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Market Research: Data Analysis and Interpretation Guide

Learn how to organize research data, calculate descriptive statistics, interpret survey results, and translate data into actionable business insights.

#market-research#data-analysis#descriptive-statistics#business-insights#survey-results#customer-trends#data-organization
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MARKET RESEARCH MODULE

Data Analysis and Interpretation

Making Sense of What Your Customers Are Telling You

๐Ÿ“Š
๐Ÿ“ˆ
๐Ÿ”
๐Ÿ“‹
Lesson 5 | Understanding Your Data
Prepared for Student Learning | April 2026
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LESSON OVERVIEW

What We'll Cover Today

By the end of this lesson, you will be able to analyze and interpret research data confidently.

Duration: 90 Minutes
01
๐Ÿ“ Organizing Research Data
02
๐Ÿ“Š Basic Descriptive Statistics
03
๐Ÿ“‹ Interpreting Survey Results
04
๐Ÿ” Identifying Customer Preferences & Trends
05
๐Ÿ’ก Translating Data into Business Insights
Lesson Objectives & Topics
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LEARNING OBJECTIVES
Data Analysis and Interpretation
Organize collected research data systematically
Calculate and interpret basic descriptive statistics
Read and interpret survey results accurately
Identify patterns in customer preferences and trends
Convert data findings into actionable business insights
Market Research Module | Data Analysis and Interpretation
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TOPIC 1

Organizing Research Data

Before you can analyze data, you need to structure it properly.
Getting Your Data Ready for Analysis
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TOPIC 1 โ€” ORGANIZING DATA

What is Research Data?

โ€ข Data = Information collected from surveys, interviews, observations
โ€ข Can be NUMBERS (quantitative) or WORDS (qualitative)
โ€ข Examples: survey scores, customer ratings, written feedback
โ€ข Raw data is messy โ€” it needs to be organized first!
Quantitative Data: Numbers & Statistics
Qualitative Data: Opinions & Descriptions
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TOPIC 1 โ€” ORGANIZING RESEARCH DATA
How to Organize Your Data
Step 1
Collect All Responses
Gather all surveys, forms, and notes in one place
Step 2
Create a Data Table
Enter responses into rows and columns (use Excel or paper)
Step 3
Label Your Columns
Name each column: Question 1, Age, Gender, Rating, etc.
Step 4
Check for Errors
Look for missing answers or unusual entries
Respondent No. Age Rating (1-5) Preferred Product
001 24 4 Product A
002 35 5 Product B
003 29 3 Product A
004 42 5 Product C
005 31 4 Product A
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โœ๏ธ CLASSROOM ACTIVITY
Topic 1 โ€” Organizing Research Data

Your Task

๐Ÿ“‹
Take the 10 survey responses provided by your teacher
๐Ÿ“Š
Create a simple table with these columns:
  • Respondent Number
  • Age Group
  • Question 1 Answer
  • Question 2 Answer
  • Rating (1โ€“5)
โฑ๏ธ
Time: 10 minutes
๐Ÿ‘ฅ
Work in pairs

Sample Table Structure

No.
Age
Q1
Q2
Rating
๐Ÿ’ก Tip: Neat tables make analysis much easier!
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TOPIC 2

Basic Descriptive Statistics

Simple numbers that describe your data at a glance.
Understanding the Numbers Behind the Data
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TOPIC 2 โ€” BASIC STATISTICS
Key Descriptive Statistics
โž•
โž•
MEAN (Average)
Formula
Add all values รท by number of responses
Example
Ratings: 4, 5, 3, 4, 4 โ†’ Mean = 4.0
๐Ÿ“
๐Ÿ“
MEDIAN (Middle Value)
Formula
Arrange values in order โ†’ find the middle one
Example
3, 4, 4, 4, 5 โ†’ Median = 4
๐Ÿ†
๐Ÿ†
MODE (Most Common)
Formula
The value that appears most often
Example
4 appears 3 times โ†’ Mode = 4
%
%
PERCENTAGE
Formula
(Count รท Total) ร— 100
Example
30 out of 50 prefer Product A = 60%
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TOPIC 2
%
BASIC STATISTICS
Calculating Percentages
WORKED EXAMPLE
Scenario: 50 customers were surveyed. 35 prefer Product A.
Step 1: Identify the part: 35
Step 2: Identify the total: 50
Step 3: Apply formula: (35 รท 50) ร— 100
Step 4: Answer: 70% prefer Product A โœ…
Try These! ๐Ÿ–Š๏ธ
โ€ข
20 out of 40 prefer online shopping. What %?
โ€ข
15 out of 60 rated the product 5 stars. What %?
โ€ข
8 out of 25 would not recommend. What %?
Formula: (Part รท Total) ร— 100 = Percentage
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โœ๏ธ ACTIVITY โ€” BASIC STATISTICS PRACTICE
Topic 2 | Work individually, then check with a partner

