Copied an email thread into Notepad.

[bappy7]

Steps Taken (May 1st - May 10th):

Standardized Collection (Week 1, Day 1-2):
Action: Sarah created a simple Google Form named "Crafty Critters Feedback." Key fields included: Order ID (optional), Product Name (dropdown), Feedback Type (dropdown: Quality, Size, Shipping, Idea, Other), Rating (1-5 stars), Detailed Comments (long text).
"LIST TO DATA" Principle: Standardized Input. Every piece of feedback now came in a consistent format brother cell phone list automatically populating a Google Sheet.
Historical Data Migration (Week 1, Day 3-5):
Action: Sarah took a batch of past feedback (from emails and DMs). She quickly "cleaned" these unstructured text "lists" in a plain text editor:

Manually identified key data points (e.g., "Product: Leash," "Comment: Color faded," "Rating: 3/5").
Used "Find and Replace" to format each entry into a consistent delimited string (e.g., Leash|Color faded|3).
Pasted this into a new column in her "Feedback" Google Sheet.
Used Google Sheets' Data > Split text to columns feature with | as the delimiter to populate new columns.
"LIST TO DATA" Principle: Delimited Import. Transforming existing messy lists into structured rows and columns.
Basic Analysis (Week 2, Day 1-2):
Action: Sarah used COUNTIF and AVERAGE functions in Google Sheets to quickly count feedback types, average ratings for specific products, and identify frequently mentioned keywords in the Detailed Comments column.
"LIST TO DATA" Principle: Actionable Data. The structured data immediately allowed for insights.
Outcome: Within 10 days, Sarah could see that "sizing issues" were a common theme for dog collars, and a specific "eco-friendly packaging" idea had been suggested multiple times. This data directly informed product improvements and future packaging choices.
Project 2: New Product Ideas - From Brainstorm to Prioritized Pipeline.