Revamping an AI Companion for Personalized Pregnancy Support
ROLE
Product Designer
DURATION
2 Weeks
TEAM
1 Product Manager
1 Product Designer
2 Engineers
Transforming a generic chatbot into a personalized companion with tailored conversation topics to support emotional and practical needs throughout pregnancy
Context
Momitalk is a pregnancy support app offering tools, content, and community for expectant mothers. To deepen engagement and add personalized support, the team introduced an AI Chat feature, a conversational assistant designed to deliver timely, helpful interactions during pregnancy.
Problem
While initial curiosity brought users to the feature, engagement dropped sharply after the first interaction. Users found the chatbot repetitive and impersonal, with little clarity around its purpose. This limited its ability to support users emotionally or drive meaningful retention.
Solution
I led the redesign of AI Chat, repositioning it from a generic chatbot to a personalized, stage-aware companion. This included redefining its role, content strategy, and conversation structure, anchoring the AI around pregnancy-stage needs, emotional intelligence, and discoverable conversation topics.
Impact
This repositioned Momitalk AI as a scalable, high-impact feature central to the app’s user retention strategy.
- 31.5% increase in chat visits
- 120% growth in completed interactions
- 57.8% boost in deeper engagement
Discover
Why Curiosity Didn’t Turn into Conversations
Despite high traffic to the AI feature, most users dropped off without meaningful interaction. The funnel analysis revealed a significant engagement gap: users were curious enough to enter the AI tab, but something stopped them from continuing. The Initial problems we framed were:
- Unclear purpose: Users were unsure why to engage or what topics they could explore.
- Repetitive responses: Conversations felt generic and robotic.
- Limited functionality: No compelling reason to return.
- Lack of integration: The AI was isolated from other app features.
To design an AI experience that truly supports pregnant users, I needed to understand their emotional and practical needs at different stages of pregnancy.
Mapping User Needs by Pregnancy Stage
To better understand the needs of pregnant moms, I analyzed user conversations from the Momitalk Korea community and mapped emotional journey patterns across each stage of pregnancy. This revealed a wide range of practical, emotional, and social needs that varied by trimester:
- Early Pregnancy: High anxiety and intense information-seeking. Users frequently asked about diet, safe exercises, and early symptoms.
- Second Trimester: Emotional bonding and planning took center stage. Users showed curiosity about baby development, gender reveals, and baby shower ideas.
- Late Pregnancy: Reassurance and empathy became critical. Users expressed heightened emotional sensitivity, sleep issues, and fear around labor.
Define
Reframing AI as a Stage-Aware Companion
I translated the key user needs into three topic expansion opportunities. This reframing positioned AI not just as a chatbot, but as a thoughtful daily companion.
Timely
Deliver pregnancy-stage-specific prompts and support
Supportive
Provide empathetic responses to reassure and comfort
Engaging
Introduce fun & practical content balancing seriousness & joy
Ideate
Designing Topics that Balance Support and Delight
To create an AI experience that balances practicality and enjoyment, my team and I held a brainstorming session to explore new conversation topics. We used affinity mapping to categorize our ideas into two main themes: Fun & Entertainment and Health & Pregnancy Management. To ensure our approach is scalable and adaptable, we prioritized ideas that balanced user impact with technical feasibility.
- Fun & Entertainment: Engaging conversations that make the pregnancy journey enjoyable.
- Health & Pregnancy Management: Topics that provide timely, relevant support.
Testing Topics for Value, Tone, and Relevance
To consolidate our ideas, my team and I conducted prompt testing with ChatGPT, evaluating the quality of responses, cultural fit, and relevance. We identified six high-value topics that delivered meaningful interactions with consistent, quality responses.
Evaluation Criteria
- Answer Quality: Consistent, accurate, engaging.
- Localization: Culturally appropriate for all regions.
- User Value: Relevant to pregnant moms.
Top Prioritized Topics
- Pregnancy Assistant: Answers pregnancy questions.
