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Design Awesome (Lalitha Ramani)

October 25, 2013

Design Awesome (Lalitha Ramani)

alitha will share Intuit's knowledge and best practices of product building namely its best practices in Lean Startup & Design Thinking. Participants will be introduced to insights in building products that always delight customers.


October 25, 2013

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  1. Why do we love some products while not even remember

    other products? We love awesome products... ...these not only deliver functionality but also touch our hearts
  2. It aligns the team’s passion and obsession to deliver nothing

    less than awesome. Inspire Align a product vision is more than a statement. It is a belief in how your product will impact the lives of those you serve
  3. how to translate vision and design principles into a product?

    First, document a bold vision for which you will attempt to create an idea customers love. Next, make your idea tangible by listing your 1) customer 2) problem 3) solution. Next, run experiments with real customers using the “experiment loop”. Run multiple “experiment loops” until you have determined if your idea is viable (or not).
  4. why experiments? We use rapid experiments to quickly test the

    merit of our ideas, and generate new insights about our customers. By testing ideas using real customer behavior, we quickly separate what customers say, from what they actually do in the real world. Experiment to learn, not validate • Change opinions into facts • Prove or disprove our assumptions • Discover surprises about our customer • Make more informed decisions • Use data to help tell our story Rigor Inspiration Rapid Experiments
  5. rapid experiment loop 1. Leap of Faith Assumption (LOF) Your

    LOF is the most important behavior that must be true for your idea to work. You assume it to be true, but have not yet proven this assumption with evidence. 2. Build Experiments Build the absolute minimum required to test your assumption. Document a hypothesis and minimum success criteria, and be sure to measure real customer behavior. “If we do X, Y% of customers will behave in way Z” 3. Learn & Decide Review metrics from your experiment, and the surprises you observed. Discuss why your hypothesis passed or failed, and new customer insights you discovered. Decide if you will change your idea (pivot), continue (persevere), or run additional experiments. “Pivot - the experiment failed”