With the explosion of AI, I led the design team that integrated the first AI tools into WordPress. As a life-long learner, I completed the Product Design for AI course taught by IBM's former Principal AI Designer, Robert Redmond, to lead my team better and enhance collaboration with AI engineers.
With the explosion of AI, I led the design team that integrated the first AI tools into WordPress.
As a life-long learner, I completed the Product Design for AI course taught by IBM's former Principal AI Designer, Robert Redmond, to lead my team better and enhance collaboration with AI engineers.
With the explosion of AI, I led the design team that integrated the first AI tools into WordPress. As a life-long learner, I completed the Product Design for AI course taught by IBM's former Principal AI Designer, Robert Redmond, to lead my team better and enhance collaboration with AI engineers.
Course project:
Insight Bridge
The Problem
Product teams struggle to quickly prioritize UX issues, often missing improvement opportunities while sifting through diverse data sources.
Objectives
Create an AI driven app to help users quickly identify potential opportunities for improvement in their applications.
Create real-world, implementable AI Technical map architecture.
Create wireframes and ux flows for core features.
Create a pitch deck to present to stakeholders to show the value prop of building the app.
Audience
UX & Growth Designers.
Product Managers & Product Owners
Growth Engineers & Engineers.
Researchers
Course project: Insight Bridge
The Problem
Product teams struggle to quickly prioritize UX issues, often missing improvement opportunities while sifting through diverse data sources.
Objectives
AI-drivenCreate an AI-driven app to identify potential opportunities for improvement in their applications quickly.
Create real-world, implementable AI Technical map architecture.
Create wireframes and UX flows for core features.
Create a pitch deck to present to stakeholders to show the value prop of building the app.
Audience
UX & Growth Designers.
Product Managers & Product Owners
Growth Engineers & Engineers.
Researchers
AI Technical mapping
NLP
Extract themes, detect sentiment, and categorize feedback with refinement options.
Sentiment Analysis
Gauge user sentiment to calculate frustration scores.
Topic Modeling
Identify recurring feedback themes and pain points.
Predictive Analytics
Forecast trends like churn and prioritize UX risks.
Machine Learning
Automate behavior analysis with manual refinement.
Recommendation Systems
Deliver personalized UX suggestions.
Anomaly Detection
Spot deviations to flag potential issues.
Clustering & Segmentation
Group users/feedback for targeted improvements.
Jobs to be done
UX & Growth Designers
Identify opportunities for improving CVR and features overall.
Identify critical issues with existing features.
Product Managers & Owners
Prioritize roadmap items.
Address revenue-critical issues.
Engineers & Growth Engineers
Assess the frustration level nd audience impact of issues requiring significant development investment.
Researchers
Tailor research scripts to explore issues identified in the app.
Pinpoint key areas for further research.
Jobs to be done
UX & Growth Designers
Identify opportunities for improving CVR and features over all.
Identify critical issues with existing features.
Product Managers & Owners
Prioritize roadmap items.
Address revenue-critical issues.
Engineers & Growth Engineers
Assess the frustration level and audience impact of issues requiring significant development investment.
Researchers
Tailor research scripts to explore issues identified in the app.
Pinpoint key areas for further research.
AI Technical mapping
NLP: Extract themes, detect sentiment, and categorize feedback with refinement options.
Sentiment Analysis: Gauge user sentiment to calculate frustration scores.
Topic Modeling: Identify recurring feedback themes and pain points.
Predictive Analytics: Forecast trends like churn and prioritize UX risks.
Machine Learning: Automate behavior analysis with manual refinement.
Recommendation Systems: Deliver personalized UX suggestions.
Anomaly Detection: Spot deviations to flag potential issues.
Clustering & Segmentation: Group users/feedback for targeted improvements.
Technical flow map
Define data flow and decision points, integrating AI workflow automation with manual user intervention to manage, prioritize, and address customer feedback or issues.
AI dashboard wireframe with user feedback flow
This wireframe outlines a seamless flow that integrates AI insights with manual intervention, providing a user-friendly interface for efficient decision-making and improved user experience.
Detailed wireframes
This app would need human intervention to help shape the data. I mapped out each step where designers, product owners an engineers could shape the data.
Feature ideation
Close the loop: Notify users who abandoned a task due to an issue once it's fixed to rebuild trust.
Close the loop: Notify users who abandoned a task due to an issue once it's fixed to rebuild trust.
Learnings
A solid grasp of the AI methodologies available to enhance products.
Understanding the limitations, engineering requirements, and computing power required for teaching and ongoing learning with AI models.
Insight into biases in data used in AI-driven products and how to ensure AI projects are inclusive.
The pitch deck
To complete the course, I created a pitch deck for stakeholders, highlighting the benefits of implementing Insight Bridge, along with a SWOT analysis to support the proposal.