SEGWISE.AI

Web App

Web App

Wise

Wise
Perf. marketing analytics coworker

Perf. marketing analytics coworker

Role : Lead Product Designer (0 -1 scale)

UX Design

UI Design

AI

Design System

Illustration

Branding

V2 In Production

Overview

Segwise started out as reports and dashboards. Just connect MMPs or Adnetworks and segwise does the rest. With AI tagging of creatives, users can use the reports to find out their best tags and then with the insights from the tags, create the next set of winning creatives.

Segwise started out as reports and dashboards. Just connect MMPs or Adnetworks and segwise does the rest. With AI tagging of creatives, users can use the reports to find out their best tags and then with the insights from the tags, create the next set of winning creatives.

My Role

Individual Contributor for Design
(Lead Designer)

Team Members

Mohamed Shayan - PM
Brijesh Bharadwaj - Co-founder
Shobhit Gupta - Co-founder
Kush Daga - Founding Eng.
Mihir Gupta - FE/BE

Problem Statement

The problem with reports is that it still meant a human had to spend their time on analysing the data. We needed to reduce this. Most users just wanted a daily brief on what they had to do for the day.

The problem with reports is that it still meant a human had to spend their time on analysing the data. We needed to reduce this. Most users just wanted a daily brief on what they had to do for the day.

Takeaways!!

→ Analysing reports - time consuming & frustrating

→ Clients want a coworker/assistant to do the heavy lifting

→ Fatigue/New Launch Insights need to be prominent

→ Creative generation needs to be implemented.

Brainstorming

Ideation of Key Insights

The solution was to create an intelligent coworker who analyses the tags, derives insights and tells the UA manager exactly what to create next; a checklist to complete for the day!

The solution was to create an intelligent coworker who analyses the tags, derives insights and tells the UA manager exactly what to create next; a checklist to complete for the day!

Solutions

& Iterations

The solution required strong discoverability and intelligent guidance that not only surfaced insights but also acted on them. I designed Wise, an AI-powered coworker for UA managers that proactively highlights critical daily insights, recommends next steps, and executes routine optimization tasks.
Users can ask follow-up questions, assign ad-hoc tasks, and generate creatives based on performance insights and optimal tagging, closing the loop between analytics and execution. Wise ultimately becomes the product’s command center, supporting onboarding, decision-making, and the end-to-end user journey.

The solution required strong discoverability and intelligent guidance that not only surfaced insights but also acted on them. I designed Wise, an AI-powered coworker for UA managers that proactively highlights critical daily insights, recommends next steps, and executes routine optimization tasks.

Users can ask follow-up questions, assign ad-hoc tasks, and generate creatives based on performance insights and optimal tagging, closing the loop between analytics and execution. Wise ultimately becomes the product’s command center, supporting onboarding, decision-making, and the end-to-end user journey.

Metrics

& Validations

This is the V1 iteration of the designs made. Few iterations were made to adapt to the constraints. This will not be disclosed until the agent is Live.

This is the V1 iteration of the designs made. Few iterations were made to adapt to the constraints. This will not be disclosed until the agent is Live.

Wish to learn more?

Request to Connect