Designing an AI tool that reduced customer acquisition costs.

Designing an AI tool that reduced customer acquisition costs.

Designing an AI tool that reduced customer acquisition costs.

Designing an AI tool that reduced customer acquisition costs.

Designing an AI tool that reduced customer acquisition costs.

At Cradlewise, capturing high-intent emails is a critical step in our journey to eventually sell smart cribs. However, marketing costs were rising, and the Cost of Acquisition (CAC) was becoming a challenge.

Instead of increasing ad spend, I proposed a tool that would attract expecting parents organically, provide genuine value, and naturally collect emails during the process.

At Cradlewise, capturing high-intent emails is a critical step in our journey to eventually sell smart cribs. However, marketing costs were rising, and the Cost of Acquisition (CAC) was becoming a challenge.

Instead of increasing ad spend, I proposed a tool that would attract expecting parents organically, provide genuine value, and naturally collect emails during the process.

At Cradlewise, capturing high-intent emails is a critical step in our journey to eventually sell smart cribs. However, marketing costs were rising, and the Cost of Acquisition (CAC) was becoming a challenge.

Instead of increasing ad spend, I proposed a tool that would attract expecting parents organically, provide genuine value, and naturally collect emails during the process.

At Cradlewise, capturing high-intent emails is a critical step in our journey to eventually sell smart cribs. However, marketing costs were rising, and the Cost of Acquisition (CAC) was becoming a challenge.

Instead of increasing ad spend, I proposed a tool that would attract expecting parents organically, provide genuine value, and naturally collect emails during the process.

My role

My role

My role

Conceptualized the product strategy. Led the end-to-end design process.

Team

Team

Team

Srishti Mahajan (PM)

Unnikrishnan Manikoth (Design Manager)

Srishti Mahajan (PM)

Unnikrishnan Manikoth (Design Manager)

Srishti Mahajan (PM)

Unnikrishnan Manikoth (Design Manager)

Timeline

Timeline

Timeline

1 month

1 month

1 month

Outcome

Outcome

Outcome

Reduced Customer Acquisition Cost

Reduced Customer Acquisition Cost

Reduced Customer Acquisition Cost

The proposal

The proposal

The proposal

The proposal

The proposal

An AI-powered baby name generator that feels magical. The more you share, the better the names. The app combines:

An AI-powered baby name generator that feels magical. The more you share, the better the names. The app combines:

An AI-powered baby name generator that feels magical. The more you share, the better the names. The app combines:

A chat-based onboarding flow to gather user context

A Tinder-like swipe experience for names

Auto-generated cute baby images and name trivia

Auto-generated cute baby images and name trivia

A natural hook to collect emails for saving & sharing sessions

The experience is 100% web-based (PWA), with no download required, reducing friction from ad click to first interaction.

The experience is 100% web-based (PWA), with no download required, reducing friction from ad click to first interaction.

The experience is 100% web-based (PWA), with no download required, reducing friction from ad click to first interaction.

Challenges, challenges everywhere

Challenges, challenges everywhere

Challenges, challenges everywhere

Challenges, challenges everywhere

Challenges, challenges everywhere

01
Building deep user engagement, not just a gimmick tool

01
Building deep user engagement, not just a gimmick tool

01
Building deep user engagement, not just a gimmick tool

02
Capturing emails without making users feel "forced"

02
Capturing emails without making users feel "forced"

02
Capturing emails without making users feel "forced"

03
Balancing emotional, personal journeys with smart data capture

03
Balancing emotional, personal journeys with smart data capture

03
Balancing emotional, personal journeys with smart data capture

04
Differentiating from dozens of generic name generators already out there

04
Differentiating from dozens of generic name generators already out there

04
Differentiating from dozens of generic name generators already out there

Audience & Timing

Audience & Timing

Audience & Timing

Audience & Timing

Audience & Timing

  • Expecting parents, primarily in the second and third trimester (baby's gender usually known by month 4-5).

  • People beginning baby-related shopping and name discovery.

  • Expecting parents, primarily in the second and third trimester (baby's gender usually known by month 4-5).

