SayPro Monthly Research Data Collection Template
Format: Excel / Google Sheets
Purpose:
To standardize and streamline the monthly collection of competitor performance data across defined market segments, ensuring consistency, accuracy, and ease of analysis.
Template Structure and Key Components
Section | Description | Sample Fields/Columns |
---|---|---|
General Information | Capture metadata about the data collection instance | – Research Month & Year |
– Segment Name | ||
– Analyst Name | ||
– Data Collection Date | ||
Competitor Details | Basic identification info for each competitor | – Competitor Name |
– Competitor ID/Code | ||
– Market Segment | ||
Performance Metrics | Key quantitative and qualitative metrics for benchmarking | – Sales Volume |
– Market Share (%) | ||
– Revenue | ||
– Growth Rate (%) | ||
– Customer Satisfaction Score | ||
– Product Availability | ||
– Pricing Index | ||
– Marketing Spend | ||
– Digital Presence (e.g., Social Media Score) | ||
Data Source & Validation | Information on data provenance and quality checks | – Source Type (e.g., Public Report, Survey) |
– Data Verification Status (e.g., Validated, Pending) | ||
– Notes / Anomalies | ||
Additional Notes | For any comments, clarifications, or observations | – Open text field for remarks |
Features to Include in the Template
- Drop-down menus for standardized entries (e.g., Market Segment, Source Type)
- Conditional formatting to highlight missing or outlier data
- Automated timestamp fields (if supported) for tracking updates
- Protected cells for formula-driven calculations or fixed reference data
- Instructions tab with guidelines on how to fill out the template accurately
Optional Add-ons
- Integration with Google Sheets API or Excel macros for automated data import/export
- Dashboard tab summarizing key metrics visually
- Data validation rules to prevent incorrect entries
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