Begin by logging into your SurveySparrow account. Navigate to the survey whose data you wish to export. Use the export feature to download the survey data in a CSV format. This option is typically found under the "Results" or "Responses" section, where you can generate a CSV file containing all survey responses.

Once downloaded, open the CSV file using a spreadsheet application like Microsoft Excel or Google Sheets. Clean the data by ensuring that all necessary fields are properly labeled and formatted. Remove any unnecessary columns or rows, and make sure all data points are consistent for easier transfer into Firestore.

If you haven't already, create a Google Cloud Platform account at https://cloud.google.com/. Once logged in, create a new project where you will set up Firestore. Ensure that billing is enabled for your GCP account, as Firestore requires an active billing account.

Navigate to the Firebase Console at https://console.firebase.google.com/ and link it to your GCP project. Activate Firestore by selecting "Firestore Database" from the left-hand menu and then clicking on "Create Database." Choose either "Start in Test Mode" for development or "Start in Production Mode" for live applications.

Define the structure of your Firestore database. Plan out the collections (similar to tables) and documents (similar to rows) based on your CSV data. Within the Firestore console, create a collection that will store your survey data. Each CSV row will typically map to a document within this collection.

Write a script to automate the transfer of CSV data to Firestore. Use a programming language like Python or Node.js with their respective Firestore SDKs. The script should read the CSV file, parse each row, and use Firestore API calls to create a document in the specified collection. Example using Python:
```python
import csv
from google.cloud import firestore

# Initialize Firestore client
db = firestore.Client()

# Open CSV file
with open('path_to_your_file.csv', mode='r') as file:
csv_reader = csv.DictReader(file)
for row in csv_reader:
# Add data to Firestore
doc_ref = db.collection('YourCollectionName').add(row)
```

After the script runs, check the Firestore console to ensure all data has been transferred correctly. Verify that each document contains the necessary fields and data from your CSV. Manually spot-check a few entries against your CSV to ensure data accuracy and completeness.

By following these steps, you can efficiently move data from SurveySparrow to Google Firestore without the need for third-party connectors or integrations.