PasseiDireto 2019

A new search intelligence and experience on web and mobile app

TEAM | Laurence Alves (Product designer) and Mariana Nobre (UX Researcher)

MY ROLE | Discovery, product strategy, visual and interaction design, prototyping & testing, metrics and iteration 

Problem scope

We wanted to increase study material consumption (% engagement view).

However, users couldn't find the material they needed and existed within the platform.

Process

  • Research

    CSAT, In-depth interview with engaged users (Search patrons) and data analysis of use of the filters

  • Design Sprint

    Collaborative team immersion, benchmark analysis, sketching, prototyping and validading

  • Validading

    Usability tests with high fidelity prototype with Search patrons and iterations

  • Performance

    AB testing, performance analysis and post production iterations

goal

Guarantee a great search experience by delivering high quality results intuitively

👉 Make a smooth and easy to use experience

👉 Implement some level of personalization in search

👉 Focus on the search engine (recommendation logic) and its delivery

Deliverables

Phased out into smaller deliveries, rollout out, AB tested and CSAT survey to track performance

Autocomplete

👉
Best matches to input (using Elasticsearch)

👉 Smart filters: Suggestion of filters in accordance to input typed by user

Filters

👉 Dynamic and contextual to the input searched

Listing page

👉 Intelligence: Direct results to a single type of content (depending of the search input)

👉 Other types of content offered in sections mixed with the main result

Usability test phase

  • Analyse comprehension on the new search recommendation engine; findability; and overall experience (focus on mobile)

  • 17 users tested between mobile and web rounds. 3 users from Search Patrons.

  • RITE method. 5 rounds of test with iteration in between.

Micro interactions

Microinteractions are trigger-feedback pairs in which (1) the trigger can be a user action or an alteration in the system’s state; (2) the feedback is a narrowly targeted response to the trigger and is communicated through small, highly contextual (usually visual) changes in the user interface. – Nielsen Norman Group

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