Survey Data: Customer Ratings

Customer Rating (1-5)
1 4
2 5
3 3
4 4
5 5
6 2
7 4
8 3
9 5
10 4

Your Tasks ๐ŸŽฏ

1๏ธโƒฃ Calculate the MEAN rating
2๏ธโƒฃ Find the MEDIAN rating
3๏ธโƒฃ Identify the MODE
4๏ธโƒฃ What % gave a rating of 4 or above?
5๏ธโƒฃ What % gave a rating of 3 or below?
โฑ๏ธ Time: 10 Minutes | Then share your answers with the class!
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TOPIC 3

Interpreting Survey Results

What are your customers really saying?

Survey Illustration
Reading Between the Lines of Your Data
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TOPIC 3 โ€” INTERPRETING SURVEY RESULTS

How to Read Survey Results

Look at the Numbers

  • Count how many chose each answer
  • Calculate percentages for each option
  • Note which answer got the MOST responses
  • Note which got the LEAST responses

Spot the Patterns

  • Which answer was most popular?
  • Are certain age groups different?
  • Do responses cluster around one option?
  • Are there any surprising results?

Ask 'So What?'

  • What does this mean for the business?
  • What action should be taken?
  • What should we investigate further?
  • Does this confirm or challenge our assumptions?
๐ŸŽฏ Key Rule: Always go beyond the numbers โ€” explain WHAT they mean for the business!
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WORKED EXAMPLE: Reading Survey Results
TOPIC 3
Survey Question: How satisfied are you with our product?
Satisfaction Level No. of Responses Percentage
Very Satisfied 22 44%
Satisfied 18 36%
Neutral 6 12%
Dissatisfied 3 6%
Very Dissatisfied 1 2%
TOTAL 50 100%
โœ…
80% are satisfied or very satisfied โ€” POSITIVE result!
โš ๏ธ
8% are dissatisfied โ€” needs investigation
๐Ÿ’ก
This suggests the product is well-received overall
RESPONSE DISTRIBUTION
Very Satisfied 44%
Satisfied 36%
Neutral 12%
Dissatisfied 6%
Very Dissatisfied 2%
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โœ๏ธ ACTIVITY โ€” INTERPRET SURVEY RESULTS
Topic 3 | Individual then Group Discussion
Q: Which product feature is most important to you?
Feature Responses %
Price 18 36%
Quality 24 48%
Design 5 10%
Brand Name 3 6%
๐Ÿ† Which feature was MOST preferred?
Why do you think that is?
๐Ÿ“‰ Which feature was LEAST preferred?
What does this tell us?
๐Ÿ’ก Business Focus
What should the business focus on based on this data?
๐Ÿค” Surprising Results
Are you surprised by any result? Why or why not?
โฑ๏ธ Time: 8 Minutes | Be ready to share your interpretation with the class!
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TOPIC 4

Identifying Customer
Preferences & Trends

Discovering what your customers want โ€” and where things are heading.

Following Your Customers' Signals
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TOPIC 4 โ€” PREFERENCES & TRENDS

What Are Customer Preferences?

Customer Preferences = The specific products, features, prices, or experiences that customers choose over alternatives.
๐Ÿ›๏ธ What products do they prefer?
๐Ÿ’ฐ What price range suits them?
๐ŸŽจ What designs/styles do they like?
๐Ÿ“ Where do they prefer to buy?
โญ What quality level do they expect?
๐Ÿ“ฑ How do they prefer to communicate?
Identifying these helps businesses tailor their offerings to meet real customer needs.

WHY IT MATTERS.

๐ŸŽฏ
Better Products
Design what customers actually want
๐Ÿ’ธ
Higher Sales
Sell what people are willing to buy
๐Ÿค
Customer Loyalty
Build long-term relationships
PREFERENCES & TRENDS MODULE
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TOPIC 4 โ€” IDENTIFYING PREFERENCES & TRENDS
Spotting Trends in Your Data

What is a Trend?

