INDUSTRY:

AI & CUSTOMER SUPPORTS

CLIENT:

PERSONAL PROJECT

FOCUS

Activation UX, onboarding clarity, conversion flow optimization

Navigation clarity, onboarding, and

scalable design systems

An Ai-powered customer support chatbot

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the Opening.

This project focused on improving the customer support experience for retail users through a chatbot interface.

The goal was to reduce friction, shorten resolution time, and help users solve common issues quickly without unnecessary steps.

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the Problem.

Customer support experiences were slow, confusing, and often frustrating.

Key issues:

  • Users were forced to log in before getting help

  • Important tasks (tracking orders, returns) were buried under menus

  • Chatbots felt robotic and unhelpful

  • Too much text and not enough guidance

  • No smooth transition to human support

As a result, users either abandoned the chat or escalated their frustration elsewhere.

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what i found

From a UX audit perspective, a few patterns stood out:

  • Users wanted quick solutions, not long conversations

  • Friction came from unnecessary steps (login, forms, navigation)

  • The interface asked users to figure things out instead of guiding them

  • Chatbots focused on responses, not resolution

The core issue wasn’t intelligence, it was effort.

Users were being asked to do too much before getting help.

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what i changed

The redesign focused on reducing effort and guiding users to resolution faster:

1. Removed unnecessary upfront friction

  • No forced login or onboarding

  • Information requested only when needed (progressive profiling)

2. Designed chat as the primary interface

  • Kept users inside a single flow instead of redirecting

  • Used cards and structured prompts instead of long text

3. Prioritized quick actions over typing

  • Added clear entry points (Track order, Return item, Report issue)

  • Reduced decision fatigue and time-to-action

4. Improved tone and communication

  • Replaced robotic responses with clear, human language

  • Focused on guidance and next steps, not explanations

5. Enabled smooth human escalation

  • Allowed users to switch to a human agent without losing context

  • Reduced repetition and frustration

Each decision aimed to help users resolve issues with less effort and more clarity.

outcome

The redesigned chatbot experience made customer support faster, clearer, and easier to use.

Results (projected):

  • Reduced friction across support flows

  • Faster issue resolution for common tasks

  • Lower user frustration

  • Improved overall support experience

The redesigned chatbot experience made customer support faster, clearer, and easier to use.

Results (projected):

  • Reduced friction across support flows

  • Faster issue resolution for common tasks

  • Lower user frustration

  • Improved overall support experience

key impact
  • Reduced effort required to get help

  • Improved clarity in support interactions

  • Faster navigation to solutions

  • More human-centered support experience

  • Reduced effort required to get help

  • Improved clarity in support interactions

  • Faster navigation to solutions

  • More human-centered support experience

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