- Pregnancy Therapist: Supports emotional and mental well-being.
- Baby Names: Suggest meaningful names.
- Daily Horoscope: Astrology insights for moms and babies.
- Story Time: Engaging stories for the baby.
- Party Planner: Plans baby showers and gender reveals.
Defining Design Principles for Discoverability, Relevance, and Scale
To guide a cohesive user experience and guide an interface design, I defined three key design principles that were aligned with user needs and business goals.
Discoverability
Make topics easy to explore to drive user engagement.
Relevance
Personalized support for each pregnancy stage
Scalability
Design flexible solutions that support growth and integration.
Prototype
Improving Topic Visibility for Instant Engagement
The first design exploration focused on enhancing discoverability by making AI topics instantly accessible from the home screen. Removing onboarding steps allowed users to engage faster, while contextually relevant keywords encouraged deeper interactions. Below is the main feedback from my team, along with the design decisions made in response.
Feedback Highlights
- Home Screen Interactivity: Users wanted instant access to topics but required scalability for future topic expansions.
- Onboarding Flow: Removing onboarding improved navigation but left unused space.
- Keyword Suggestions: Users found keywords useful but we faced challenges in maintaining keyword quality and relevance.
Design Decisions
- Introduce a carousel to showcase topics dynamically while maintaining flexibility for future topic additions.
- Reallocate screen space to highlight topics, making interactions more intuitive.
- Manually curate gestational-age-specific keywords to ensure quality and relevance for better user experience.
Structuring Topics by Purpose and Pregnancy Stage
Informed by the first design feedback session, the second approach emphasized structured topic organization and intuitive exploration, ensuring users could quickly find relevant conversations. By providing diverse topics based on pregnancy stage, I aimed to reduce cognitive load and make AI interactions more engaging. Here are the key feedback and the design decisions made in response.
Feedback Highlights
- Topic Variety: Users wanted a overview of topics at a glance.
- Individualized Topics: Users preferred distinct topic personas like “Pregnancy Assistant” and “Therapist.”
- Feature Navigation: Navigating between topic selection and chat was confusing, requiring a smoother transition.
Design Decisions
- Add a scrollable topic preview on the home screen.
- Provide topics with clear, purpose-driven personas, improving clarity and ease of navigation.
- Separate conversations from topic exploration, allowing users to navigate seamlessly between topic selection and chat.
Deliver
Delivering a More Discoverable, Personalized, and Scalable AI Experience
After testing multiple design directions, I combined the most impactful ideas into a unified solution that enhances both usability and long-term engagement. The final design makes Momitalk AI more approachable, meaningful, and integrated across the app experience.
Key improvements include:
- Accessible entry points through a dynamic carousel and keyword previews.
- Clearer purpose and structure with distinct topic personas and simplified navigation.
- Personalized content tailored to each pregnancy stage.
- Seamless integration with Weekly Info to surface relevant AI topics naturally.
Together, these updates position Momitalk AI as a trusted companion that is easy to access, relevant at every stage, and built to grow alongside users’ needs.
Boosting Discoverability with a Home Screen Carousel
To increase visibility and reduce entry friction, I replaced the static banner with a dynamic carousel that showcases key topics upfront. This improvement enhances discoverability by:
- Enabling instant, one-tap access to conversations.
- Encouraging exploration without deep navigation.
- Supporting future topic expansion without clutter.
By foregrounding relevant content, this update transformed AI Talk into a feature that users notice and use more often.
Clarifying Conversations with Topic Personas and Stage-Specific Keywords
To address confusion and cognitive overload, I restructured the AI interface around clear,
goal-oriented topic personas (e.g., “Pregnancy Assistant,” “Pregnancy Therapist”). Combined with gestational-age-specific keywords, this approach improves clarity and interaction by:
- Helping users understand the role of each topic at a glance.
- Sparking curiosity through timely, relevant suggestions.
- Replacing lengthy onboarding with lightweight, intuitive cues.
This redesign not only improved usability but also strengthened users' emotional connection.