A trend is a pattern or direction that appears consistently across multiple responses.

๐Ÿ“ˆ Rising Trend
More customers prefer something over time
๐Ÿ“‰ Declining Trend
Fewer customers prefer something over time
๐Ÿ”„ Consistent Trend
Same preference holds steady across groups
โšก Emerging Trend
A new preference just starting to appear

๐Ÿ” How to Spot a Trend

1
Compare responses across different groups (age, gender)
2
Look for repeated answers to the same question
3
Notice if certain options always rank high/low
4
Compare with previous research if available
๐Ÿ’ก Example: If 70% of customers under 30 prefer online shopping, that's a trend worth noting!
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โœ๏ธ ACTIVITY โ€” SPOT THE TREND
Topic 4 | Small Group Work (3-4 students)
The Data

Survey: Preferred Shopping Method by Age Group

Age Group In-Store Online Both
Under 20 5 (10%) 35 (70%) 10 (20%)
21-30 10 (20%) 30 (60%) 10 (20%)
31-40 20 (40%) 15 (30%) 15 (30%)
41-50 30 (60%) 10 (20%) 10 (20%)
50+ 35 (70%) 8 (16%) 7 (14%)
Group Discussion Questions

๐Ÿ—ฃ๏ธ Discuss with Your Group:

  1. What trend do you notice about younger customers?
  2. What trend do you notice about older customers?
  3. What does this mean for a business selling products?
  4. If you were the business owner, what would you do differently for each age group?
  5. Can you think of a real business that has already noticed this trend?
โฑ๏ธ 10 Minutes Discussion | Then present your findings to the class!
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TOPIC 5

Translating Data into
Business Insights

Turning numbers into smart decisions.

From Raw Numbers to Powerful Decisions
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TOPIC 5

From Data to Business Insights

๐Ÿ”ข DATA COLLECTION
Gather your survey responses
๐Ÿ“Š DATA ORGANIZATION
Sort into tables, label columns
๐Ÿ“ DATA ANALYSIS
Calculate percentages, mean, mode
๐Ÿ” INTERPRETATION
Identify patterns and trends
๐Ÿ’ก BUSINESS INSIGHT
Make recommendations & decisions
REAL EXAMPLE
Data: 65% of customers prefer eco-friendly packaging

Insight: Switch to sustainable packaging to attract more buyers and build brand loyalty.
Data without interpretation is just numbers โ€” Insights drive action!
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Writing a Business Insight Statement
TOPIC 5
THE INSIGHT FORMULA:
[Finding] + [What it means] + [Recommended Action]
๐Ÿ“Š
Finding: 72% of customers prefer mobile payments
๐Ÿ’ก
Meaning: Customers value convenience and speed
๐ŸŽฏ
Action: Introduce a mobile payment option in-store
๐Ÿ“Š
Finding: Only 15% of respondents were satisfied with delivery time
๐Ÿ’ก
Meaning: Delivery speed is a major pain point
๐ŸŽฏ
Action: Partner with a faster logistics provider
๐Ÿ“Š
Finding: 80% of under-25s discovered the brand on social media
๐Ÿ’ก
Meaning: Social media is the most effective channel for young customers
๐ŸŽฏ
Action: Increase investment in social media marketing
โœ๏ธ YOUR TURN: Write an insight statement using data from your own survey!
Business Strategy & Analysis
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๐ŸŽฏ PRACTICAL ACTIVITY
Analyzing YOUR Survey Responses
Group Work | Full Class Activity
๐Ÿ”ข
STEP 1
๐Ÿ”ข
Calculate Percentages
โ€ข
Take your collected surveys
โ€ข
Count responses for each question
โ€ข
Calculate % for each answer option
โ€ข
Use formula: (Count รท Total) ร— 100
โ€ข
Record results in your table
๐Ÿ”
STEP 2
๐Ÿ”
Identify Key Preferences
โ€ข
Which answer was most chosen?
โ€ข
Which was least chosen?
โ€ข
Are there differences by age/gender?
โ€ข
What do customers value most?
โ€ข
Note the top 3 findings
๐Ÿ—ฃ๏ธ
STEP 3
๐Ÿ—ฃ๏ธ
Discuss Findings
โ€ข
Share results with your group
โ€ข
Compare โ€” did others find the same?
โ€ข
Agree on 3 key insights
โ€ข
Prepare a 2-minute class presentation
โ€ข
Write your insight statements
โฑ๏ธ Total Time: 25 Minutes | Steps 1-2: Individual (15 min) | Step 3: Group (10 min)
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๐Ÿ“ ACTIVITY WORKSHEET โ€” Record Your Findings
Data Analysis & Interpretation | Market Research Module
My Survey Data
Question Most Popular Answer % Least Popular %
Question 1: 
%
%
Question 2: 
%
%
Question 3: 
%
%
My Statistics
Mean Rating:  
Median:  
Mode:  
Most common preference:  
My Key Findings
Finding 1:  
Finding 2:  
Finding 3:  
My Business Insight Statement
"Based on my data, I found that  , which means  , therefore I recommend  ."
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LESSON SUMMARY

