TRAMONTINA
AWARD-WINNING PROJECT IN THE INNOVATION SECTOR
Tramontina's voice assistant aimed to use AI to help children with the task of choosing a gift for Father's Day integrated into Tramontina e-commerce
THE CHALLENGE
How we could develop a tool a practical, with a simple user flow and that could optimize the end-to-end user experience
Every year is a great challenge for children to get the right present, which is why Tramontina decided to lend a hand and create Tramontina's Father's Day Assistant. A Google voice assistant, integrated into Tramontina's e-commerce.
How we could develop a practical tool, with a simple flow and that could optimize the end-to-end user experience, from identifying the parent's profile, through choosing the product and ending in an uncomplicated checkout.
TIMELINE
Six sprints of one week each.
THE TEAM
We had a squad allocated for this project, which consisted of a cross- functional cross team.
GOAL
Develop a google voice assistant, integrated into Tramontina's e-commerce.
DISCOVERY
Optimize time in search of content already produced by Tramontina
Due to the tight schedule to develop all the stages, we did some internal research to understand how we could be guided by content already produced by tramontina, and thus gain “some time”, and collect inputs to develop a user´s flow first idea .
MOODBOARD TIPS MAKE TRAMONTINA BEAUTIFUL
On Tramontina blog, where was possible to find a series of tips "to make beautiful", then we came across a variety of content related to do it yourself, gastronomy, decoration, barbecue, among others.
IDEATION
During a brainstorm, the team had the insight to create the father's favorite spot at home
During a brainstorm, the team had the insight to create the father's favorite spot at home, linking this to a hobby or activity. We based ourselves on the content guidelines collected on the moodboard, tramontina's blog, to create the sections, and then start thinking about the user flow within the application.
HOUSE SPOT AS SEGMENTATION
DECISION TREE
After the dynamics, we gathered insights and were able to understand how to evolve to a more assertive interface prototype within the process
In conversational design, we aim to develop a humanized language, based on conversations and human experiences, our goal was to make more natural and fluid interactions.
In this type of design, the development of the decision tree is a fundamental part of the process, through it the stakeholders and the UX Writing team remained connected, developing together the entire conversational structure of the solution.
WIREFRAME DECISION TREE
UX Writing and co-creation
Co-creating the decision tree and collecting feedback quickly, thus optimizing the UX Writing process
INTERACTIVE TEXT FLOW BOARD
We chose to use figma jam, as previously mentioned. With this tool it was possible to keep the UX writing team and stakeholders in direct contact. We shared the figma board, so the client could make comments about the conversational flow, and adjustments were quickly made by the team, saving time and without the need for meetings related to this type of decision.
TESTS
After the process of building and approving the conversational flows, it's time to test whether the interactions are simple and natural.
After the of construction and approval phasesof the conversational flows, we started testing the text and intonation of words. We opted for the - Google cloud - text to speech.
These tests helped us understand how the pronunciation was in the voice of the Google assistant, and in this way, adjust words and terms. Using good conversational design practices we created more humanized interactions, which was the focus at this stage of the process.
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Testing the flows with users helped us fine-tune the final phase of the project.
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