Reinforcing AI Identity with Visual and Contextual Cues
To reinforce brand presence and create a cohesive experience, I introduced visual cues
that reflect the AI's identity across touchpoints. Enhancements included:
- Incorporating recognizable topic icons into Daily Check-In popovers.
- Displaying chat topic identities to ground users in context when interacting.
These updates positioned Momitalk AI as a consistent, recognizable companion with clarity while maintaining flexibility for future topic persona expansions.
Embedding AI into Weekly Info for a Seamless Journey
To increase engagement and reduce feature isolation, I integrated trending keywords into the Weekly Info tab. This cross-functional solution boosts discoverability and retention by:
- Surfacing relevant AI topics in sync with the user's pregnancy stage.
- Encouraging exploration without requiring manual search.
- Creating a seamless flow between educational content and conversation.
By embedding AI within the broader content ecosystem, this update positioned Momitalk AI as a natural, continuous part of the user journey.
Measure
More Visits, Longer Chats, Deeper Engagement
The redesigned Momitalk AI launched, delivering measurable success in alignment with Momitalk’s business goals of boosting retention, driving deeper engagement, and enhancing the app’s overall value. By making features more accessible, intuitive, and engaging, the redesign reinforced Momitalk AI’s role as a valuable and scalable feature.
32%
Increase in AI Chat Screen Visit
after the introduction of the new Momitalk AI features
120%
Growth in Interaction Completion
(Users completing at least one message interaction in the chat)
58%
Increase in Deeper Engagement
(The conversion rate for users sending two or more messages)
Reflect
Lessons Learned and Opportunities
The latest updates to Momitalk AI demonstrated clear improvements in user engagement and interaction depth. However, as we prioritized strengthening Momitalk AI's identity and scalability, some trade-offs emerged. Moving forward, the focus will be on adding more culturally relevant topics, refining the AI’s personalization capabilities, and ensuring the feature remains scalable as user needs evolve. Here are the highlighted lessons learned and an opportunity.
What Worked
Scalable Design and Engagement Success
Implementing a scalable topic carousel and reusable UI components ensured long-term adaptability as the feature evolves. Additionally, diverse topics and keyword suggestions contributed to higher interaction rates and deeper conversations.
Areas to Improve
Decline in Visits without Daily Notification Badge
Removing the daily check-in notification badge on the navigation bar led to a slight decline in overall visits. This emphasizes the need to better promote Momitalk AI’s value and capture user attention daily.
Next Opportunity
Enhancing Personalization with Health Data
Integrating Momitalk AI with user data from health tracking tools will offer an opportunity to deliver more personalized and cohesive user experiences, enhancing cross-feature functionality.
Revamping an AI Companion for Personalized Pregnancy Support
ROLE
Product Designer
DURATION
2 Weeks
TEAM
1 Product Manager
1 Product Designer
2 Engineers
Transforming a generic chatbot into a personalized companion with tailored conversation topics to support emotional and practical needs throughout pregnancy
Context
Momitalk is a pregnancy support app offering tools, content, and community for expectant mothers. To deepen engagement and add personalized support, the team introduced an AI Chat feature, a conversational assistant designed to deliver timely, helpful interactions during pregnancy.
Problem
While initial curiosity brought users to the feature, engagement dropped sharply after the first interaction. Users found the chatbot repetitive and impersonal, with little clarity around its purpose. This limited its ability to support users emotionally or drive meaningful retention.
Solution
I led the redesign of AI Chat, repositioning it from a generic chatbot to a personalized, stage-aware companion. This included redefining its role, content strategy, and conversation structure, anchoring the AI around pregnancy-stage needs, emotional intelligence, and discoverable conversation topics.
Impact
This repositioned Momitalk AI as a scalable, high-impact feature central to the app’s user retention strategy.