  • People beginning baby-related shopping and name discovery.

  • Expecting parents, primarily in the second and third trimester (baby's gender usually known by month 4-5).

  • People beginning baby-related shopping and name discovery.

Why only a "baby name generator"?

Why only a "baby name generator"?

Why only a "baby name generator"?

Why only a "baby name generator"?

Why only a "baby name generator"?

Using SEO and Search data, we identified enormous organic traffic opportunities:

Using SEO and Search data, we identified enormous organic traffic opportunities:

Using SEO and Search data, we identified enormous organic traffic opportunities:

Step 1: Building an understanding of target audience and more

Step 1: Building an understanding of target audience and more

Step 1: Building an understanding of target audience and more

Step 1: Building an understanding of target audience and more

Step 1: Building an understanding of target audience and more

Every compelling product begins with empathy, and ours began with a deep dive into the needs, behaviors, and beliefs of our audience. Our aim was to craft a baby name experience that felt deeply personal, meaningful, and safe, while also aligning with legal considerations and business goals.

Every compelling product begins with empathy, and ours began with a deep dive into the needs, behaviors, and beliefs of our audience. Our aim was to craft a baby name experience that felt deeply personal, meaningful, and safe, while also aligning with legal considerations and business goals.

Every compelling product begins with empathy, and ours began with a deep dive into the needs, behaviors, and beliefs of our audience. Our aim was to craft a baby name experience that felt deeply personal, meaningful, and safe, while also aligning with legal considerations and business goals.

Insights I got…

Insights I got…

Insights I got…

We consolidated our qualitative observations into thematic insights:

1 - Emotional Anchors

  • Names are often tied to identity, hope, grief, and legacy.

  • Many parents experience “name remorse” after the baby is born.

2 - Decision Dynamics

  • Naming is rarely a solo act; partners, family, and even online forums influence the choice.

  • People often look for names that sound good with the sibling’s name or work globally.

3 - Preferences & Patterns

  • Gender, race, and region shape name choices.

  • The rise of nonbinary naming preferences and de-gendered lists is emerging.

  • People love trivia—origins, astrology, numerology, etc., enrich their experience.

We consolidated our qualitative observations into thematic insights:

1 - Emotional Anchors

  • Names are often tied to identity, hope, grief, and legacy.

  • Many parents experience “name remorse” after the baby is born.

2 - Decision Dynamics

  • Naming is rarely a solo act; partners, family, and even online forums influence the choice.

  • People often look for names that sound good with the sibling’s name or work globally.

3 - Preferences & Patterns

  • Gender, race, and region shape name choices.

  • The rise of nonbinary naming preferences and de-gendered lists is emerging.

  • People love trivia—origins, astrology, numerology, etc., enrich their experience.

We consolidated our qualitative observations into thematic insights:

1 - Emotional Anchors

  • Names are often tied to identity, hope, grief, and legacy.

  • Many parents experience “name remorse” after the baby is born.

2 - Decision Dynamics

  • Naming is rarely a solo act; partners, family, and even online forums influence the choice.

  • People often look for names that sound good with the sibling’s name or work globally.

3 - Preferences & Patterns

  • Gender, race, and region shape name choices.

  • The rise of nonbinary naming preferences and de-gendered lists is emerging.

  • People love trivia—origins, astrology, numerology, etc., enrich their experience.

Legal & ethical considerations

Legal & ethical considerations

Legal & ethical considerations

Before diving into design or AI generation, we identified key risks and boundaries:

  • Avoid names or prompts that offend cultural or religious sentiments

  • Comply with global naming laws, especially in countries with restrictions

  • Respect identity: allow for inclusive parent profiles (LGBTQ+, nonbinary names)

  • Ensure transparency if AI is used to recommend names

  • Consider data privacy and user rights for session saving or partner collaboration

Before diving into design or AI generation, we identified key risks and boundaries:

  • Avoid names or prompts that offend cultural or religious sentiments

  • Comply with global naming laws, especially in countries with restrictions

  • Respect identity: allow for inclusive parent profiles (LGBTQ+, nonbinary names)

