For each recommendation that you provided in Week 3, explain whether you would choose quantitative data, qualitative data, or a mix of both to inform your decisions you would need to provide sufficient evidence to back up each of the recommendations. Explain why and how the data connects to your recommendations.

For each set of data that you would include in your recommendations, describe how you would represent the data visually. (Note: You do not need to visually represent the data. You only need to describe how you would do so.)

Note of specific types of data (e.g., financial, anecdotal, etc.) you would want to include in a presentation to Muchendu to accompany the memo you wrote. Use the visual of a chart or graph to show the increase of costs over time. Assigment must be 2-3 pages with minimum 3 peer reviewed sources.

Struggling with where to start this assignment? Follow this guide to tackle your assignment easily!

This assignment focuses on linking recommendations to the right type of data (quantitative, qualitative, or mixed), explaining the rationale, and describing how to visually present the data. The guide below walks you through a clear structure for your paper.

📌 Step 1: Review Your Week 3 Recommendations

Revisit the recommendations you provided in Week 3.
Identify the key decision points for which evidence is required.
Consider what types of data would best support or inform each recommendation.

📝 Step 2: Match Recommendations with Data Type

1. Quantitative Data

Numerical data that can be measured and analyzed statistically
Examples:
- Financial costs over time
- Patient or customer satisfaction scores
- Performance metrics or productivity rates
Explain why quantitative data is needed for your recommendation.
Describe how you would visually represent it:
- Line chart for trends over time
- Bar graph to compare groups or periods
- Pie chart to show proportions

2. Qualitative Data

Non-numerical, descriptive data such as opinions, experiences, or case studies
Examples:
- Employee or customer anecdotal feedback
- Observations from interviews or focus groups
Explain why qualitative data is needed: it provides context and insight that numbers alone may not show
Describe visual representation:
- Word clouds for themes
- Table summarizing key insights or quotes
- Thematic map showing patterns or relationships

3. Mixed Methods

Combination of quantitative and qualitative data
Useful when both statistical evidence and contextual insights strengthen your recommendation
Example: financial metrics supported by employee testimonials on cost-saving measures
Describe visual representation:
- Dashboard combining charts and tables
- Infographic showing data trends alongside quotes or summaries

💡 Step 3: Connect Data to Recommendations

For each recommendation:
- Specify the type of data you would collect
- Explain why this data supports the recommendation
- Provide examples of specific metrics or sources
- Highlight how the data informs decision-making

🖼 Step 4: Describe Visual Presentation

Even if you are not creating visuals, clearly describe:
- What chart or graph you would use
- What each axis or segment would represent
- How it would enhance understanding for Muchendu or stakeholders

Example:

Recommendation: Reduce operating costs
Data: Quarterly financial expenses (quantitative)
Visual: Line graph showing increasing costs over the past year with projected savings highlighted

🔍 Step 5: Research & Sources

Include at least 3 peer-reviewed sources to support your discussion on using quantitative, qualitative, or mixed data.
Suggested resources:
- Creswell, J. W., & Creswell, J. D. (2018). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. Sage Publications.
- Saunders, M., Lewis, P., & Thornhill, A. (2019). Research Methods for Business Students. Pearson.
- Journals on data-driven decision-making or management analytics

📝 Step 6: Paper Structure

Title Page – APA format

Introduction

Introduce purpose: linking recommendations to the appropriate data types

Body

Number each Week 3 recommendation
For each recommendation:
- Identify data type (quantitative, qualitative, or mixed)
- Explain rationale and how it informs decision-making
- Describe how data would be visually represented

Conclusion

Summarize the value of matching recommendations to the right type of data
Emphasize the role of visual representation in presenting evidence effectively

References – APA format

✅ Step 7: Checklist Before Submission

All Week 3 recommendations included
Data type identified for each recommendation
Clear rationale provided for each data type
Visual representation described for each dataset
Minimum 3 peer-reviewed sources cited
APA format for title, in-text citations, and references
Paper is 2–3 pages (excluding title and references)

Linking Recommendations to Data: Quantitative, Qualitative, and Visual Insights for Decision-Making