1. Understanding the Research Question

A strong research question is the foundation of any study. It should clearly define what you want to investigate and why it matters. A significant question addresses gaps in knowledge or clinical practice, while a feasible question ensures the study can actually be conducted with available resources.

2. Balancing Significance

Significance is about the impact of your research. Ask yourself: Will the results influence clinical decisions, policy, or patient outcomes? A highly significant question attracts attention and funding but might require complex data or large samples.

3. Ensuring Feasibility

Feasibility focuses on practicality: Do you have access to patients, datasets, or lab resources? Is the timeline realistic? Feasibility prevents research from stalling due to lack of data, skills, or time. Always match your ambition with available resources.

4. Strategies to Optimize Both

Prioritize clarity: A narrow, precise question can be both impactful and doable.

Pilot studies: Small-scale testing can help assess feasibility before a full project.

Iterative refinement: Adjust your question based on available data, mentorship, and resources.

Example

Imagine you want to study the effect of a new drug on heart attack recovery.

Significant: Could change clinical practice.

Feasible: If your hospital only has 20 eligible patients a year, it might be too small.
Optimized question: “Does Drug X improve recovery time after heart attack in patients admitted to our hospital over the past 2 years?”

It’s both impactful (helps local patient care) and doable (uses existing records).