of users scrolling
to view it.Lesson: Ensure interactive elements are visible above the fold to maximize exposure.
Data Dilution:
Challenge: The exposure event fired at page load, including users who never interacted with the demo.
Lesson: Redefine exposure criteria to reflect actual interaction.
Target Audience:
Challenge: The experiment targeted all users visiting the product tour, 30% were already logged in and not in the target demographic.
Lesson: Narrow the target audience to new to new users (N2N) for future experiments.
Experiment Visibility:
Challenge: The demo was placed below the fold, with only 37% of users scrolling
to view it.Lesson: Ensure interactive elements are visible above the fold to maximize exposure.
Data Dilution:
Challenge: The exposure event fired at page load, including users who never interacted with the demo.
Lesson: Redefine exposure criteria to reflect actual interaction.
Target Audience:
Challenge: The experiment targeted all users visiting the product tour, 30% were already logged in and not in the target demographic.
Lesson: Narrow the target audience to new to new users (N2N) for future experiments.
Experiment Visibility:
Challenge: The demo was placed below the fold, with only 37% of users scrolling
to view it.Lesson: Ensure interactive elements are visible above the fold to maximize exposure.
Data Dilution:
Challenge: The exposure event fired at page load, including users who never interacted with the demo.
Lesson: Redefine exposure criteria to reflect actual interaction.
Target Audience:
Challenge: The experiment targeted all users visiting the product tour, 30% were already logged in and not in the target demographic.
Lesson: Narrow the target audience to new to new users (N2N) for future experiments.
Experiment Visibility:
Challenge: The demo was placed below the fold, with only 37% of users scrolling
to view it.Lesson: Ensure interactive elements are visible above the fold to maximize exposure.
Data Dilution:
Challenge: The exposure event fired at page load, including users who never interacted with the demo.
Lesson: Redefine exposure criteria to reflect actual interaction.
Target Audience:
Challenge: The experiment targeted all users visiting the product tour, 30% were already logged in and not in the target demographic.
Lesson: Narrow the target audience to new to new users (N2N) for future experiments.
Experiment Visibility:
Challenge: The demo was placed below the fold, with only 37% of users scrolling
to view it.Lesson: Ensure interactive elements are visible above the fold to maximize exposure.
Data Dilution:
Challenge: The exposure event fired at page load, including users who never interacted with the demo.
Lesson: Redefine exposure criteria to reflect actual interaction.
Target Audience:
Challenge: The experiment targeted all users visiting the product tour, 30% were already logged in and not in the target demographic.
Lesson: Narrow the target audience to new to new users (N2N) for future experiments.
Experiment Visibility:
Challenge: The demo was placed below the fold, with only 37% of users scrolling
to view it.Lesson: Ensure interactive elements are visible above the fold to maximize exposure.
Data Dilution:
Challenge: The exposure event fired at page load, including users who never interacted with the demo.
Lesson: Redefine exposure criteria to reflect actual interaction.
Target Audience:
Challenge: The experiment targeted all users visiting the product tour, 30% were already logged in and not in the target demographic.
Lesson: Narrow the target audience to new to new users (N2N) for future experiments.
Experiment Visibility:
Challenge: The demo was placed below the fold, with only 37% of users scrolling
to view it.Lesson: Ensure interactive elements are visible above the fold to maximize exposure.
Data Dilution:
Challenge: The exposure event fired at page load, including users who never interacted with the demo.
Lesson: Redefine exposure criteria to reflect actual interaction.
Development optimizes the website's performance by optimizing code, reducing file sizes, and improving loading times. A fast-loading website enhances user experience, reduces bounce rates, and improves search engine rankings
Target Audience:
Challenge: The experiment targeted all users visiting the product tour, 30% were already logged in and not in the target demographic.
Lesson: Narrow the target audience to new to new users (N2N) for future experiments.
