Pushwoosh

Pushwoosh is a B2B marketing automation platform used by product and marketing teams to create multi-channel communication flows (push, email, in-app, WhatsApp).

The product includes complex workflows, segmentation logic, automation rules, and data-heavy dashboards making first-time user experience critical for activation and retention.

Pushwoosh is a B2B marketing automation platform used by product and marketing teams to create multi-channel communication flows (push, email, in-app, WhatsApp).

The product includes complex workflows, segmentation logic, automation rules, and data-heavy dashboards making first-time user experience critical for activation and retention.

Core Product Screens

Selected screens of the core product interface, including workflow builder, segmentation logic, and analytics dashboards.

Selected screens of the core product interface, including workflow builder, segmentation logic, and analytics dashboards.

Domain

Marketing Automation

Type

B2B, SaaS

Role

Senior Product Designer

Scope

Web platform (admin panel, onboarding, automation flows)

Team

 PM, engineers, CS, Marketing managers

Case Study

This case study focuses on improving the onboarding experience for a complex B2B product, where first-time user understanding was critical for activation and retention.

This case study focuses on improving the onboarding experience for a complex B2B product, where first-time user understanding was critical for activation and retention.

Problem

Despite a powerful feature set, new users struggled to reach value quickly.

Despite a powerful feature set, new users struggled to reach value quickly.


Key issues identified:

  • Overloaded onboarding with unclear next steps

  • High cognitive load in automation and campaign setup

  • Fragmented information architecture across core flows

  • Users relying on support instead of self-serve setup


This resulted in:

  • Low early activation

  • High first-step drop-offs

  • Increased support load during onboarding

Key issues identified:

  • Overloaded onboarding with unclear next steps

  • High cognitive load in automation and campaign setup

  • Fragmented information architecture across core flows

  • Users relying on support instead of self-serve setup


This resulted in:

  • Low early activation

  • High first-step drop-offs

  • Increased support load during onboarding

Goals

Product & UX goals:

  • Increase user activation and onboarding completion

  • Reduce time-to-first-value for new users

  • Improve clarity of core workflows without reducing flexibility

  • Lower onboarding-related support requests



Design success metrics:

  • Activation rate

  • Onboarding completion

  • Time-to-value

  • Support tickets related to onboarding

Product & UX goals:

  • Increase user activation and onboarding completion

  • Reduce time-to-first-value for new users

  • Improve clarity of core workflows without reducing flexibility

  • Lower onboarding-related support requests


Design success metrics:

  • Activation rate

  • Onboarding completion

  • Time-to-value

  • Support tickets related to onboarding

Solution (High-level)

I redesigned key onboarding and activation flows with a focus on progressive disclosure, clear system feedback, and guided decision-making.


Key design directions:

  • Simplified entry points into automation and messaging

  • Clear step-by-step onboarding with visible progress

  • Reduced visual and cognitive noise in early flows

  • Consistent patterns across similar workflows

I redesigned key onboarding and activation flows with a focus on progressive disclosure, clear system feedback, and guided decision-making.


Key design directions:

  • Simplified entry points into automation and messaging

  • Clear step-by-step onboarding with visible progress

  • Reduced visual and cognitive noise in early flows

  • Consistent patterns across similar workflows

Key Design Contributions

Onboarding Flow Redesign

  • Reworked first-time user flow to focus on one primary action

  • Introduced clearer hierarchy and guidance

  • Reduced optional decisions at early stages

Onboarding Flow Redesign

  • Reworked first-time user flow to focus on one primary action

  • Introduced clearer hierarchy and guidance

  • Reduced optional decisions at early stages

Case Study

This case study focuses on improving the onboarding experience for a complex B2B product, where first-time user understanding was critical for activation and retention.

Problem

Despite a powerful feature set, new users struggled to reach value quickly.

Key issues identified:

  • Overloaded onboarding with unclear next steps

  • High cognitive load in automation and campaign setup

  • Fragmented information architecture across core flows

  • Users relying on support instead of self-serve setup


This resulted in:

  • Low early activation

  • High first-step drop-offs

  • Increased support load during onboarding

Key Design Contributions

Goals

Product & UX goals:

  • Increase user activation and onboarding completion

  • Reduce time-to-first-value for new users

  • Improve clarity of core workflows without reducing flexibility

  • Lower onboarding-related support requests


Design success metrics:

  • Activation rate

  • Onboarding completion

  • Time-to-value

  • Support tickets related to onboarding

Solution (High-level)

I redesigned key onboarding and activation flows with a focus on progressive disclosure, clear system feedback, and guided decision-making.


