Skip to main content

// archive · older work

ecommerce UX Research Product Design Chatbot 2021

Daily Bot
Chatbot MVP

MVP chatbot designed to improve cosmetics purchase decisions in online stores, accelerating conversion through an intelligent chat assistant that mimics in-store expert guidance. Research-led, prototype-tested.

Client: PROSCAI (SaaS) Role: UX Researcher + Designer Niche: Organic Cosmetics

Problem: Online cosmetics shoppers lack the knowledgeable human guide they'd find in a physical store. This creates decision paralysis, abandoned carts, and low conversion. The Daily Bot replaces that expert with a conversational AI that qualifies needs, recommends products, and converts interest into purchase.

Research to MVP in 6 Stages

01

Benchmark

Competitive analysis of chatbot implementations in cosmetics ecommerce

02

Proto-Persona

Defined target user profile: women shopping organic cosmetics online

03

Hypotheses

Research hypotheses around decision triggers and conversation patterns

04

Interviews

4 qualitative user interviews to validate assumptions and uncover mental models

05

Solution

Conversation flow design: question trees, recommendation logic, CTA placement

06

3 Iterations

Progressive prototype refinement based on user testing feedback

Daily Bot research and competitive analysis
Proto-persona and user interviews Conversation flow design
Bot prototype iteration Final bot interface

Chat replaces the human guide at the store. The bot must pattern-match conversational cues to deliver the right recommendation at the right emotional moment. Hesitation signals an unanswered question, not a lost sale.

The MVP was built using Landbot.io and demonstrated a complete conversational flow from product discovery to purchase intent. The research validated the core hypothesis: guided chat meaningfully reduces the decision gap in organic cosmetics ecommerce.


Try the Live Bot Demo →