  • Ensure transparency if AI is used to recommend names

  • Consider data privacy and user rights for session saving or partner collaboration

Before diving into design or AI generation, we identified key risks and boundaries:

  • Avoid names or prompts that offend cultural or religious sentiments

  • Comply with global naming laws, especially in countries with restrictions

  • Respect identity: allow for inclusive parent profiles (LGBTQ+, nonbinary names)

  • Ensure transparency if AI is used to recommend names

  • Consider data privacy and user rights for session saving or partner collaboration

Step 2: Understanding competitors

Step 2: Understanding competitors

Step 2: Understanding competitors

Step 2: Understanding competitors

Step 2: Understanding competitors

This step was not just about identifying what features others offered, but about deeply understanding what they missed, and where we could innovate.

We examined 10+ leading players including The Bump, BabyCenter, Pampers, Nameberry, Parents, and others, across both product functionality and emotional resonance.

This step was not just about identifying what features others offered, but about deeply understanding what they missed, and where we could innovate.

We examined 10+ leading players including The Bump, BabyCenter, Pampers, Nameberry, Parents, and others, across both product functionality and emotional resonance.

This step was not just about identifying what features others offered, but about deeply understanding what they missed, and where we could innovate.

We examined 10+ leading players including The Bump, BabyCenter, Pampers, Nameberry, Parents, and others, across both product functionality and emotional resonance.

Common Limitations Identified

Common Limitations Identified

Common Limitations Identified

Filter fatigue - All major apps rely heavily on static filter systems. Results are predictable and easily exhausted.

Filter fatigue - All major apps rely heavily on static filter systems. Results are predictable and easily exhausted.

Poor delight-to-data ratio - Lots of interaction (clicks), but very little emotional payoff.

Poor delight-to-data ratio - Lots of interaction (clicks), but very little emotional payoff.

Poor delight-to-data ratio - Lots of interaction (clicks), but very little emotional payoff.

Limited collaboration - Naming is a collaborative act, but few apps allow partner sharing, session saving, or real-time alignment.

Limited collaboration - Naming is a collaborative act, but few apps allow partner sharing, session saving, or real-time alignment.

Limited collaboration - Naming is a collaborative act, but few apps allow partner sharing, session saving, or real-time alignment.

No generative intelligence - No app used dynamic AI to learn from user behavior and adapt suggestions.

No generative intelligence - No app used dynamic AI to learn from user behavior and adapt suggestions.

No generative intelligence - No app used dynamic AI to learn from user behavior and adapt suggestions.

Step 3: AI, user personalization & email capture strategy

Step 3: AI, user personalization & email capture strategy

Step 3: AI, user personalization & email capture strategy

Step 3: AI, user personalization & email capture strategy

Step 3: AI, user personalization & email capture strategy

Once we understood our audience and competitors, it was time to define what would make our product intelligent and personal, not just another baby name filter tool.

We envisioned an AI system that doesn’t just generate names, but curates an experience based on emotional nuance and user context.

Once we understood our audience and competitors, it was time to define what would make our product intelligent and personal, not just another baby name filter tool.

We envisioned an AI system that doesn’t just generate names, but curates an experience based on emotional nuance and user context.

Once we understood our audience and competitors, it was time to define what would make our product intelligent and personal, not just another baby name filter tool.

We envisioned an AI system that doesn’t just generate names, but curates an experience based on emotional nuance and user context.

Input Parameters for AI

Input Parameters for AI

Input Parameters for AI

How will AI learn

How will AI learn

How will AI learn

Input Parameters for AI

User Behavioral Data - Learns from swipes, likes/dislikes, edits

Natural Language Processing (NLP) - Interprets open-ended keywords like “royal” or “space-inspired” to align names thematically

Recommendation Engine - Think Spotify or Netflix for baby names, the more you explore, the better the AI gets at serving spot-on suggestions

This approach made the product infinitely generative, versus competitors' finite filter systems.

