PULSIANAt Pulsian, I lead strategy and Design for a platform to discover AI resources and evaluate how to use them at work, based on each company’s goals and constraints.
Product screenshots show the interface in Portuguese.
01Product strategy and Design leadership
Professionals find AI news, tools and recommendations across many channels. Pulsian’s challenge is to help them identify options that could serve their work, taking their goals, available resources and decisions into account.
I lead the product from market research to interface implementation. I structured desk research on the market and competitors, audience profiles and work needs (Jobs to Be Done), the value proposition and business model scenarios. This work guides priorities, content and UX/UI decisions.
The priority audience is professionals and leaders evaluating AI for products, operations and company competitiveness. I combined two ways to use the product: discovering resources freely and comparing options for a specific need. Users can start with a news story or a work question.
I compared newsletters, content readers and AI assistants by value proposition, features and commercial model. Pulsian’s proposition combines resource discovery, organized knowledge and evaluation of options for each work situation.
I mapped situations where professionals need to stay informed, discover tools or evaluate AI applications. I considered their responsibility for decisions, as well as job title, to prioritize usage scenarios.
I modeled free and paid offers, revenue, processing costs, human review and margins. These simulations help define what to offer and how to expand the product, accounting for the cost of personalization and intensive usage.
I organized proposed features, their dependencies and assumptions to test into a product strategy and validation plan. The priority is to explain the product’s value, assess interest in specific applications and expand operations based on findings.
02Product organization
A news story can bring someone to the product, but not every need starts with a launch. An existing tool may solve a current problem. I therefore organized navigation to support both resource discovery and comparison of options.
I created three complementary areas: Timeline, Arsenal and Análises. Timeline brings together news; Arsenal organizes tools, models and resources; Análises supports evaluating alternatives for a work need. Users choose where to start, without following a mandatory sequence.
Follow AI news
News organized by date, with summaries, sources and possible applications.
Discover AI resources
Tools, models, APIs and capabilities organized by relevance to work, beyond their launch date.
Compare alternatives
AI application options compared against goals, criteria, costs, risks and constraints.
In Pulsian, “context” means the goals, available tools and constraints of users and their companies. This information helps assess which content and alternatives are relevant.
03Content and interaction
In Timeline, selecting a story opens a summary in the side panel. The “Ver briefing” button shows more detail and a possible application for the company. In the Nexo Digital example, the briefing suggests evaluating an AI agent to support competitor research.
I designed the flow to show a summary first, with details one click away. The briefing separates the original announcement, Pulsian’s interpretation and a suggested next step. Sources let users check the announcement. Users then assess whether the interpretation and suggestion apply to their company.
What was announced and which sources support the information.
How the development relates to the goals of the fictional company Nexo Digital, used in this demonstration scenario.
A suggested test or evaluation, with conditions to check.
04Revising an analysis
In Análises, users compare AI alternatives for a work need and can revise the recommendation when conditions change. I prepared a demonstration: a team needs to summarize customer service interactions. The first version suggests testing the same sample in Claude and ChatGPT.
Adding a requirement to prioritize the company’s existing Microsoft 365 tools changes the next step: check Copilot access, licenses and permissions. I designed the interface to show the new requirement, record the revised recommendation and keep the previous version accessible. Users can compare the guidance and understand why it changed.
Summarize customer service interactions and compare tools for the task.
Test the same sample in Claude and ChatGPT.
Summarize the interactions using the company’s existing Microsoft 365 setup.
Check Copilot access, licenses and permissions.
History lets users compare recommendations and check which conditions changed in each analysis.
05Interface design and implementation
I led UX/UI work from wireframes to implementation. The studies explored navigation, analysis presentation and access to previous versions. I refined the interface to highlight the recommendation, make its supporting criteria easier to find and distinguish selection, revision and history.
I documented colors, typography, spacing and reusable components. I also worked on content, contrast and adaptation to different screens. I use AI for implementation while retaining direct responsibility for Design decisions, code review and the quality of the delivered interaction.
Highlight the recommendation and provide access to the criteria behind it.
Keep revision and access to earlier versions alongside the analysis.
Reuse color, typography, spacing and component patterns.
06Deliverables and next steps
Pulsian has a documented strategy and an interactive interface that demonstrates the product proposition. Decisions about the market, audience, business model and priorities guide navigation, flows and screens.
The next step is to test the experience with users in real work situations. The plan is to check whether they understand the flows, find recommendations useful and are interested in analysis features. The conditions needed to operate the product will also be assessed.
Market and competitor desk research, audience profiles and work needs, value proposition, economic scenarios, product strategy and validation plan. Published product website and interactive cockpit, with documented wireframes and interface patterns.
Test flows with users, identify when analyses help with work decisions and assess interest in the proposed features. Use the findings to guide personalization and content operations.
Development stage: the cockpit presents example scenarios and content. Real-time AI personalization and continuous intelligence operations are development areas; demand and economic viability will be assessed through user testing.