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Case study

Operations Launchpad

Ops Launchpad is a platform developed to provide business users with integrated L-Allergan and L-AbbVie data analytics and reporting. The dashboard leverages machine learning and conversational AI capabilities to deliver personalized recommendations, simplified access to data, and a single view of operations systems & data assets.

Challenge

The dashboard's presentation of data was unclear and lacked context, making it difficult for users to interpret and make informed decisions.

The dashboard's high bounce rate and decreased user time indicated its failure to meet its full potential and support informed decision-making.

The dashboard's complex navigation hindered users' ability to efficiently find the information they needed, leading to reduced productivity and engagement.

My role

As a UX Lead, I demonstrated leadership in driving strategic UX design decisions that aligned with business objectives.

Successfully identified opportunities for growth and innovation in data visualization and user experience.

Orchestrated a user-centric design process, collaborating closely with developers, data analysts, and product managers.

Expanded responsibilities to include brand design and creative direction.

Effectively communicated value propositions to business users through pitched decks and educational materials.

Conceptual sketch

OLP sketch 1
OLP sketch 2

Navigation flow

OLP-flow

Navigation flow of Operations Launchpad dashboard

Branding

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OLP-brand-logo-breakdown.png

Launch

Operations

Data

Cognitive Search Engine - capability

Cognitive Search Engine

Deployed content page displaying Cognitive Search Engine's 'predictive text search' along with features like 'recent searches', 'suggestions based on user-role', and narrowed-down 'result list'.

The idea was to transform the search experience of the business users by understanding the intent behind their query and provide accurate results.

Predictive text search anticipates the queries as the users type, offering suggestions to streamline the search process.

Improved the search of applications and/ or reports using keywords.

Understanding natural language queries, making it easier for the users to find the relevant results.

Delving deeper with the semantic search, which understands the context and intent behind the queries, delivering results that aligns with the users' needs.

Access Request Guide - capability

Access Request Guide

Deployed content page illustrates Access Request Guide with instructions based tailored to "KINNECT Control Tower."

The Access Request Guide is a capability that allows business users to request access to a specific application, report or transactional tool. This feature is crucial because it allows users to get the information or functionality they need, even if they do not have the necessary permissions. The guide provides instruction of steps for users to follow for submitting the request either via SNOW or IAM.

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Extensive research showed that most users had to email the respective product owners to submit an access request on their behalf. This finding acted as a guiding principle during the design process.

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The request tooltips varies based on the type of application, report or transactional tool.

Access Request Guide variations with instructions based on the type of application, report or transactional tool. 

Impact

The new dashboard has had a significant positive impact on business users, improving their productivity, engagement, and decision-making by nearly 60%.

Users are now able to navigate information efficiently.

The dashboard's engaging design and informative content have led to increased user engagement.

Users are now better equipped to make informed decisions.

Near real-time alerts framework: in-development

Alerts framework panel

In-development: Alerts framework panel displaying near real-time alerts mapped to each user-role.

Alerts framework dashboard

In-development: Alerts framework dashboard displaying latest alerts' trends, subscribed alerts, and predefined alerts for users.

© Vraj Shah 2025

Copyright to Vraj Shah
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