User Behavioral Data - Learns from swipes, likes/dislikes, edits

Natural Language Processing (NLP) - Interprets open-ended keywords like “royal” or “space-inspired” to align names thematically

Recommendation Engine - Think Spotify or Netflix for baby names, the more you explore, the better the AI gets at serving spot-on suggestions

This approach made the product infinitely generative, versus competitors' finite filter systems.

User Behavioral Data - Learns from swipes, likes/dislikes, edits

Natural Language Processing (NLP) - Interprets open-ended keywords like “royal” or “space-inspired” to align names thematically

Recommendation Engine - Think Spotify or Netflix for baby names, the more you explore, the better the AI gets at serving spot-on suggestions

This approach made the product infinitely generative, versus competitors' finite filter systems.

Email Capture Strategy

Email Capture Strategy

Email Capture Strategy

No generative intelligence - No app used dynamic AI to learn from user behavior and adapt suggestions.

No generative intelligence - No app used dynamic AI to learn from user behavior and adapt suggestions.

No generative intelligence - No app used dynamic AI to learn from user behavior and adapt suggestions.

Designing flow

Designing flow

Designing flow

Designing flow

Designing flow

I began designing the flow with a visually appealing splash screen, a few onboarding questions, and subtle AI-driven nudges to improve name suggestions. The goal was to create an engaging, conversational experience. However, the flow didn’t perform as expected.

I began designing the flow with a visually appealing splash screen, a few onboarding questions, and subtle AI-driven nudges to improve name suggestions. The goal was to create an engaging, conversational experience. However, the flow didn’t perform as expected.

I began designing the flow with a visually appealing splash screen, a few onboarding questions, and subtle AI-driven nudges to improve name suggestions. The goal was to create an engaging, conversational experience. However, the flow didn’t perform as expected.

Issues

Issues

Issues

AI must feel alive - AI should talk like a companion — not just spit out results

Email = reward, not roadblock - Ask for email only after building value — e.g., after 5+ swipes

Skippable onboarding is essential - Always offer a fast path into the fun, then collect context gradually

Visuals matter - Cute emojis and a friendly tone created comfort, but could be deepened with animations or voice lines

AI must feel alive - AI should talk like a companion — not just spit out results

Email = reward, not roadblock - Ask for email only after building value — e.g., after 5+ swipes

Skippable onboarding is essential - Always offer a fast path into the fun, then collect context gradually

Visuals matter - Cute emojis and a friendly tone created comfort, but could be deepened with animations or voice lines

AI must feel alive - AI should talk like a companion — not just spit out results

Email = reward, not roadblock - Ask for email only after building value — e.g., after 5+ swipes

Skippable onboarding is essential - Always offer a fast path into the fun, then collect context gradually

Visuals matter - Cute emojis and a friendly tone created comfort, but could be deepened with animations or voice lines

Structured approach

Structured approach

Structured approach

Structured approach

Inputs for AI

After iterating on initial prototypes and learning what didn’t work, I restructured the app into four clearly defined user flows. Each was designed to guide the user deeper into engagement while gradually collecting inputs and nudging toward email capture.

After iterating on initial prototypes and learning what didn’t work, I restructured the app into four clearly defined user flows. Each was designed to guide the user deeper into engagement while gradually collecting inputs and nudging toward email capture.

After iterating on initial prototypes and learning what didn’t work, I restructured the app into four clearly defined user flows. Each was designed to guide the user deeper into engagement while gradually collecting inputs and nudging toward email capture.

Inputs for AI and bringing it to life

Inputs for AI and bringing it to life

Inputs for AI and bringing it to life

We used a conversational AI character, Coco, to gather essential info without overwhelming the user. I explored multiple mascot directions, from dragons to elephants, aiming for a character that felt joyful, approachable, and universally lovable.

After many trials, Coco the Frog stood out. Coco's big expressive eyes, cheerful smile, and vibrant green made the experience feel more personal and delightful, instantly creating a bond with the user.