Experiment Visibility:
Challenge: The demo was placed below the fold, with only 37% of users scrolling
to view it.Lesson: Ensure interactive elements are visible above the fold to maximize exposure.
Data Dilution:
Challenge: The exposure event fired at page load, including users who never interacted with the demo.
Lesson: Redefine exposure criteria to reflect actual interaction.
Target Audience:
Challenge: The experiment targeted all users visiting the product tour, 30% were already logged in and not in the target demographic.
Lesson: Narrow the target audience to new to new users (N2N) for future experiments.
Experiment Visibility:
Challenge: The demo was placed below the fold, with only 37% of users scrolling
to view it.Lesson: Ensure interactive elements are visible above the fold to maximize exposure.
Data Dilution:
Challenge: The exposure event fired at page load, including users who never interacted with the demo.
Lesson: Redefine exposure criteria to reflect actual interaction.
Target Audience:
Challenge: The experiment targeted all users visiting the product tour, 30% were already logged in and not in the target demographic.
Lesson: Narrow the target audience to new to new users (N2N) for future experiments.
Experiment Visibility:
Challenge: The demo was placed below the fold, with only 37% of users scrolling
to view it.Lesson: Ensure interactive elements are visible above the fold to maximize exposure.
Data Dilution:
Challenge: The exposure event fired at page load, including users who never interacted with the demo.
Lesson: Redefine exposure criteria to reflect actual interaction.
Target Audience:
Challenge: The experiment targeted all users visiting the product tour, 30% were already logged in and not in the target demographic.
Lesson: Narrow the target audience to new to new users (N2N) for future experiments.
Experiment Visibility:
Challenge: The demo was placed below the fold, with only 37% of users scrolling
to view it.Lesson: Ensure interactive elements are visible above the fold to maximize exposure.
Data Dilution:
Challenge: The exposure event fired at page load, including users who never interacted with the demo.
Lesson: Redefine exposure criteria to reflect actual interaction.
Development
Development optimizes the website's performance by optimizing code, reducing file sizes, and improving loading times. A fast-loading website enhances user experience, reduces bounce rates, and improves search engine rankings
Target Audience:
Challenge: The experiment targeted all users visiting the product tour, 30% were already logged in and not in the target demographic.
Lesson: Narrow the target audience to new to new users (N2N) for future experiments.
Experiment Visibility:
Challenge: The demo was placed below the fold, with only 37% of users scrolling
to view it.Lesson: Ensure interactive elements are visible above the fold to maximize exposure.
Data Dilution:
Challenge: The exposure event fired at page load, including users who never interacted with the demo.
Lesson: Redefine exposure criteria to reflect actual interaction.
Target Audience:
Challenge: The experiment targeted all users visiting the product tour, 30% were already logged in and not in the target demographic.
Lesson: Narrow the target audience to new to new users (N2N) for future experiments.
Experiment Visibility:
Challenge: The demo was placed below the fold, with only 37% of users scrolling
to view it.Lesson: Ensure interactive elements are visible above the fold to maximize exposure.
Data Dilution:
Challenge: The exposure event fired at page load, including users who never interacted with the demo.
Lesson: Redefine exposure criteria to reflect actual interaction.
Target Audience:
Challenge: The experiment targeted all users visiting the product tour, 30% were already logged in and not in the target demographic.
Lesson: Narrow the target audience to new to new users (N2N) for future experiments.
Experiment Visibility:
Challenge: The demo was placed below the fold, with only 37% of users scrolling
to view it.Lesson: Ensure interactive elements are visible above the fold to maximize exposure.
Data Dilution:
Challenge: The exposure event fired at page load, including users who never interacted with the demo.
Lesson: Redefine exposure criteria to reflect actual interaction.
Target Audience:
Challenge: The experiment targeted all users visiting the product tour, 30% were already logged in and not in the target demographic.
Lesson: Narrow the target audience to new to new users (N2N) for future experiments.