What We Learned Today

โœ…
How to organize research data into tables
โœ…
How to calculate mean, median, mode & percentages
โœ…
How to read and interpret survey results
โœ…
How to identify customer preferences and trends
โœ…
How to write clear business insight statements
"Data is only powerful when you understand what it is telling you."

Key Terms to Remember

๐Ÿ“Š Descriptive Statistics
๐Ÿ“‹ Survey Interpretation
๐Ÿ” Customer Preferences
๐Ÿ“ˆ Market Trends
๐Ÿ’ก Business Insight
๐ŸŽ“ Next Lesson: Presenting Your Market Research Findings
Market Research Module | Data Analysis and Interpretation | Thank You!
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Market Research: Data Analysis and Interpretation Guide

Learn how to organize research data, calculate descriptive statistics, interpret survey results, and translate data into actionable business insights.

MARKET RESEARCH MODULE

Data Analysis and Interpretation

Making Sense of What Your Customers Are Telling You

Lesson 5 | Understanding Your Data

Prepared for Student Learning | April 2026

LESSON OVERVIEW

What We'll Cover Today

By the end of this lesson, you will be able to analyze and interpret research data confidently.

Duration: 90 Minutes

๐Ÿ“ Organizing Research Data

๐Ÿ“Š Basic Descriptive Statistics

๐Ÿ“‹ Interpreting Survey Results

๐Ÿ” Identifying Customer Preferences & Trends

๐Ÿ’ก Translating Data into Business Insights

Lesson Objectives & Topics

LEARNING OBJECTIVES

Data Analysis and Interpretation

Organize collected research data systematically

Calculate and interpret basic descriptive statistics

Read and interpret survey results accurately

Identify patterns in customer preferences and trends

Convert data findings into actionable business insights

Market Research Module | Data Analysis and Interpretation

TOPIC 1

Organizing Research Data

Before you can analyze data, you need to structure it properly.

Getting Your Data Ready for Analysis

TOPIC 1 โ€” ORGANIZING DATA

What is Research Data?

<b>Data</b> = Information collected from surveys, interviews, observations

Can be <b>NUMBERS</b> (quantitative) or <b>WORDS</b> (qualitative)

Examples: survey scores, customer ratings, written feedback

Raw data is messy โ€” it needs to be organized first!

Quantitative Data: Numbers & Statistics

Qualitative Data: Opinions & Descriptions

TOPIC 1 โ€” ORGANIZING RESEARCH DATA

How to Organize Your Data

Step 1

Collect All Responses

Gather all surveys, forms, and notes in one place

Step 2

Create a Data Table

Enter responses into rows and columns (use Excel or paper)

Step 3

Label Your Columns

Name each column: Question 1, Age, Gender, Rating, etc.

Step 4

Check for Errors

Look for missing answers or unusual entries

Respondent No.

Age

Rating (1-5)

Preferred Product

โœ๏ธ CLASSROOM ACTIVITY

Topic 1 โ€” Organizing Research Data

Your Task

Take the 10 survey responses provided by your teacher

Create a simple table with these columns:

Respondent Number

Age Group

Question 1 Answer

Question 2 Answer

Rating (1โ€“5)

Time: 10 minutes

Work in pairs

Sample Table Structure

No.

Age

Q1

Q2

Rating

๐Ÿ’ก Tip: Neat tables make analysis much easier!

TOPIC 2

Basic Descriptive Statistics

Simple numbers that describe your data at a glance.

