top of page
banner-dash-meli.png

OPERATE AND DESIGN

The proposed solution ensured assertiveness in allocation, selection and technical development, thus promoting scalable operational support.

OUTCOME

At Mercado Livre, the challenge was to design a solution to map essential skills and assess the proficiency of more than 1,100 UX and Content Management professionals.

ONLY ONE'S OWN EXPERIENCE IS CAPABLE OF MAKING A HUMAN BEING WISE.
- FREUD -

KEY STAGES

A. Understanding:
Benchmark / Desk Research / Alignment / Roadmap.

B. Diagnosis:
Quantitative Research / Google Forms Structure / Documentation.

C. Actionable:
Analysis / Affinity Map / Exercises.

D. Communication:
Pre-mapping / During / Post-mapping.

SUPPORT DOCS

A. One Page:
Google Docs with the mental organization of the entire project and its stages.

B. Project Plan:
Google Sheets with roadmap, and also with all mapping data.

C. Project Forms:
Google Forms of the structure set up for collecting quantitative data.

D. Project Dashboard:
Looker Studio with demonstration of graphical visualization of results.

AUTOMATIC DATA

All spreadsheet tabs are linked via QUERYS. This way, with each response in the Forms, all fields are filled in.

meli-table-data.png

SKILLS

In addition to the dashboard in Looker, it is possible to consume skills data directly in Google Sheets. The proposal is to offer more ways of consuming and processing data.

CLASSIFICATIONS

Thinking about making things easier and with a visual resource from Google Sheets, we have from 0 to 5 stars, based on the responses to the Form.

FEEDBACKS

Taking advantage of the mapping initiative, why not provide an open space for feedback and also generate visibility of these points for the team?

meli-ai-prompt.png

POSSIBLE ACTIONS

As direct activities, the suggestion was to follow three main pillars: Internal Base, External Resources and Prompt Studies with ChatGPT.

INTERNAL BASE

Promote workshops, guilds, mentoring, and office hours on key topics such as Accessibility, Content, Visual, and Design System.

EXTERNAL RESOURCES

Seek proficiency through courses or external training, with supervision from leaders.

AI STUDIES

Use artificial intelligence to suggest new actionables based on the results obtained.

IMPACTS

The eNPS (Employee Net Promoter Score) is the main metric for this project, but others such as average time in the company and career development can also be considered.

meli-dash-looker.png

FUTURE: ITERATION

With this initial mapping, the possibility of monitoring the development of skills becomes more real, as does constant learning. Making this a recurring project, perhaps every six months.

FUTURE: MAPPING 2.0

Other mapping segments can be applied, such as INTERESTS and DIVERSITY. In addition, information about which leadership each person has enables targeted monitoring and action.

FUTURE: AI

Working with data, we gain a lot from the possibility of generating knowledge about and for the team. With this in mind, the next step is to generate prompt templates with basic information that help team members use AI tools.

bottom of page