Interactive Demo
Interactive Demo
This case study explores a Jira Software Product Tour experiment aimed at increasing user signups through an interactive board and issue demo. By combining product demo with marketing, the project provided a hands-on experience to showcase Jira’s value and boost user confidence in its features.
Product
Jira Software
What I did
Product Design
My role
design lead
Time line
6 weeks
Impact
Impact
Goal: A 5% uplift in signup rates within 7 days.
Outcome: After 14 days, metrics remained flat. Though we fell short of the target, the project delivered key insights for future experiments.
Goal: A 5% uplift in signup rates within 7 days.
Outcome: After 14 days, metrics remained flat. Though we fell short of the target, the project delivered key insights for future experiments.
Impact
Goal: A 5% uplift in signup rates within 7 days.
Outcome: After 14 days, metrics remained flat. Though we fell short of the target, the project delivered key insights for future experiments.
Context
Context
Building on a previous win—where an interactive timeline demo boosted signups by 10%—the team hypothesized that highlighting Jira’s board and issue features could drive similar gains.
Goal: Increase signup rates by 5% by integrating an interactive demo into the Jira Software Product Tour, offering new users a clear demonstration of Jira’s core value and fostering their confidence in its capabilities.
Building on a previous win—where an interactive timeline demo boosted signups by 10%—the team hypothesized that highlighting Jira’s board and issue features could drive similar gains.
Goal: Increase signup rates by 5% by integrating an interactive demo into the Jira Software Product Tour, offering new users a clear demonstration of Jira’s core value and fostering their confidence in its capabilities.
Context
Building on a previous win—where an interactive timeline demo boosted signups by 10%—the team hypothesized that highlighting Jira’s board and issue features could drive similar gains.
Goal: Increase signup rates by 5% by integrating an interactive demo into the Jira Software Product Tour, offering new users a clear demonstration of Jira’s core value and fostering their confidence in its capabilities.
What we learned
What we learned
The post-experiment analysis uncovered audience mismatches and visibility gaps, prompting critical questions for future iterations—namely, how to narrow the target audience and ensure better exposure.
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.
The post-experiment analysis uncovered audience mismatches and visibility gaps, prompting critical questions for future iterations—namely, how to narrow the target audience and ensure better exposure.
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.
What we learned
The post-experiment analysis uncovered audience mismatches and visibility gaps, prompting critical questions for future iterations—namely, how to narrow the target audience and ensure better exposure.
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.
Process
Process
This overview spans initial research through final execution and illustrates how I crafted an engaging interactive demo. The process prioritized user needs and delivered tangible results by leveraging data-driven insights and collaborative workshops.
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.
This overview spans initial research through final execution and illustrates how I crafted an engaging interactive demo. The process prioritized user needs and delivered tangible results by leveraging data-driven insights and collaborative workshops.
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.
Process
This overview spans initial research through final execution and illustrates how I crafted an engaging interactive demo. The process prioritized user needs and delivered tangible results by leveraging data-driven insights and collaborative workshops.
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.
Final Design
The final interactive demo allowed users to explore Jira Software’s board and issue features in a hands-on, guided format, seamlessly merging product functionality with marketing for an authentic experience.
Challenges:
Despite strong engagement, the demo did not reach the 5% signup goal.
Key obstacles included targeting a broad audience and the demo’s low-visibility placement.
Final Design
The final interactive demo allowed users to explore Jira Software’s board and issue features in a hands-on, guided format, seamlessly merging product functionality with marketing for an authentic experience.
Challenges:
Despite strong engagement, the demo did not reach the 5% signup goal.
Key obstacles included targeting a broad audience and the demo’s low-visibility placement.
Final Design
The final interactive demo allowed users to explore Jira Software’s board and issue features in a hands-on, guided format, seamlessly merging product functionality with marketing for an authentic experience.
Challenges:
Despite strong engagement, the demo did not reach the 5% signup goal.
Key obstacles included targeting a broad audience and the demo’s low-visibility placement.
Final Design
The final interactive demo allowed users to explore Jira Software’s board and issue features in a hands-on, guided format, seamlessly merging product functionality with marketing for an authentic experience.
Challenges:
Despite strong engagement, the demo did not reach the 5% signup goal.
Key obstacles included targeting a broad audience and the demo’s low-visibility placement.
Reflection
Lessons Learned
Target Audience:
Challenge: The experiment targeted all users visiting the product tour, but 30% were already logged in and not in the target demographic.
Lesson: Narrow the target audience to new users (N2N) for future experiments.
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.
Reflection
Lessons Learned
Target Audience:
Challenge: The experiment targeted all users visiting the product tour, but 30% were already logged in and not in the target demographic.
Lesson: Narrow the target audience to new users (N2N) for future experiments.
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.
Reflection
Lessons Learned
Target Audience:
Challenge: The experiment targeted all users visiting the product tour, but 30% were already logged in and not in the target demographic.
Lesson: Narrow the target audience to new users (N2N) for future experiments.
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.
Reflection
Lessons Learned
Target Audience:
Challenge: The experiment targeted all users visiting the product tour, but 30% were already logged in and not in the target demographic.
Lesson: Narrow the target audience to new users (N2N) for future experiments.
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.
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