- 31.5% increase in chat visits
- 120% growth in completed interactions
- 57.8% boost in deeper engagement
Discover
Why Curiosity Didn’t Turn into Conversations
Despite high traffic to the AI feature, most users dropped off without meaningful interaction. The funnel analysis revealed a significant engagement gap: users were curious enough to enter the AI tab, but something stopped them from continuing. The Initial problems we framed were:
- Unclear purpose: Users were unsure why to engage or what topics they could explore.
- Repetitive responses: Conversations felt generic and robotic.
- Limited functionality: No compelling reason to return.
- Lack of integration: The AI was isolated from other app features.
To design an AI experience that truly supports pregnant users, I needed to understand their emotional and practical needs at different stages of pregnancy.
Mapping User Needs by Pregnancy Stage
To better understand the needs of pregnant moms, I analyzed user conversations from the Momitalk Korea community and mapped emotional journey patterns across each stage of pregnancy. This revealed a wide range of practical, emotional, and social needs that varied by trimester:
- Early Pregnancy: High anxiety and intense information-seeking. Users frequently asked about diet, safe exercises, and early symptoms.
- Second Trimester: Emotional bonding and planning took center stage. Users showed curiosity about baby development, gender reveals, and baby shower ideas.
- Late Pregnancy: Reassurance and empathy became critical. Users expressed heightened emotional sensitivity, sleep issues, and fear around labor.
Define
Reframing AI as a Stage-Aware Companion
I translated the key user needs into three topic expansion opportunities. This reframing positioned AI not just as a chatbot, but as a thoughtful daily companion.
Timely
Deliver pregnancy-stage-specific prompts and support
Supportive
Provide empathetic responses to reassure and comfort
Engaging
Introduce fun & practical content balancing seriousness & joy
Ideate
Designing Topics that Balance Support and Delight
To create an AI experience that balances practicality and enjoyment, my team and I held a brainstorming session to explore new conversation topics. We used affinity mapping to categorize our ideas into two main themes: Fun & Entertainment and Health & Pregnancy Management. To ensure our approach is scalable and adaptable, we prioritized ideas that balanced user impact with technical feasibility.
- Fun & Entertainment: Engaging conversations that make the pregnancy journey enjoyable.
- Health & Pregnancy Management: Topics that provide timely, relevant support.
Testing Topics for Value, Tone, and Relevance
To consolidate our ideas, my team and I conducted prompt testing with ChatGPT, evaluating the quality of responses, cultural fit, and relevance. We identified six high-value topics that delivered meaningful interactions with consistent, quality responses.
Evaluation Criteria
- Answer Quality: Consistent, accurate, engaging.
- Localization: Culturally appropriate for all regions.
- User Value: Relevant to pregnant moms.
Top Prioritized Topics
- Pregnancy Assistant: Answers pregnancy questions.
- Pregnancy Therapist: Supports emotional and mental well-being.
- Baby Names: Suggest meaningful names.
- Daily Horoscope: Astrology insights for moms and babies.
- Story Time: Engaging stories for the baby.
- Party Planner: Plans baby showers and gender reveals.
Defining Design Principles for Discoverability, Relevance, and Scale
To guide a cohesive user experience and guide an interface design, I defined three key design principles that were aligned with user needs and business goals.
Discoverability
Make topics easy to explore to drive user engagement.
Relevance
Personalized support for each pregnancy stage
Scalability
Design flexible solutions that support growth and integration.
Prototype
Improving Topic Visibility for Instant Engagement
The first design exploration focused on enhancing discoverability by making AI topics instantly accessible from the home screen. Removing onboarding steps allowed users to engage faster, while contextually relevant keywords encouraged deeper interactions. Below is the main feedback from my team, along with the design decisions made in response.
Feedback Highlights
- Home Screen Interactivity: Users wanted instant access to topics but required scalability for future topic expansions.
- Onboarding Flow: Removing onboarding improved navigation but left unused space.
- Keyword Suggestions: Users found keywords useful but we faced challenges in maintaining keyword quality and relevance.
Design Decisions
- Introduce a carousel to showcase topics dynamically while maintaining flexibility for future topic additions.
