What does it mean for a sorting algorithm to be stable, and why does it matter?
PICTURE THIS: GIT FLOW
Simple meaning
Stable sorts keep equal keys in their original relative order.
WHY — Sorting instead of guessing?
Why interviewers care about Sorting:
who only read docs from people who shipped.
and tied to DSA work.
Name the idea, why it exists, then one short example.
End with when you use it and one common pitfall.
STEPS — What happens step by step?
Before you speak the answer, walk the interviewer through these steps:
- 1Stable sorts keep equal
keys in their original relative order.
- 2That matters when you
sort by one field and then another, like sorting employees by name then by department.
- 3Merge sort and insertion
sort are stable
- 4naive heapsort and many
in-place quicksorts are not.
- 5Common mistake
What juniors usually get wrong.
- 6Close
When you pick this over the alternative.
EXAMPLE — See it in action
Here's a short line you can speak, broken into clear beats:
Note: Adapt this scaffold to your own project — keep it under 60–90 seconds.
Key takeaway
Stable sorts keep equal keys in their original relative order. That matters when you sort by one field and then another, like sorting employees by name then by department.