Understanding the Numbers Behind the Data

Key Descriptive Statistics

TOPIC 2 โ€” BASIC STATISTICS

MEAN (Average)

Add all values รท by number of responses

Ratings: 4, 5, 3, 4, 4 โ†’ Mean = 4.0

MEDIAN (Middle Value)

Arrange values in order โ†’ find the middle one

3, 4, 4, 4, 5 โ†’ Median = 4

MODE (Most Common)

The value that appears most often

4 appears 3 times โ†’ Mode = 4

PERCENTAGE

(Count รท Total) ร— 100

30 out of 50 prefer Product A = 60%

TOPIC 2

BASIC STATISTICS

Calculating Percentages

WORKED EXAMPLE

Scenario: 50 customers were surveyed. 35 prefer Product A.

Step 1: Identify the part: 35

Step 2: Identify the total: 50

Step 3: Apply formula: (35 รท 50) ร— 100

Step 4: Answer: 70% prefer Product A โœ…

Try These! ๐Ÿ–Š๏ธ

20 out of 40 prefer online shopping. What %?

15 out of 60 rated the product 5 stars. What %?

8 out of 25 would not recommend. What %?

Formula: (Part รท Total) ร— 100 = Percentage

โœ๏ธ ACTIVITY โ€” BASIC STATISTICS PRACTICE

Topic 2 | Work individually, then check with a partner

Survey Data: Customer Ratings

Your Tasks ๐ŸŽฏ

1๏ธโƒฃ Calculate the MEAN rating

2๏ธโƒฃ Find the MEDIAN rating

3๏ธโƒฃ Identify the MODE

4๏ธโƒฃ What % gave a rating of 4 or above?

5๏ธโƒฃ What % gave a rating of 3 or below?

โฑ๏ธ Time: 10 Minutes | Then share your answers with the class!

TOPIC 3

Interpreting Survey Results

What are your customers really saying?

Reading Between the Lines of Your Data

TOPIC 3 โ€” INTERPRETING SURVEY RESULTS

How to Read Survey Results

Look at the Numbers

Spot the Patterns

Ask 'So What?'

๐ŸŽฏ Key Rule: Always go beyond the numbers โ€” explain WHAT they mean for the business!

WORKED EXAMPLE: Reading Survey Results

TOPIC 3

Survey Question: How satisfied are you with our product?

80% are satisfied or very satisfied โ€” POSITIVE result!

8% are dissatisfied โ€” needs investigation

This suggests the product is well-received overall

โœ๏ธ ACTIVITY โ€” INTERPRET SURVEY RESULTS

Topic 3 | Individual then Group Discussion

Q: Which product feature is most important to you?

Feature

Responses

%

Price

18

36%

Quality

24

48%

Design

5

10%

Brand Name

3

6%

๐Ÿ† Which feature was MOST preferred?

Why do you think that is?

๐Ÿ“‰ Which feature was LEAST preferred?

What does this tell us?

๐Ÿ’ก Business Focus

What should the business focus on based on this data?

๐Ÿค” Surprising Results

Are you surprised by any result? Why or why not?

โฑ๏ธ Time: 8 Minutes | Be ready to share your interpretation with the class!

TOPIC 4

Identifying Customer <br/>Preferences & Trends

Discovering what your customers want โ€” and where things are heading.

Following Your Customers' Signals

TOPIC 4 โ€” PREFERENCES & TRENDS

What Are Customer Preferences?

Customer Preferences = The specific products, features, prices, or experiences that customers choose over alternatives.

What products do they prefer?

What price range suits them?

What designs/styles do they like?

Where do they prefer to buy?

What quality level do they expect?

How do they prefer to communicate?

Identifying these helps businesses tailor their offerings to meet real customer needs.

WHY IT MATTERS

Better Products

Design what customers actually want

Higher Sales

Sell what people are willing to buy

Customer Loyalty

Build long-term relationships

PREFERENCES & TRENDS MODULE

TOPIC 4 โ€” IDENTIFYING PREFERENCES & TRENDS

Spotting Trends in Your Data

What is a Trend?

A trend is a pattern or direction that appears consistently across multiple responses.

