Begin by logging into your Qualaroo account. Navigate to the survey or data set you wish to export. Use the built-in export functionality to download the data in a CSV or JSON format, as these formats are typically well-suited for data manipulation and loading into databases like Amazon Redshift.

Open the exported file on your local machine. Review the data to ensure it is clean and formatted correctly. Check for and resolve any inconsistencies, such as missing values or incorrect data types, that could hinder the loading process. If necessary, use data manipulation tools or scripts to clean the data.

Log into your AWS Management Console and navigate to Amazon S3. Create a new bucket where you will temporarily store the data before importing it into Redshift. Set appropriate permissions on the bucket to ensure it can be accessed securely during the data transfer process.

Upload the prepared CSV or JSON file to the S3 bucket you created in the previous step. You can use the AWS Management Console for a simple drag-and-drop upload or use the AWS CLI (Command Line Interface) for a more automated approach. Ensure the file is uploaded correctly and note the S3 path for future reference.

If you haven’t already set up an Amazon Redshift cluster, create one via the AWS Management Console. Configure the necessary security groups and IAM roles to allow access from your S3 bucket. Make sure you have the appropriate permissions set up to load data from S3 to your Redshift cluster.

Using SQL Workbench/J or another SQL client, connect to your Redshift cluster. Write a SQL statement to create a table that matches the structure of the data you exported from Qualaroo. Define the appropriate data types for each column based on the data structure.

Execute the `COPY` command in your SQL client to load data from the S3 bucket into your Redshift table. The basic syntax will look like this:
```sql
COPY your_table_name
FROM 's3://your-bucket-name/your-file-name'
IAM_ROLE 'your-redshift-role-arn'
FORMAT AS CSV;
```
Ensure that all required parameters are correctly specified and that IAM roles are properly set up to authorize the data transfer. Once the command runs successfully, verify the data in your Redshift table to ensure it has been loaded correctly.

By following these steps, you can efficiently move data from Qualaroo to a Redshift destination without relying on third-party connectors or integrations.