Optimizing PostgreSQL Query with DISTINCT ON, Filtering, and Ordering

I'm working on optimizing a query for a PostgreSQL database used in an educational platform. The query retrieves distinct question_id values along with their is_seen status from the question_interaction table based on specific user, customer_id, student_id, and tag criteria. Here's the query:

SELECT DISTINCT ON (question_id) question_id, is_seen
FROM question_interaction
WHERE user_id = 'USR234342'
  AND customer_id = '39874513-8bb1-461e-a73f-9e73fa31870d'
  AND student_id = '8179483214'
  AND tags @> ARRAY ['history']::TEXT[]
  AND is_seen IS NOT NULL
ORDER BY question_id, timestamp DESC;

Here is the selectivity order of the columns:

question_id > student_id > user_id > customer_id

*Can someone provide guidance on how to create an effective index for this query?* Specifically, I'm looking for recommendations on: - The choice of columns for the index - The order of columns in the index - Any additional conditions to consider