Not every workflow should do the same thing every time
Many automations need to make decisions based on the input they receive. Examples:- continue only if a record meets certain criteria
- route different requests to different destinations
- stop early when required data is missing
- wait before taking the next action
Use branching when the workflow outcome depends on the input
Branching is a good fit when one workflow needs multiple possible paths. Use it when the workflow should ask:- is this important enough to continue
- where should this be routed
- should it be handled one way or another
Keep condition logic easy to explain
A good branch should make sense in one sentence. For example:- if the lead is high intent, notify sales
- if the message is low priority, store it without alerting anyone
- if required data is missing, stop the workflow
Use wait steps intentionally
Wait steps are helpful when:- a downstream system needs time before the next action
- the workflow should delay a follow-up
- the process should pause between stages
End early when continuing would waste work
Sometimes the best result is to stop the workflow. That is useful when:- the input is incomplete
- the record does not meet the workflow criteria
- the result would not be useful enough to keep processing
Design for predictable outcomes
When adding conditions, optimize first for:- readability
- predictable behavior
- easy testing
Test each branch deliberately
Do not assume the branch logic is correct just because one path worked. Where possible, test:- the true path
- the false path
- the early exit behavior
- any wait or delayed behavior that matters to the workflow