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The Research Process is a systematic, step-by-step procedure followed by a researcher to investigate a problem, collect data, analyze it, and arrive at conclusions. According to G.C. Beri, the research process involves several interconnected steps that must be followed in a definite logical sequence — like a recipe, skip a step and the result is ruined!
Bad: "Our company is not doing well." Good: "Why have sales of Product X dropped 25% in North India from Jan–March 2024?"
H0 (Null): No relationship. H1 (Alternative): A relationship DOES exist.
Step 1: Problem — Why do customers abandon shopping carts? → Step 2: Literature review on online shopping behaviour → Step 3: H1 — High shipping costs cause abandonment → Step 4: Descriptive design, online survey → Step 5: Sample = 1000 Flipkart users → Step 6: 15-question online survey → Step 7: Analysis — 65% abandon due to high shipping → Step 8: Recommendation — free shipping above Rs. 499. Result: Flipkart Plus was launched!
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A university professor notices students who frequently use social media during study hours score lower on exams. He reviews existing studies — some suggest social media causes distractions and mental illness, others argue it can enhance learning. Create multiple hypotheses based on observations and literature.
A hypothesis is a tentative, testable statement about the expected relationship between two or more variables. Written BEFORE data collection. According to G.C. Beri — a hypothesis is a proposition which the researcher wants to verify through data.
Set 1 — Social Media & Exam Scores
Set 2 — Social Media & Distraction / Mental Health
Set 3 — Educational Content on Social Media
Set 4 — Time Spent vs CGPA
Professor surveys 200 students: daily social media hours + their exam marks → calculates correlation → If students spending 4+ hrs/day score 15% lower than those spending under 1 hr/day → H0 is REJECTED, H1 is SUPPORTED!
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Research Design is the master plan or blueprint that specifies the methods and procedures for collecting, measuring, and analyzing data. According to Kerlinger — "Research design is the plan, structure, and strategy of investigation conceived so as to obtain answers to research questions and to control variance." Just like an architect draws a blueprint before constructing a building — a researcher creates a research design before collecting data!
- Provides direction and focus to the research
- Ensures efficiency — minimum time and cost for maximum results
- Makes findings more reliable and valid
- Helps in controlling extraneous variables
- Provides a basis for comparison of results
- Used when the research problem is NOT clearly defined
- Purpose: to EXPLORE a new area, gain insights, and generate ideas
- Very flexible and unstructured — no rigid framework
- Methods: Focus group discussions, Expert interviews, Case studies, Literature review
- Outcome: Helps refine the problem for further structured research
A startup wants to enter food delivery in Nagpur. They don't know the market at all. They conduct exploratory research — focus groups with customers, casual interviews with restaurant owners — just to UNDERSTAND the market before forming a specific research question.
- Used to DESCRIBE characteristics of a population or situation
- Answers the question: "WHAT IS happening?"
- More structured than exploratory research
- Methods: Surveys, questionnaires, structured observation
- Hypothesis is usually present
Myntra wants to know "Who are our customers?" They survey 5000 users and find: 65% female, age 18–35, income Rs.30,000–60,000/month, order 2–3 times/month. This describes the customer profile — that's descriptive research!
- Used to establish CAUSE AND EFFECT relationships
- Answers: "WHAT CAUSES what?"
- One variable changed (Independent Variable — IV), effect measured on another (Dependent Variable — DV)
- All other variables kept CONSTANT
- Most scientific and controlled design
Amazon tests: "Does changing the Buy Now button color increase purchases?" — RED button to Group A, GREEN button to Group B (everything else identical). Group A: 12% click rate. Group B: 18% click rate. Conclusion: Green button CAUSES higher purchases. This is causal research!
| Basis | Exploratory | Descriptive | Causal |
|---|---|---|---|
| Purpose | Explore unknown area | Describe characteristics | Find cause & effect |
| Structure | Flexible, unstructured | Structured | Highly controlled |
| Question | What is happening? | Who / What / How many? | Why / What causes it? |
| Methods | FGD, interviews | Surveys, questionnaires | Experiments, A/B testing |
| Hypothesis | Not required | Usually present | Always required |
Exploratory: Casual talks with customers — "Tell us about your experience." → Descriptive: Survey 1000 customers — frequency, satisfaction, ordering habits. → Causal: Does introducing a loyalty card CAUSE repeat visits? Give card to Group A only, compare with Group B after 3 months!
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"Dharti Putra" tractor brand wants to conduct a survey on: Brand preference, Brand perception, Pricing, Product Characteristics, Consumer acceptance, Satisfaction level, and more. Formulate suitable research objectives.
