The story
The Situation
As a startup founder, I faced pressure to add AI into our product roadmap. The challenge was deciding where AI made sense, how to explain it to stakeholders, and how to avoid wasting time on features that looked good but lacked real value.
Patterns
The Approach
The UX for AI Manual gave me a framework to evaluate AI responsibly. It helped me decide when to use AI, how to communicate its value, and how to build trust in how we used data, bringing clarity to my decisions.
When and how should I use AI?
Helped me validate where AI added unique value, so we only invested in features that solved real user problems.
How do I explain AI to my team?
Shifted conversations from algorithms to outcomes, making AI benefits clear for both my team and investors.
How do I build trust with data use?
Guided me to be transparent about privacy and data practices, which reassured both users and stakeholders.
Activities
The Key Steps
SWOT Analysis
Made me evaluate strengths, weaknesses, opportunities, and risks before committing to AI features.
Golden Circle
Clarified our Why, How, and What, strengthening the product narrative for both users and investors.
Lessons Learned
Helped us capture insights each sprint, avoiding repeated mistakes and improving our AI process.
How Might We
Turned vague challenges into actionable opportunities, sparking creative but realistic AI feature ideas.
Recommendation
Make Smarter AI Decisions Faster
If you’re a founder, the UX for AI Manual is your decision-making toolkit. It helps you cut hype, save time, and design AI features that matter to both your users and your business.
The UX for AI Manual gave me clarity and structure. It saved weeks of trial and error and helped me guide my team to build AI features with confidence.
Neha Kapoor
Founder – SaaS Startup
