1—Finding the problem

✦ Listen to Users — through interviews, surveys, or analyze feedbacks.

✦ Success Needs to be Measurable — whether it’s smoother user engagement, less friction, or higher conversions.

✦ Align with the Big Picture — talk with stakeholders, does the measurable goals make sense?

2—Does the problem is really a problem?

✦ Ask the Right Questions — Is this a real pain in the ass or just a minor inconvenience? How often does it occur, and how many users does it affect?

✦ Get User Feedback — Sometimes, what seems like a problem might not matter to users. Listening to them helps separate assumptions from reality.

3—Solution Hypothesis

✦ Propose a Testable Idea — Frame the hypothesis like: “If we do X, users will complete XX% faster”.

✦ Prototype and Test — Build a quick prototype to validate the hypothesis through user testing or A/B experiments.

4—Prototype and Validate

✦ Iterate Rapidly — Make quick adjustments based on informal feedback before moving to more formal testing.

✦ Real Users, Real Scenarios — Observe target users interacting with the prototype to identify friction points and validate usability.

✦ Actionable Insights — Measure task success rates, time taken, and user satisfaction from usability tests and refine the solution.

5—Final Design

✦ Collaborative Feedback — Share the final design with developers, stakeholders, and other team members to address feasibility, functionality, and business alignment.

6—Development

✦ Design Consistency Checks — Ensure the implemented design aligns with the style guide.

✦ Functionality Testing — Verify that interactive elements work as intended and provide a smooth user experience.

✦ Proactive Problem-Solving — Anticipate questions by providing detailed documentation, assets, and design rationale upfront.

✦ Bug Reporting — Identify and document any issues for developers to address during the process.

✦ Collaborative Communication— Stay accessible to developers for any clarifications or adjustments.

7—Metrics Analysis

✦ Compare Before and After — Use key performance indicators (KPIs) to evaluate improvements.

✦ Measure the Hypothesis — Analyze data to see if the design achieved the intended goals (e.g., higher task completion, reduced friction).