Begin by exporting the data you need from Asana. You can do this by navigating to the respective project or task list in Asana. Click on the three dots in the project header, select "Export/Print," and then choose "CSV" to download the data in a CSV format. This format is widely used and easily handled by DuckDB.

After downloading the CSV file, review it to ensure all necessary data fields are included. Open the CSV file in a spreadsheet program like Excel or Google Sheets to inspect the data. Clean and format the data if necessary, ensuring there are no extra spaces, special characters, or inconsistencies that might cause issues during import.

If you haven't already, install DuckDB. You can do this by downloading it from the official DuckDB website or by using a package manager. For example, if you are using Python, you can install it via pip with the command `pip install duckdb`. DuckDB is a lightweight database that can be used directly from your command line or integrated into your programming environment.

Open your terminal or command prompt and create a new DuckDB database. You can do this by executing the DuckDB command followed by the desired database name. For instance, run `duckdb mydatabase.duckdb` to create a new database named `mydatabase.duckdb`.

Now, you need to import the CSV data into DuckDB. Use the DuckDB SQL shell or your preferred programming interface to execute a SQL command that reads the CSV file. For example, use the following command:
```sql
COPY my_table_name FROM 'path/to/your/data.csv' (AUTO_DETECT TRUE);
```
This command will automatically detect the CSV file's structure and import it into a new table called `my_table_name`.

Once the data is loaded, verify the import by running a simple SQL query in DuckDB to check the data. For example, you can use:
```sql
SELECT * FROM my_table_name LIMIT 10;
```
This will display the first ten rows of the imported data, allowing you to confirm that the data has been correctly imported and structured.

With the data now in DuckDB, you can proceed with any analysis or processing needed. DuckDB supports SQL queries, so you can filter, aggregate, and manipulate your data as required. Utilize DuckDB's capabilities to perform fast analytical queries on your Asana data.

By following these steps, you can manually transfer data from Asana to DuckDB without relying on third-party connectors or integrations.