- Reallocate screen space to highlight topics, making interactions more intuitive.
- Manually curate gestational-age-specific keywords to ensure quality and relevance for better user experience.
Structuring Topics by Purpose and Pregnancy Stage
Informed by the first design feedback session, the second approach emphasized structured topic organization and intuitive exploration, ensuring users could quickly find relevant conversations. By providing diverse topics based on pregnancy stage, I aimed to reduce cognitive load and make AI interactions more engaging. Here are the key feedback and the design decisions made in response.
Feedback Highlights
- Topic Variety: Users wanted a overview of topics at a glance.
- Individualized Topics: Users preferred distinct topic personas like “Pregnancy Assistant” and “Therapist.”
- Feature Navigation: Navigating between topic selection and chat was confusing, requiring a smoother transition.
Design Decisions
- Add a scrollable topic preview on the home screen.
- Provide topics with clear, purpose-driven personas, improving clarity and ease of navigation.
- Separate conversations from topic exploration, allowing users to navigate seamlessly between topic selection and chat.
Deliver
Delivering a More Discoverable, Personalized, and Scalable AI Experience
After testing multiple design directions, I combined the most impactful ideas into a unified solution that enhances both usability and long-term engagement. The final design makes Momitalk AI more approachable, meaningful, and integrated across the app experience.
Key improvements include:
- Accessible entry points through a dynamic carousel and keyword previews.
- Clearer purpose and structure with distinct topic personas and simplified navigation.
- Personalized content tailored to each pregnancy stage.
- Seamless integration with Weekly Info to surface relevant AI topics naturally.
Together, these updates position Momitalk AI as a trusted companion that is easy to access, relevant at every stage, and built to grow alongside users’ needs.
Boosting Discoverability with a Home Screen Carousel
To increase visibility and reduce entry friction, I replaced the static banner with a dynamic carousel that showcases key topics upfront. This improvement enhances discoverability by:
- Enabling instant, one-tap access to conversations.
- Encouraging exploration without deep navigation.
- Supporting future topic expansion without clutter.
By foregrounding relevant content, this update transformed AI Talk into a feature that users notice and use more often.
Clarifying Conversations with Topic Personas and Stage-Specific Keywords
To address confusion and cognitive overload, I restructured the AI interface around clear,
goal-oriented topic personas (e.g., “Pregnancy Assistant,” “Pregnancy Therapist”). Combined with gestational-age-specific keywords, this approach improves clarity and interaction by:
- Helping users understand the role of each topic at a glance.
- Sparking curiosity through timely, relevant suggestions.
- Replacing lengthy onboarding with lightweight, intuitive cues.
This redesign not only improved usability but also strengthened users' emotional connection.
Reinforcing AI Identity with Visual and Contextual Cues
To reinforce brand presence and create a cohesive experience, I introduced visual cues
that reflect the AI's identity across touchpoints. Enhancements included:
- Incorporating recognizable topic icons into Daily Check-In popovers.
- Displaying chat topic identities to ground users in context when interacting.
These updates positioned Momitalk AI as a consistent, recognizable companion with clarity while maintaining flexibility for future topic persona expansions.
Embedding AI into Weekly Info for a Seamless Journey
To increase engagement and reduce feature isolation, I integrated trending keywords into the Weekly Info tab. This cross-functional solution boosts discoverability and retention by:
- Surfacing relevant AI topics in sync with the user's pregnancy stage.
- Encouraging exploration without requiring manual search.
- Creating a seamless flow between educational content and conversation.
By embedding AI within the broader content ecosystem, this update positioned Momitalk AI as a natural, continuous part of the user journey.
Measure
More Visits, Longer Chats, Deeper Engagement
The redesigned Momitalk AI launched, delivering measurable success in alignment with Momitalk’s business goals of boosting retention, driving deeper engagement, and enhancing the app’s overall value. By making features more accessible, intuitive, and engaging, the redesign reinforced Momitalk AI’s role as a valuable and scalable feature.
