Descriptive Research and Marketing Research Processes

Descriptive research focuses on understanding consumer behavior, motivations, and preferences through observation and survey techniques.
Employs various data collection methods such as surveys, observation, and analytics to measure effectiveness.
Research is often informed by technological advancements in data gathering and consumer monitoring.

MRP steps include:
- Identifying the main outcome and its components.
- Developing Research Questions (RQs) to explore the relationships between various components.
- Example of MRP:
- Outcome: Customer satisfaction
- Component: Perception of attributes (Quality, Price, Tech Support).
The overall goal of MRP is to develop a structured approach to resolving marketing issues.

Exploratory Research Design: Used for discovering insights.
Descriptive Research Design: Focused on detailing characteristics of the population.
- Types:
- Single Cross-Sectional Design
- Multiple Cross-Sectional Design
Causal Research Design: Examines cause-and-effect relationships.

Defining the Problem: Precise outlining of the issue at hand.
Developing an Approach to the Problem: Planning on how to investigate.
Formulating a Research Design: Detailed strategy on methods and tools used.
Collecting Data: Fieldwork or surveys conducted to gather needed information.
Analyzing Data: Processing and interpreting the data collected.
Preparing and Presenting the Report: Summarizing findings and delivering to stakeholders.

A well-structured questionnaire consists of:
A clear opening statement explaining the study's purpose.
Questions divided into fixed-alternative (structured) and open-ended (unstructured) types.
Limit open-ended questions due to analysis complexity.
Keep questions clear and concise, minimizing ambiguity.
Provide options for respondents to skip difficult questions (e.g., "Don’t know") and consider visual aids to enhance understanding.

Categorical Questions:
- Examples: Gender, Age group, Income level.
- Must have mutually exclusive categories.
Metric Questions:
- Measure strength of feelings and attitudes.
- Examples include Likert scales evaluating agreement or satisfaction levels.

Choosing Wording: Use clear, ordinary language to avoid bias or leading questions.
Avoid Implicit Alternatives and Assumptions: Ensure questions are clear and that there are no hidden choices.
Consider Response Options: Ensure options cover the range of potential responses without ambiguity.

Measurement relates to the assignment of numbers/symbols to characteristics based on defined rules.
Scales Types:
- Nominal: Classification without order (e.g., gender).
- Ordinal: Ranked order (e.g., satisfaction level).
- Interval: Equal distance between points but no absolute zero (e.g., temperature).
- Ratio: Has an absolute zero; allows for all arithmetic operations (e.g., weight).

Questions should be structured such that:
- Each question effectively measures a defined variable and each response can be coded for analysis.
Example survey may ask:
- "How likely are you to recommend HP?" (scale of 1-10).
Responses can be analyzed using statistical techniques to derive insights.