Experiment Visibility:
Challenge: The demo was placed below the fold, with only 37% of users scrolling
to view it.Lesson: Ensure interactive elements are visible above the fold to maximize exposure.
Data Dilution:
Challenge: The exposure event fired at page load, including users who never interacted with the demo.
Lesson: Redefine exposure criteria to reflect actual interaction.
Concept
Concept
Informing decision-making: Research provides data and evidence to support design decisions. It helps designers make informed choices about layout, color schemes, typography, and other design elements, leading to more effective and user-friendly websites
Data Analysis:
Analyzed A/B testing results and heatmap data from the previous timeline demo to understand user behaviors and drop-off points.
Identified areas for improvement, such as visibility and step completion rates.
Workshops:
Facilitated a Crazy Eights workshop with PMs, engineers, and stakeholders to generate ideas and align on the demo's user flow.
Prioritized simplicity and engagement to maximize impact.
Design and Development:
Built a streamlined version of Jira Software, focused on board and issue features.
Added content-populated guiding cards and interactive elements (editable fields, pre-filled content) to create an engaging, step-by-step demo experience.
Data Analysis:
Analyzed A/B testing results and heatmap data from the previous timeline demo to understand user behaviors and drop-off points.
Identified areas for improvement, such as visibility and step completion rates.
Workshops:
Facilitated a Crazy Eights workshop with PMs, engineers, and stakeholders to generate ideas and align on the demo's user flow.
Prioritized simplicity and engagement to maximize impact.
Design and Development:
Built a streamlined version of Jira Software, focused on board and issue features.
Added content-populated guiding cards and interactive elements (editable fields, pre-filled content) to create an engaging, step-by-step demo experience.
Data Analysis:
Analyzed A/B testing results and heatmap data from the previous timeline demo to understand user behaviors and drop-off points.
Identified areas for improvement, such as visibility and step completion rates.
Workshops:
Facilitated a Crazy Eights workshop with PMs, engineers, and stakeholders to generate ideas and align on the demo's user flow.
Prioritized simplicity and engagement to maximize impact.
Design and Development:
Built a streamlined version of Jira Software, focused on board and issue features.
Added content-populated guiding cards and interactive elements (editable fields, pre-filled content) to create an engaging, step-by-step demo experience.
Data Analysis:
Analyzed A/B testing results and heatmap data from the previous timeline demo to understand user behaviors and drop-off points.
Identified areas for improvement, such as visibility and step completion rates.
Workshops:
Facilitated a Crazy Eights workshop with PMs, engineers, and stakeholders to generate ideas and align on the demo's user flow.
Prioritized simplicity and engagement to maximize impact.
Design and Development:
Built a streamlined version of Jira Software, focused on board and issue features.
Added content-populated guiding cards and interactive elements (editable fields, pre-filled content) to create an engaging, step-by-step demo experience.
Informing decision-making: Research provides data and evidence to support design decisions. It helps designers make informed choices about layout, color schemes, typography, and other design elements, leading to more effective and user-friendly websites
Data Analysis:
Analyzed A/B testing results and heatmap data from the previous timeline demo to understand user behaviors and drop-off points.
Identified areas for improvement, such as visibility and step completion rates.
Workshops:
Facilitated a Crazy Eights workshop with PMs, engineers, and stakeholders to generate ideas and align on the demo's user flow.
Prioritized simplicity and engagement to maximize impact.
Design and Development:
Built a streamlined version of Jira Software, focused on board and issue features.
Added content-populated guiding cards and interactive elements (editable fields, pre-filled content) to create an engaging, step-by-step demo experience.
Data Analysis:
Analyzed A/B testing results and heatmap data from the previous timeline demo to understand user behaviors and drop-off points.
Identified areas for improvement, such as visibility and step completion rates.
Workshops:
Facilitated a Crazy Eights workshop with PMs, engineers, and stakeholders to generate ideas and align on the demo's user flow.