We used a conversational AI character, Coco, to gather essential info without overwhelming the user. I explored multiple mascot directions, from dragons to elephants, aiming for a character that felt joyful, approachable, and universally lovable.

After many trials, Coco the Frog stood out. Coco's big expressive eyes, cheerful smile, and vibrant green made the experience feel more personal and delightful, instantly creating a bond with the user.

We used a conversational AI character, Coco, to gather essential info without overwhelming the user. I explored multiple mascot directions, from dragons to elephants, aiming for a character that felt joyful, approachable, and universally lovable.

After many trials, Coco the Frog stood out. Coco's big expressive eyes, cheerful smile, and vibrant green made the experience feel more personal and delightful, instantly creating a bond with the user.

Onboarding

Onboarding

Onboarding

During research, we found that parents' name preferences are deeply personal, shaped by factors like heritage, popularity, gender neutrality, sibling names, and regional ties.

Instead of overwhelming users with generic lists, we designed a guided onboarding that asked a few thoughtful questions, personalizing results, building trust early, and making the experience feel warm, relevant, and memorable.

During research, we found that parents' name preferences are deeply personal, shaped by factors like heritage, popularity, gender neutrality, sibling names, and regional ties.

Instead of overwhelming users with generic lists, we designed a guided onboarding that asked a few thoughtful questions, personalizing results, building trust early, and making the experience feel warm, relevant, and memorable.

During research, we found that parents' name preferences are deeply personal, shaped by factors like heritage, popularity, gender neutrality, sibling names, and regional ties.

Instead of overwhelming users with generic lists, we designed a guided onboarding that asked a few thoughtful questions, personalizing results, building trust early, and making the experience feel warm, relevant, and memorable.

As the user swiped through names, we introduced intelligent nudges — short, timely questions triggered by the AI to improve name recommendations without disrupting flow.

These weren’t random. We crafted them carefully by analyzing research on factors that influence baby name decisions:

  • Phonetics

  • Syllable length

  • Heritage

  • Sibling name harmony

  • Season of birth

  • Parental values

  • Emotional tone (meaning vs. sound).)

As the user swiped through names, we introduced intelligent nudges — short, timely questions triggered by the AI to improve name recommendations without disrupting flow.

These weren’t random. We crafted them carefully by analyzing research on factors that influence baby name decisions:

  • Phonetics

  • Syllable length

  • Heritage

  • Sibling name harmony

  • Season of birth

  • Parental values

  • Emotional tone (meaning vs. sound).)

As the user swiped through names, we introduced intelligent nudges — short, timely questions triggered by the AI to improve name recommendations without disrupting flow.

These weren’t random. We crafted them carefully by analyzing research on factors that influence baby name decisions:

  • Phonetics

  • Syllable length

  • Heritage

  • Sibling name harmony

  • Season of birth

  • Parental values

  • Emotional tone (meaning vs. sound).)

Names flow

Names flow

Smart Email Capture

Smart Email Capture

Smart Email Capture

Smart Email Capture

Smart Email Capture

Rather than gating the experience, I designed soft, contextual nudges:

  • Share personalized name reports post-email capture

  • Prompt users to save favorite names after they had engaged

  • Offer "Names of the Day" email subscriptions as a bonus feature

Rather than gating the experience, I designed soft, contextual nudges:

  • Share personalized name reports post-email capture

  • Prompt users to save favorite names after they had engaged

  • Offer "Names of the Day" email subscriptions as a bonus feature

Rather than gating the experience, I designed soft, contextual nudges:

  • Share personalized name reports post-email capture

  • Prompt users to save favorite names after they had engaged

  • Offer "Names of the Day" email subscriptions as a bonus feature

Thank you for reading!

Thank you for reading!

Thank you for reading!

Feel free to connect let's chat about design, product, community, or anything

© 2025 Vaibhav Shukla. All right reserved.

Feel free to connect let's chat about design, product, mentorship, community, or anything

© 2024 Vaibhav Shukla. All right reserved.

Feel free to connect let's chat about design, product, mentorship, community, or anything

© 2024 Vaibhav Shukla. All right reserved.