32%
Increase in AI Chat Screen Visit
after the introduction of the new Momitalk AI features
120%
Growth in Interaction Completion
(Users completing at least one message interaction in the chat)
58%
Increase in Deeper Engagement
(The conversion rate for users sending two or more messages)
Reflect
Lessons Learned and Opportunities
The latest updates to Momitalk AI demonstrated clear improvements in user engagement and interaction depth. However, as we prioritized strengthening Momitalk AI's identity and scalability, some trade-offs emerged. Moving forward, the focus will be on adding more culturally relevant topics, refining the AI’s personalization capabilities, and ensuring the feature remains scalable as user needs evolve. Here are the highlighted lessons learned and an opportunity.
What Worked
Scalable Design and Engagement Success
Implementing a scalable topic carousel and reusable UI components ensured long-term adaptability as the feature evolves. Additionally, diverse topics and keyword suggestions contributed to higher interaction rates and deeper conversations.
Areas to Improve
Decline in Visits without Daily Notification Badge
Removing the daily check-in notification badge on the navigation bar led to a slight decline in overall visits. This emphasizes the need to better promote Momitalk AI’s value and capture user attention daily.
Next Opportunity
Enhancing Personalization with Health Data
Integrating Momitalk AI with user data from health tracking tools will offer an opportunity to deliver more personalized and cohesive user experiences, enhancing cross-feature functionality.
Revamping an AI Companion for Personalized Pregnancy Support
ROLE
Product Designer
DURATION
2 Weeks
TEAM
1 Product Manager
1 Product Designer
2 Engineers
Transforming a generic chatbot into a personalized companion with tailored conversation topics to support emotional and practical needs throughout pregnancy
Context
Momitalk is a pregnancy support app offering tools, content, and community for expectant mothers. To deepen engagement and add personalized support, the team introduced an AI Chat feature, a conversational assistant designed to deliver timely, helpful interactions during pregnancy.
Problem
While initial curiosity brought users to the feature, engagement dropped sharply after the first interaction. Users found the chatbot repetitive and impersonal, with little clarity around its purpose. This limited its ability to support users emotionally or drive meaningful retention.
Solution
I led the redesign of AI Chat, repositioning it from a generic chatbot to a personalized, stage-aware companion. This included redefining its role, content strategy, and conversation structure, anchoring the AI around pregnancy-stage needs, emotional intelligence, and discoverable conversation topics.
Impact
This repositioned Momitalk AI as a scalable, high-impact feature central to the app’s user retention strategy.
- 31.5% increase in chat visits
- 120% growth in completed interactions
- 57.8% boost in deeper engagement
Discover
Why Curiosity Didn’t Turn into Conversations
Despite high traffic to the AI feature, most users dropped off without meaningful interaction. The funnel analysis revealed a significant engagement gap: users were curious enough to enter the AI tab, but something stopped them from continuing. The Initial problems we framed were:
- Unclear purpose: Users were unsure why to engage or what topics they could explore.
- Repetitive responses: Conversations felt generic and robotic.
- Limited functionality: No compelling reason to return.
- Lack of integration: The AI was isolated from other app features.
To design an AI experience that truly supports pregnant users, I needed to understand their emotional and practical needs at different stages of pregnancy.
Mapping User Needs by Pregnancy Stage
To better understand the needs of pregnant moms, I analyzed user conversations from the Momitalk Korea community and mapped emotional journey patterns across each stage of pregnancy. This revealed a wide range of practical, emotional, and social needs that varied by trimester:
- First Trimester: High anxiety and intense information-seeking. Users frequently asked about diet, safe exercises, and early symptoms.
- Second Trimester: Emotional bonding and planning took center stage. Users showed curiosity about baby development, gender reveals, and baby shower ideas.
- Third Trimester: Reassurance and empathy became critical. Users expressed heightened emotional sensitivity, sleep issues, and fear around labor.
Define
Reframing AI as a Stage-Aware Companion
I translated the key user needs into three topic expansion opportunities. This reframing positioned AI not just as a chatbot, but as a thoughtful daily companion.
