Conversational Product Finder

Replacing filters with guided dialogue

The Problem

Website Says

"1400 RPM"
"8kg capacity"
"A+++ energy rating"
"Steam refresh function"

Customer Thinks

"Large family"
"Daily laundry"
"Want lower bills"
"What does that even mean?"

The Gap

Technical language vs lifestyle language

3-Stage Conversation

1

Context

→

2

Narrow

→

3

Recommend

Ask about real life, not technical specs

Stage 1: Context Questions

Assistant

How many people in your household?

1-2 people

3-4 people

5+ people

Not sure

You

4 people

Stage 1: Context Questions

Assistant

How often do you do laundry?

Once a week

2-3 times/week

Almost daily

Not sure

You

Almost daily

Stage 2: Priorities

Assistant

What matters most to you?

Speed (quick cycles)

Capacity (fewer loads)

Energy efficiency

Quiet operation

You

Capacity + Energy efficiency

Behind the Scenes

Translation Layer

4 people + daily use = 8kg+ capacity

Priority: capacity = Large drum size

Priority: efficiency = A++ rating or better

Stage 3: Recommendations

BEST MATCH

Model XL-9000

Why: 9kg capacity for your family size. A+++ energy rating saves £85/year. Quick wash for daily loads.

Model Eco-8500

Why: 8.5kg capacity. A++ rating. Slightly quieter if noise matters.

Key Feature

Clear rationale builds confidence

Before vs After

Traditional Filters

• 40+ filter options
• Technical language
• No guidance
• Customers overwhelmed
• High abandonment

Conversational Guide

• 5-7 simple questions
• Lifestyle language
• Clear recommendations
• Confidence building
• Higher engagement

User Feedback

"This feels like talking to a person who actually wants to help"

"Way less overwhelming than scrolling through 40 washing machines"

"I understand WHY these were recommended, not just thrown at me"

What This Achieved

Made complex decisions simple

Reduced choice paralysis through progressive disclosure

Built customer confidence

Explanation increased trust in recommendations

Created more human experience

Felt like helpful guidance, not corporate filtering