Key design directions:

  • Simplified entry points into automation and messaging

  • Clear step-by-step onboarding with visible progress

  • Reduced visual and cognitive noise in early flows

  • Consistent patterns across similar workflows

Solution (High-level)

I redesigned key onboarding and activation flows with a focus on progressive disclosure, clear system feedback, and guided decision-making.


Key design directions:

  • Simplified entry points into automation and messaging

  • Clear step-by-step onboarding with visible progress

  • Reduced visual and cognitive noise in early flows

  • Consistent patterns across similar workflows

Metrics-Driven Iteration

  • Worked closely with PM and analysts to define UX success metrics

  • Validated design changes using product analytics and user feedback

  • Iterated based on real usage data, not assumptions


  • Worked closely with PM and analysts to define UX success metrics

  • Validated design changes using product analytics and user feedback

  • Iterated based on real usage data, not assumptions


Process

Discovery & Analysis

  • Reviewed onboarding analytics and funnel drop-offs

  • Analyzed support tickets and user feedback

  • Identified friction points in early user journeys


Design & Validation

  • Low-fidelity wireframes for flow restructuring

  • High-fidelity prototypes for usability testing

  • Iterative refinement with PM and engineering


Delivery

  • Worked end-to-end: discovery → design → validation → handoff

  • Maintained design consistency through the design system

  • Supported implementation and post-launch analysis


Discovery & Analysis

  • Reviewed onboarding analytics and funnel drop-offs

  • Analyzed support tickets and user feedback

  • Identified friction points in early user journeys


Design & Validation

  • Low-fidelity wireframes for flow restructuring

  • High-fidelity prototypes for usability testing

  • Iterative refinement with PM and engineering


Delivery

  • Worked end-to-end: discovery → design → validation → handoff

  • Maintained design consistency through the design system

  • Supported implementation and post-launch analysis


Results

  • Worked closely with PM and analysts to define UX success metrics

  • Validated design changes using product analytics and user feedback

  • Iterated based on real usage data, not assumptions


  • Worked closely with PM and analysts to define UX success metrics

  • Validated design changes using product analytics and user feedback

  • Iterated based on real usage data, not assumptions


+28%

Activation rate

+21%

Onboarding completion

-45%

Time-to-Value

-22%

First-step drop-offs


  • Reduced onboarding-related support tickets

  • Clearer, more predictable user flows for complex automation tasks

+28%

Activation rate

Activation rate

+21%

Onboarding Completion

Onboarding completion

-45%

Time-to-Value

+24%

First-step

rop-offs

-45%

Time-to-Value

-22%

First-step drop-offs


  • Reduced onboarding-related support tickets

  • Clearer, more predictable user flows for complex automation tasks

  • Reduced onboarding-related support tickets

  • Clearer, more predictable user flows for complex automation tasks

Learnings

  • In complex B2B tools, less choice early = more activation

  • Clear system feedback is as important as visual simplicity

  • Activation is a UX responsibility, not just a product metric

  • Metrics-driven design decisions build trust with stakeholders

  • In complex B2B tools, less choice early = more activation

  • Clear system feedback is as important as visual simplicity

  • Activation is a UX responsibility, not just a product metric

  • Metrics-driven design decisions build trust with stakeholders

My role

  • Owned UX and UI decisions across onboarding and activation flows

  • Defined success metrics together with product and analytics

  • Led design from problem framing to validation and delivery

  • Collaborated cross-functionally with PM, engineers, QA

  • Owned UX and UI decisions across onboarding and activation flows

  • Defined success metrics together with product and analytics

  • Led design from problem framing to validation and delivery

  • Collaborated cross-functionally with PM, engineers, QA

Process

Discovery & Analysis

  • Reviewed onboarding analytics and funnel drop-offs

  • Analyzed support tickets and user feedback

  • Identified friction points in early user journeys


Design & Validation

  • Low-fidelity wireframes for flow restructuring

  • High-fidelity prototypes for usability testing

  • Iterative refinement with PM and engineering


Delivery

  • Worked end-to-end: discovery → design → validation → handoff

  • Maintained design consistency through the design system

  • Supported implementation and post-launch analysis