Marcelo's Portfolio

UX Research

Venancio Drugstore

Pharmaceuticals Retail Growth 2017

Pharmaceutical Market in Brazil

– The sale of medicines in pharmacies has reached
US$ 15 billion in Brazil

– 162 billion doses marketed

– Pharmaceutical retail represents 69% of the market

Source: Interfarma.org.br

The Drogarias Venâncio chain has concentrated its business exclusively in Rio de Janeiro for 39 years.

Main products: beauty, health and well-being.

The business serves not only final consumers, but also hospitals, public and private medical clinics.

Seeking to reach a wider audience of consumers, the drugstore takes the first step towards the e-business and delivery system, until recently offered exclusively through telesales.

Former interface

Design Methodologies

In Depth Interview

Understanding of business needs and development of the briefing.

Analitycs

Overview of the state of e-commerce in quantitative and systematic data.

Card Sorting

Redesign of menu items according to users' mental model.

Heuristics Evaluation

Iterative identification of critical points in the e-commerce interface in order to urgently correct them.

Prototyping

Online store redesign focusing on user needs.

Usability Test

Application of the technique with users before launching the new store redesign.

Projetc duration

14

Weeks

96

Screens

Google Analitycs Analisys

Venancio’s e-commerce user profile overview

Gender and Age

27.9% male
72.1% female
28.5% 25-34 y/o
27.2% 35-44 y/o

Ecommerce Spendings

Average Ticket BRL$ 47 Convertion Tax 1.61%

Best Sales

1 - Medicines
2 - Beauty products
3 - Well-being

Devices

57% Mobile
41% Desktop
2% Tablet

Card Sorting

Application of the technique in order to reduce the number of categories proposed by the stakeholders and align them with the user’s mental model.
Sample: 3 women, 1 man | 23 to 28 years old – Closed Type Card Sorting

Before

After

Heuristics Evaluation

3 specialists evaluated the interactions of the old interface in order to prioritize the order of adjustments and redesign of functionalities.

Usability problems according to the 10 Heuristics.

Relationship between Heuristics and their severity in the system.

High Fidelity Prototype

Home page

Category page

Product page

Usability Test

According to Villanueva (2009), the ThinkAloud Protocol method consists of a researcher observing users performing specific tasks within a controlled environment.

Users’ actions and thoughts must be verbally described aloud in real time. The researcher records user actions through written notifications, video or voice recording.

Upon noticing some reluctance of users to verbalize actions and thoughts during the technique, the researcher raises questions related to users’ actions to maintain the flow of verbalization of their thoughts.

Sample = 3 users
Task: “buy a painkiller and pay by bank slip”

Results

Card Sorting helped understand users' product organization's point of view and clarified the midpoint between users' thinking and stakeholder strategies. Information architecture was a turning point in laying the foundation for the development of high-quality prototypes.

Heuristics 4 and 3, the lack of user control and freedom is generally considered frustrating, by users, rethinking the approach to the observed errors was considered urgent.

New recommendations emerged in the last testing phase (Think-aloud Protocol) for the refinement of the system: (1) review the breadth of the search tool's vocabulary and optimize the informational structure.

Make it easy for users to recognize the mini cart function, where customers can preview all selected items prior to purchase,

Limit to one call-to-action option on the product description page to minimize questions about purchase actions for users.

The shipping cost must be clear during the user journey.

The checkout follows a standard system flow and cannot be redesigned. The best guideline is to design it more closely related to the brand's visual guides.

Results

Bounce rate decrease 31%

Page per section increase 11%

Conversion rate increase 11%

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