Timely
Deliver pregnancy-stage-specific prompts and support
Supportive
Provide empathetic responses to reassure and comfort
Engaging
Introduce fun & practical content balancing seriousness & joy
Ideate
Designing Topics that Balance Support and Delight
To create an AI experience that balances practicality and enjoyment, my team and I held a brainstorming session to explore new conversation topics. We used affinity mapping to categorize our ideas into two main themes: Fun & Entertainment and Health & Pregnancy Management. To ensure our approach is scalable and adaptable, we prioritized ideas that balanced user impact with technical feasibility.
- Fun & Entertainment: Engaging conversations that make the pregnancy journey enjoyable.
- Health & Pregnancy Management: Topics that provide timely, relevant support.
Testing Topics for Value, Tone, and Relevance
To consolidate our ideas, my team and I conducted prompt testing with ChatGPT, evaluating the quality of responses, cultural fit, and relevance. We identified six high-value topics that delivered meaningful interactions with consistent, quality responses.
Evaluation Criteria
- Answer Quality: Consistent, accurate, engaging.
- Localization: Culturally appropriate for all regions.
- User Value: Relevant to pregnant moms.
Top Prioritized Topics
- Pregnancy Assistant: Answers pregnancy questions.
- Pregnancy Therapist: Supports emotional and mental well-being.
- Baby Names: Suggest meaningful names.
- Daily Horoscope: Astrology insights for moms and babies.
- Story Time: Engaging stories for the baby.
- Party Planner: Plans baby showers and gender reveals.
Defining Design Principles for Discoverability, Relevance, and Scale
To guide a cohesive user experience and guide an interface design, I defined three key design principles that were aligned with user needs and business goals.
Discoverability
Make topics easy to explore to drive user engagement.
Relevance
Deliver engaging content that resonates with users.
Scalability
Design flexible solutions that support growth and integration.
Prototype
Improving Topic Visibility for Instant Engagement
The first design exploration focused on enhancing discoverability by making AI topics instantly accessible from the home screen. Removing onboarding steps allowed users to engage faster, while contextually relevant keywords encouraged deeper interactions. Below is the main feedback from my team, along with the design decisions made in response.
Feedback Highlights
- Home Screen Interactivity: Users wanted instant access to topics but required scalability for future topic expansions.
- Onboarding Flow: Removing onboarding improved navigation but left unused space.
- Keyword Suggestions: Users found keywords useful but we faced challenges in maintaining keyword quality and relevance.
Design Decisions
- Introduce a carousel to showcase topics dynamically while maintaining flexibility for future topic additions.
- Reallocate screen space to highlight topics, making interactions more intuitive.
- Manually curate gestational-age-specific keywords to ensure quality and relevance for better user experience.
Structuring Topics by Purpose and Pregnancy Stage
Informed by the first design feedback session, the second approach emphasized structured topic organization and intuitive exploration, ensuring users could quickly find relevant conversations. By providing diverse topics based on pregnancy stage, I aimed to reduce cognitive load and make AI interactions more engaging. Here are the key feedback and the design decisions made in response.
Feedback Highlights
- Topic Variety: Users wanted a overview of topics at a glance.
- Individualized Topics: Users preferred distinct topic personas like “Pregnancy Assistant” and “Therapist.”
- Feature Navigation: Navigating between topic selection and chat was confusing, requiring a smoother transition.
Design Decisions
- Add a scrollable topic preview on the home screen.
- Provide topics with clear, purpose-driven personas, improving clarity and ease of navigation.
- Separate conversations from topic exploration, allowing users to navigate seamlessly between topic selection and chat.
Deliver
Delivering a More Discoverable, Personalized, and Scalable AI Experience
After testing multiple design directions, I combined the most impactful ideas into a unified solution that enhances both usability and long-term engagement. The final design makes Momitalk AI more approachable, meaningful, and integrated across the app experience.
Key improvements include:
- Accessible entry points through a dynamic carousel and keyword previews.
