A well-defined research problem is specific, researchable, relevant, and feasible. It should focus on an actual issue within IT, business, or design and provide clear direction for investigation or solution development.
✅ Specific – Clearly identifies the issue, context, and scope.
✅ Researchable – Can be analyzed using data, surveys, or experiments.
✅ Relevant – Addresses a real need in the industry or community.
✅ Feasible – Can be studied within the given time and resources.
Research Problem:
Many small businesses struggle with financial discrepancies due to human error in manual data entry. How can automation improve the accuracy of financial reports?
✅ Why It’s Well-Defined?
Focuses on a specific problem (manual data entry errors).
Provides a clear research objective (exploring automation solutions).
Is measurable (data accuracy can be compared before and after automation).
Research Problem:
E-commerce companies often lose customers due to a lack of personalized marketing. How effective is AI-driven recommendation technology in increasing customer retention?
✅ Why It’s Well-Defined?
Addresses a real business challenge (customer retention).
Can be studied through data analytics and user testing.
Is relevant to businesses seeking higher engagement and profits.
Research Problem:
Many government service apps have poor accessibility for people with disabilities. How can UX design improvements enhance accessibility for visually impaired users?
✅ Why It’s Well-Defined?
Identifies a specific design issue (accessibility in government apps).
Can be researched using user testing and accessibility guidelines.
Contributes to inclusive and user-friendly technology.
🔹 Identify an issue that you have personally experienced for more passion and engagement.
🔹 Conduct preliminary research to ensure it’s a real, widespread problem.
🔹 Consider user research and data-driven insights to validate the problem.