Prachi Agarwal

Publicity Hub

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Publicity Hub

A GenAI marketing platform, which uses LLM & AI/ML to make marketing easy for enterprises & individual creators.

AI Marketing Platform

MY ROLE: Founding Product Designer

OUTCOME: From 94% abandonment --> 200+ active SMBs

Research

Problem

Space

User

Personas

Solutions

Continuous Iterations

Designing AI Is Designing Behavior

Result That Matter

What I Learnt

What's Next

Background

Based on the insight from our research, we defined the scope of the project into 3 major problems.

Meet The Users

Strategic Discovery: Creators = 10x bigger market → now driving current roadmap.

Design Principle established

Sarah

Marketing Manager

Goal: Save time without losing brand voice

Flexibility

User-controlled tone, keywords, approvals

Trust

Transparent, safe AI decisions

Simplicity

Quick wins, no jargon, progressive learning

Mike

SMB Owner

Goal: Build trustworthy content without expertise

Creators

(New Market)

Goal: Personal branding > company marketing

Insights: Users don’t want automation — they want Control + Speed

Key Behaviors Shaped The Feature

Bulk post generation (e.g., “8 posts for Valentine’s Sale”)
Schedule around events & launches
Mobile-friendly planning
Month / week / day strategic overview

Key Behaviors Shaped The Feature

UI inputs → AI parameter mapping
Response structure and tone behavior
Guardrails for unpredictable output

Now designing a new product version for creators, a far larger market, focusing on:

Thought leadership content
Personal voice modeling
Cross-platform publishing

AI UX = trust management more than automation
UX decisions must control AI behavior, not just UI surfaces
Transparency beats perfection
Systems thinking is required for non-deterministic outcomes

Iteration

Email delivery controls

Brand voice presets

Email content generator

Product Success

From failing beta → 200+ paying SMBs
Built repeatable AI behaviors + design system

Outcome

70% reduction in engineering ambiguity & AI errors.

Impact

67% drop in unsubscribes

78% → 89% approval

34% more content created

Business Success

Retention doubled
Trust improved 2.1 → 4.3 / 5
VC confidence restored

Features I Designed

No value upfront

Users asked to commit without seeing results

No value upfront

Users asked to commit without seeing results

Don't ask for trust, earn it first.

Problem

Users quit in under a minute
Signup required long forms before seeing value
AI felt generic, unsafe, and off-brand
The product didn’t match how marketers work (campaigns > individual posts)

12 guerrilla interviews (SMB owners, marketers, PR)
Competitive audit (Jasper, Copy.ai, Buffer)
Weekly stakeholder alignment workshops

Mission

✅ Fix UX

✅ Restore Trust

✅ Save Product

Core Impact

Designed trust-first AI UX that transformed user behavior, retention, and business viability.

Quick Wins and Impact

Activation (First Post Created)

23% →73%

Signup Abandonment

94% → 27%

Content Approval

34% → 89%

NPS

23 → 64

The Crisis I Was Hired To Fix

Research That Grounded Every Decision

Iteration was guided by in-product feedback loops + LinkedIn research.

Individual creators changed our roadmap.

70% of “UX design” was actually prompt and response engineering.

"Your signup flow and navigation are completely broken. You're losing users and trust."

— VC Feedback after pitch

Solution : Progressive Onboarding

Solution: AI-Trust Building Features

Users don’t want perfect AI — they want controllable AI.

Solution: Campaign Calendar

Users plan campaigns, not random posts.

Generic AI content

Off-brand, robotic tone felt risky

Generic AI content

Off-brand, robotic tone felt risky

Wrong Mental Model

Users Needed campaign planning, not random posts

Wrong mental model

Users needed campaign planning, not random posts

Let’s

Vibe

Key Design Choices

Only 2 field entry → "See content now"
Live preview of brand-matched AI output
Signup only after success is experienced
Guided brand setup in small steps

Results

Adoption in First Week

81%

Session length (reactive → strategic)

127%

Tone controls w/ preview

Control + predictability

Required brand keywords

Consistent voice

Edit-before-publish

No accidental posting

Results

Approval

34% → 89%

Macbook Pro

Publicity Hub

Favorites

Drafts

Contents

Calendar

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Pub

Hub

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Twitter

Pub

Hub

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Blog

Pub

Hub

Twitter

Pub

Hub

Publicity Hub can make mistakes. Check important info.

Enter your prompt here

Twitter

Blog

Publicity Hub is here to spark your creativity, but could on occasion lose its way. Please always edit before posting.