Research Objectives are specific, measurable goals that break down the broad research problem into smaller, achievable tasks. They tell exactly WHAT we want to achieve. Good objectives must be SMART — Specific, Measurable, Achievable, Relevant, Time-bound.
Each objective is Specific (focused on one issue) · Measurable (can be measured via survey ratings 1–5) · Achievable (can be studied by surveying farmers) · Relevant (directly linked to Dharti Putra's business problem) · Time-bound (can be completed in the survey period). Together they cover ALL 6 issues mentioned in the question!
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Research is a systematic, organized, and scientific process of finding answers to questions we do not yet know. According to Redman and Mory — "Research is a systematized effort to gain new knowledge." The NATURE of research refers to its distinct characteristics that make it different from ordinary inquiry or guesswork.
Empirical · Scientific · Systematic · Replicable · Transmittable · Quality Control · Logical · Problem Solving · Generalization · Decision-Making
Research is not just data collection. Its nature — empirical, systematic, logical, replicable — ensures that the knowledge generated is trustworthy, valid, and directly useful for business decision-making. These 10 characteristics together make research a powerful scientific tool for managers.
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A coffee chain wants to understand customer behaviour in stores to enhance satisfaction and improve sales. They want to know how customers interact with: store layout, menu displays, and seating arrangement, and how these impact purchasing behaviour. They conduct a 2-week observational research study. Illustrate the types of data to focus on.
Observation Method is a primary data collection technique where the researcher watches and records actual behaviour without asking questions. It captures REAL behaviour — what people actually DO, not what they SAY they do. It is perfect for in-store customer behaviour research!
| Type of Observation | How Used in Coffee Chain Study |
|---|---|
| Structured Observation | Use a checklist — tick each time a specific behaviour occurs (looks at menu board, picks up add-on item, uses kiosk). Count and record systematically. |
| Non-Participant Observation | Researcher sits quietly in a corner and observes customers without interacting — customers behave naturally and authentically. |
| Disguised Observation | Customers do NOT know they are being observed — ensures natural, unbiased behaviour. Researcher may pose as regular customer or use CCTV analysis. |
| Indirect Observation | Analyze CCTV footage, POS sales data (most ordered items), and transaction records — all are indirect evidence of actual customer behaviour. |
| Direct Observation | Trained observer physically present in store watches and records live customer interactions with store environment using structured form. |
Week 1: Observation reveals customers spend 40 seconds reading the menu board but rarely notice the seasonal drink promotion on the SIDE wall — 8% order it. Week 2: After moving the promotion to the MAIN menu board — 31% order the seasonal drink. Result: A simple display change = 4x increase in seasonal drink sales! This is the power of observational research.
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| Basis | Primary Data | Secondary Data |
|---|---|---|
| Meaning | Collected fresh by researcher for first time | Already existing data, collected by someone else |
| Source | Surveys, interviews, observation, experiments, FGD | Govt reports, journals, company records, RBI, census |
| Nature | Original and new — never existed before | Second-hand information — already published |
| Cost | Expensive — requires manpower, tools, time | Cheap or free — readily available |
| Time | Very time-consuming to collect | Quickly obtained |
| Relevance | Highly specific to the research problem | May not perfectly fit the research needs |
| Accuracy | Researcher controls accuracy and quality | Accuracy depends on original data collector |
| Currency | Always up-to-date — collected now | May be outdated |
| Bias | Can be controlled by researcher | Original collection bias may exist |
| Examples | Questionnaire, personal interview, focus group | RBI bulletin, NASSCOM report, Google Scholar paper |
Secondary Research first: Read Maharashtra Govt data on Pune population, food industry reports by NRAI, competitor reviews on Zomato — all EXISTING data. Saves time and gives background.
Primary Research next: Conduct your own survey asking 200 Pune residents: "What cuisine do you prefer? How much would you spend? Which area?" — FRESH data collected by YOU for this specific purpose.
Both together = a complete, informed business decision!
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Pro Electronics (smartphones, tablets, smart home devices) has noticed decline in repeat customers and increase in negative social media feedback. They want to identify issues in: product quality, pricing, services, and overall satisfaction. Design a questionnaire covering all concerns.
A questionnaire is a set of planned questions designed to collect data needed to meet research objectives. This questionnaire is designed for Pro Electronics to find exactly WHY customers are not returning and what is causing negative feedback. It covers all 4 concern areas using a mix of Likert scale, multiple-choice, and open-ended questions.
Q4–Q7 pinpoint exact quality issues → Q8–Q9 reveal if pricing is the problem → Q10–Q12 expose service failures → Q14–Q16 directly measure loyalty and reasons for leaving. After analyzing 200 responses, Pro Electronics gets a clear picture of the problem — and can take precise corrective action!