๐Ÿ“ˆ Rising Trend

More customers prefer something over time

๐Ÿ“‰ Declining Trend

Fewer customers prefer something over time

๐Ÿ”„ Consistent Trend

Same preference holds steady across groups

โšก Emerging Trend

A new preference just starting to appear

๐Ÿ” How to Spot a Trend

Compare responses across different groups (age, gender)

Look for repeated answers to the same question

Notice if certain options always rank high/low

Compare with previous research if available

๐Ÿ’ก Example: If 70% of customers under 30 prefer online shopping, that's a trend worth noting!

โœ๏ธ ACTIVITY โ€” SPOT THE TREND

Topic 4 | Small Group Work (3-4 students)

The Data

Survey: Preferred Shopping Method by Age Group

Group Discussion Questions

๐Ÿ—ฃ๏ธ Discuss with Your Group:

What trend do you notice about younger customers?

What trend do you notice about older customers?

What does this mean for a business selling products?

If you were the business owner, what would you do differently for each age group?

Can you think of a real business that has already noticed this trend?

โฑ๏ธ 10 Minutes Discussion | Then present your findings to the class!

TOPIC 5

Translating Data into<br>Business Insights

Turning numbers into smart decisions.

From Raw Numbers to Powerful Decisions

TOPIC 5

From Data to Business Insights

๐Ÿ”ข DATA COLLECTION

Gather your survey responses

๐Ÿ“Š DATA ORGANIZATION

Sort into tables, label columns

๐Ÿ“ DATA ANALYSIS

Calculate percentages, mean, mode

๐Ÿ” INTERPRETATION

Identify patterns and trends

๐Ÿ’ก BUSINESS INSIGHT

Make recommendations & decisions

REAL EXAMPLE

<span style="color: #0D1B4B; font-weight: 800;">Data:</span> 65% of customers prefer eco-friendly packaging<br><br><span style="color: #E53935; font-weight: 800; font-size: 34px;">&rarr;</span> <span style="color: #0D1B4B; font-weight: 800;">Insight:</span> Switch to sustainable packaging to attract more buyers and build brand loyalty.

Data without interpretation is just numbers โ€” Insights drive action!

Writing a Business Insight Statement

TOPIC 5

THE INSIGHT FORMULA:

[Finding] + [What it means] + [Recommended Action]

72% of customers prefer mobile payments

Customers value convenience and speed

Introduce a mobile payment option in-store

Only 15% of respondents were satisfied with delivery time

Delivery speed is a major pain point

Partner with a faster logistics provider

80% of under-25s discovered the brand on social media

Social media is the most effective channel for young customers

Increase investment in social media marketing

YOUR TURN: Write an insight statement using data from your own survey!

Business Strategy & Analysis

๐ŸŽฏ PRACTICAL ACTIVITY

Analyzing YOUR Survey Responses

Group Work | Full Class Activity

๐Ÿ”ข

Calculate Percentages

Take your collected surveys

Count responses for each question

Calculate % for each answer option

Use formula: (Count รท Total) ร— 100

Record results in your table

๐Ÿ”

Identify Key Preferences

Which answer was most chosen?

Which was least chosen?

Are there differences by age/gender?

What do customers value most?

Note the top 3 findings

๐Ÿ—ฃ๏ธ

Discuss Findings

Share results with your group

Compare โ€” did others find the same?

Agree on 3 key insights

Prepare a 2-minute class presentation

Write your insight statements

โฑ๏ธ Total Time: 25 Minutes | Steps 1-2: Individual (15 min) | Step 3: Group (10 min)

๐Ÿ“ ACTIVITY WORKSHEET โ€” Record Your Findings

Data Analysis & Interpretation | Market Research Module

My Survey Data

My Statistics

My Key Findings

My Business Insight Statement

LESSON SUMMARY

What We Learned Today

How to organize research data into tables

How to calculate mean, median, mode & percentages

How to read and interpret survey results

How to identify customer preferences and trends

How to write clear business insight statements

Data is only powerful when you understand what it is telling you.

Key Terms to Remember

๐Ÿ“Š Descriptive Statistics

๐Ÿ“‹ Survey Interpretation

๐Ÿ” Customer Preferences

๐Ÿ“ˆ Market Trends

๐Ÿ’ก Business Insight

๐ŸŽ“ Next Lesson: Presenting Your Market Research Findings

Market Research Module | Data Analysis and Interpretation | Thank You!

  • market-research
  • data-analysis
  • descriptive-statistics
  • business-insights
  • survey-results
  • customer-trends
  • data-organization