Macbook Pro

Product

Art

Prachi

Agarwal

Product

Art

Prachi

Agarwal

Publicity Hub

Revolutionize Your Social Media Presence

Generate content

Enter your company website

Enter your email

Publicity Hub

A GenAI marketing platform, which uses LLM & AI/ML to make marketing easy for enterprises & individual creators.

AI Marketing Platform

MY ROLE: Founding Product Designer

OUTCOME: From 94% abandonment --> 200+ active SMBs

Research

Problem

Space

User

Personas

Solutions

Continuous Iterations

Designing AI Is Designing Behavior

Result That Matter

What I Learnt

What's Next

Background

Based on the insight from our research, we defined the scope of the project into 3 major problems.

Meet The Users

Strategic Discovery: Creators = 10x bigger market → now driving current roadmap.

Design Principle established

Sarah

Marketing Manager

Goal: Save time without losing brand voice

Flexibility

User-controlled tone, keywords, approvals

Trust

Transparent, safe AI decisions

Simplicity

Quick wins, no jargon, progressive learning

Mike

SMB Owner

Goal: Build trustworthy content without expertise

Creators

(New Market)

Goal: Personal branding > company marketing

Insights: Users don’t want automation — they want Control + Speed

Key Behaviors Shaped The Feature

Bulk post generation (e.g., “8 posts for Valentine’s Sale”)
Schedule around events & launches
Mobile-friendly planning
Month / week / day strategic overview

Key Behaviors Shaped The Feature

UI inputs → AI parameter mapping
Response structure and tone behavior
Guardrails for unpredictable output

Now designing a new product version for creators, a far larger market, focusing on:

Thought leadership content
Personal voice modeling
Cross-platform publishing

AI UX = trust management more than automation
UX decisions must control AI behavior, not just UI surfaces
Transparency beats perfection
Systems thinking is required for non-deterministic outcomes

Iteration

Email delivery controls

Brand voice presets

Email content generator

Product Success

From failing beta → 200+ paying SMBs
Built repeatable AI behaviors + design system

Outcome

70% reduction in engineering ambiguity & AI errors.

Impact

67% drop in unsubscribes

78% → 89% approval

34% more content created

Business Success

Retention doubled
Trust improved 2.1 → 4.3 / 5
VC confidence restored

Features I Designed

No value upfront

Users asked to commit without seeing results

No value upfront

Users asked to commit without seeing results

Don't ask for trust, earn it first.

Problem

Users quit in under a minute
Signup required long forms before seeing value
AI felt generic, unsafe, and off-brand
The product didn’t match how marketers work (campaigns > individual posts)

12 guerrilla interviews (SMB owners, marketers, PR)
Competitive audit (Jasper, Copy.ai, Buffer)
Weekly stakeholder alignment workshops

Mission

✅ Fix UX

✅ Restore Trust

✅ Save Product

Core Impact

Designed trust-first AI UX that transformed user behavior, retention, and business viability.

Quick Wins and Impact

Activation (First Post Created)

23% →73%

Signup Abandonment

94% → 27%

Content Approval

34% → 89%

NPS

23 → 64

The Crisis I Was Hired To Fix

Research That Grounded Every Decision

Iteration was guided by in-product feedback loops + LinkedIn research.

Individual creators changed our roadmap.

70% of “UX design” was actually prompt and response engineering.

"Your signup flow and navigation are completely broken. You're losing users and trust."

— VC Feedback after pitch

Solution : Progressive Onboarding

Solution: AI-Trust Building Features

Users don’t want perfect AI — they want controllable AI.

Solution: Campaign Calendar

Users plan campaigns, not random posts.

Generic AI content

Off-brand, robotic tone felt risky

Generic AI content

Off-brand, robotic tone felt risky

Wrong Mental Model

Users Needed campaign planning, not random posts

Wrong mental model

Users needed campaign planning, not random posts

Let’s

Vibe

Key Design Choices

Only 2 field entry → "See content now"
Live preview of brand-matched AI output
Signup only after success is experienced
Guided brand setup in small steps

Results

Adoption in First Week

81%

Session length (reactive → strategic)

127%

Tone controls w/ preview

Control + predictability

Required brand keywords

Consistent voice

Edit-before-publish

No accidental posting

Results

Approval

34% → 89%

Macbook Pro

Publicity Hub

Favorites

Drafts

Contents

Calendar

Pub

Hub

Twitter

Pub

Hub

Blog

Pub

Hub

Twitter

Pub

Hub

Publicity Hub can make mistakes. Check important info.

Enter your prompt here

Twitter

Blog

Publicity Hub is here to spark your creativity, but could on occasion lose its way. Please always edit before posting.

Macbook Pro

Product

Art

Prachi

Agarwal