Prioritized simplicity and engagement to maximize impact.
Design and Development:
Built a streamlined version of Jira Software, focused on board and issue features.
Added content-populated guiding cards and interactive elements (editable fields, pre-filled content) to create an engaging, step-by-step demo experience.
Data Analysis:
Analyzed A/B testing results and heatmap data from the previous timeline demo to understand user behaviors and drop-off points.
Identified areas for improvement, such as visibility and step completion rates.
Workshops:
Facilitated a Crazy Eights workshop with PMs, engineers, and stakeholders to generate ideas and align on the demo's user flow.
Prioritized simplicity and engagement to maximize impact.
Design and Development:
Built a streamlined version of Jira Software, focused on board and issue features.
Added content-populated guiding cards and interactive elements (editable fields, pre-filled content) to create an engaging, step-by-step demo experience.
Data Analysis:
Analyzed A/B testing results and heatmap data from the previous timeline demo to understand user behaviors and drop-off points.
Identified areas for improvement, such as visibility and step completion rates.
Workshops:
Facilitated a Crazy Eights workshop with PMs, engineers, and stakeholders to generate ideas and align on the demo's user flow.
Prioritized simplicity and engagement to maximize impact.
Design and Development:
Built a streamlined version of Jira Software, focused on board and issue features.
Added content-populated guiding cards and interactive elements (editable fields, pre-filled content) to create an engaging, step-by-step demo experience.
Concept
Informing decision-making: Research provides data and evidence to support design decisions. It helps designers make informed choices about layout, color schemes, typography, and other design elements, leading to more effective and user-friendly websites
Data Analysis:
Analyzed A/B testing results and heatmap data from the previous timeline demo to understand user behaviors and drop-off points.
Identified areas for improvement, such as visibility and step completion rates.
Workshops:
Facilitated a Crazy Eights workshop with PMs, engineers, and stakeholders to generate ideas and align on the demo's user flow.
Prioritized simplicity and engagement to maximize impact.
Design and Development:
Built a streamlined version of Jira Software, focused on board and issue features.
Added content-populated guiding cards and interactive elements (editable fields, pre-filled content) to create an engaging, step-by-step demo experience.
Data Analysis:
Analyzed A/B testing results and heatmap data from the previous timeline demo to understand user behaviors and drop-off points.
Identified areas for improvement, such as visibility and step completion rates.
Workshops:
Facilitated a Crazy Eights workshop with PMs, engineers, and stakeholders to generate ideas and align on the demo's user flow.
Prioritized simplicity and engagement to maximize impact.
Design and Development:
Built a streamlined version of Jira Software, focused on board and issue features.
Added content-populated guiding cards and interactive elements (editable fields, pre-filled content) to create an engaging, step-by-step demo experience.
Data Analysis:
Analyzed A/B testing results and heatmap data from the previous timeline demo to understand user behaviors and drop-off points.
Identified areas for improvement, such as visibility and step completion rates.
Workshops:
Facilitated a Crazy Eights workshop with PMs, engineers, and stakeholders to generate ideas and align on the demo's user flow.
Prioritized simplicity and engagement to maximize impact.
Design and Development:
Built a streamlined version of Jira Software, focused on board and issue features.
Added content-populated guiding cards and interactive elements (editable fields, pre-filled content) to create an engaging, step-by-step demo experience.
Data Analysis:
Analyzed A/B testing results and heatmap data from the previous timeline demo to understand user behaviors and drop-off points.
Identified areas for improvement, such as visibility and step completion rates.
Workshops:
Facilitated a Crazy Eights workshop with PMs, engineers, and stakeholders to generate ideas and align on the demo's user flow.
Prioritized simplicity and engagement to maximize impact.
Design and Development:
Built a streamlined version of Jira Software, focused on board and issue features.
Added content-populated guiding cards and interactive elements (editable fields, pre-filled content) to create an engaging, step-by-step demo experience.
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