The method and the sample jointly determine what you can know
A perfect survey of the wrong people is still weak evidence. Ten rich interviews are not a market estimate.
What do we need to know?
Explore why, estimate how much, compare, or test.
What evidence can answer it?
Qualitative, quantitative, behavioral, experimental.
Who or what is included?
Frame, size, selection, missing groups.
Which design can answer the question?
A company wants to know why trial users do not renew and how common each reason is.
Survey 10,000 users
List possible reasons
Report percentages
Interview and observe first
Build answer categories
Survey a representative sample
Compare behavior by group
Research design is a chain of fit
Each choice limits the next.
Common evidence families answer different questions
No method sees the whole field.
Why, how, language, context
Depth and mechanism; not prevalence.
How many, how often, difference
Scale and comparison; depends on measurement quality.
What happened under conditions
Action evidence; motive may remain unknown.
What changes when a condition changes
Stronger causal inference; requires control and clean design.
Design the research and the sample together
Create a credible plan for one business question.
How far can the finding travel?
Representativeness is a property of the claim, not a compliment about sample size.
One question, two methods, one honest claim
The methods work together without pretending to be interchangeable.
Question first. Sample before claim.
Research rigor is the fit among the decision, evidence, and population.