Role
Role
Researcher & Senior Product Design (Full Remote)
Date
Jan 2023 - Nov 2024
Industry
Insight Sales - B2B
Team
Worked in a triad team in collaboration with a PM and Lead Engineer as my Product Team. In the design team, did collaboration for design alignment and consistency in design system patterns.
Responsibilities
Pioneered the product design strategy for Notifications, Integrations, and Artificial Intelligence initiatives at Databook, crafting intuitive interfaces that addressed intricate challenges, seamlessly integrating with leading platforms, and leveraging AI capabilities to elevate user experiences.
Challenges
Main Problem: The AE wanted visibility into when the client’s events would influence their strategy, so they could adjust their approach or seize new opportunities accordingly.
Technical Integration: Ensuring seamless integration of the notifications system with Databook's existing infrastructure and Slack's API.
Data-Driven Decision Making: Gathered qualitative user feedback and analytics to refine the notifications system and optimize its effectiveness.
Impact
Improved User Engagement by 20% the first Q after release: Provided users with timely and relevant notifications, enabling them to stay informed and take advantage of new opportunities.
Enhanced Productivity by integrating Databook insights in tools AE currently use. 24% of clients adoption in new integrated features: Streamlined communication and collaboration through Slack integration, boosting user productivity. Databook increased investments and scaled initiatives towards integrations.
MVP1 delivered on time!
MVP1 delivered on time!
MVP1 delivered on time!
Goal
Experience flow Email > Notifications > Event Detail Panel with the goal to provide actionable insights when an event impacts their strategy.
Contributions
Delivered MVP1 initiatives aligned with the roadmap to provide immediate value, while concurrently developing features that scale the product in MVPX (Vision).
Worked on AI concept to help users talk with data
Worked on AI concept to help users talk with data
Worked on AI concept to help users talk with data
AI Concept
Following the surge of AI in 2023, I proactively explored the potential of UX in AI and sought ways to help users harness AI for valuable data insights.
Reviewed designs with stakeholders
Reviewed designs with stakeholders
Reviewed designs with stakeholders
UI Designs and UX Hand-off
Documenting UI details—including anatomies, logics, rules, states, interactions, and behaviors in a clear and accessible format is essential for engineers. This documentation can serve as a valuable reference, reducing errors and eliminating guesswork.
24% adoption from integrated features within their current tools. This led to invest more integrations effort and scale current initiatives.
24% adoption from integrated features within their current tools. This led to invest more integrations effort and scale current initiatives.
24% adoption from integrated features within their current tools. This led to invest more integrations effort and scale current initiatives.
Slack Bot Integrations
Integrated Slack to enable users to receive insights directly within the platform and engage in conversations with the Databook AI bot right where they are.
Led the strategy, data architecture, research, design, UX delivery and prototype.
Led the strategy, data architecture, research, design, UX delivery and prototype.
Led the strategy, data architecture, research, design, UX delivery and prototype.
Slack Bot Conversation Designs
Acquired knowledge of Slack best practices and spearheaded the design of response types and user actions, collaborating closely with engineering, product management, and marketing teams.