- Clearer purpose and structure with distinct topic personas and simplified navigation.
- Personalized content tailored to each pregnancy stage.
- Seamless integration with Weekly Info to surface relevant AI topics naturally.
Together, these updates position Momitalk AI as a trusted companion that is easy to access, relevant at every stage, and built to grow alongside users’ needs.
Boosting Discoverability with a Home Screen Carousel
To increase visibility and reduce entry friction, I replaced the static banner with a dynamic carousel that showcases key topics upfront. This improvement enhances discoverability by:
- Enabling instant, one-tap access to conversations.
- Encouraging exploration without deep navigation.
- Supporting future topic expansion without clutter.
By foregrounding relevant content, this update transformed AI Talk into a feature that users notice and use more often.
Clarifying Conversations with Topic Personas and Stage-Specific Keywords
To address confusion and cognitive overload, I restructured the AI interface around clear,
goal-oriented topic personas (e.g., “Pregnancy Assistant,” “Pregnancy Therapist”). Combined with gestational-age-specific keywords, this approach improves clarity and interaction by:
- Helping users understand the role of each topic at a glance.
- Sparking curiosity through timely, relevant suggestions.
- Replacing lengthy onboarding with lightweight, intuitive cues.
This redesign not only improved usability but also strengthened users' emotional connection.
Reinforcing AI Identity with Visual and Contextual Cues
To reinforce brand presence and create a cohesive experience, I introduced visual cues
that reflect the AI's identity across touchpoints. Enhancements included:
- Incorporating recognizable topic icons into Daily Check-In popovers.
- Displaying chat topic identities to ground users in context when interacting.
These updates positioned Momitalk AI as a consistent, recognizable companion with clarity while maintaining flexibility for future topic persona expansions.
Embedding AI into Weekly Info for a Seamless Journey
To increase engagement and reduce feature isolation, I integrated trending keywords into the Weekly Info tab. This cross-functional solution boosts discoverability and retention by:
- Surfacing relevant AI topics in sync with the user's pregnancy stage.
- Encouraging exploration without requiring manual search.
- Creating a seamless flow between educational content and conversation.
By embedding AI within the broader content ecosystem, this update positioned Momitalk AI as a natural, continuous part of the user journey.
Measure
More Visits, Longer Chats, Deeper Engagement
The redesigned Momitalk AI launched, delivering measurable success in alignment with Momitalk’s business goals of boosting retention, driving deeper engagement, and enhancing the app’s overall value. By making features more accessible, intuitive, and engaging, the redesign reinforced Momitalk AI’s role as a valuable and scalable feature.
32%
Increase in AI Chat Screen Visit
after the introduction of the new Momitalk AI features
120%
Growth in Interaction Completion
(Users completing at least one message interaction in the chat)
58%
Increase in Deeper Engagement
(The conversion rate for users sending two or more messages)
Reflect
Lessons Learned and Opportunities
The latest updates to Momitalk AI demonstrated clear improvements in user engagement and interaction depth. However, as we prioritized strengthening Momitalk AI's identity and scalability, some trade-offs emerged. Moving forward, the focus will be on adding more culturally relevant topics, refining the AI’s personalization capabilities, and ensuring the feature remains scalable as user needs evolve. Here are the highlighted lessons learned and an opportunity.
What Worked
Scalable Design and Engagement Success
Implementing a scalable topic carousel and reusable UI components ensured long-term adaptability as the feature evolves. Additionally, diverse topics and keyword suggestions contributed to higher interaction rates and deeper conversations.
Areas to Improve
Decline in Visits without Daily Notification Badge
Removing the daily check-in notification badge on the navigation bar led to a slight decline in overall visits. This emphasizes the need to better promote Momitalk AI’s value and capture user attention daily.
Next Opportunity
Enhancing Personalization with Health Data
Integrating Momitalk AI with user data from health tracking tools will offer an opportunity to deliver more personalized and cohesive user experiences, enhancing cross-feature functionality.