Batch processing similar jobs for speed
Grouping similar jobs together cuts the hidden cost of context switching and gets routine work done faster.
There is a quiet inefficiency in working through a varied to-do list one item at a time. A BAS, then an email, then a payroll run, then a different client's query. Each switch carries a cost: reopening the right file, recalling the context, shifting mental gears. Batching is the practice of grouping similar work so you pay that cost once.
Why batching works
When you do five reconciliations in a row, you stay in the same mode. The software is open, the method is fresh, your attention is tuned to one kind of problem. By the third, you are faster than you were on the first. Spread those same five across a fragmented day and each one feels like starting over.
For routine, repeatable practice work, the gains are real and immediate.
What batches well
Some work is an obvious candidate:
- The same job type across multiple clients — BAS runs, super processing, year-end checklists
- Reviews and approvals, done in a single sitting rather than one at a time
- Client communications of the same kind, such as document requests
- Data entry and coding within one tool
Setting up for batching
Batching is easiest when your work is organised so similar jobs are easy to gather. A board filtered by job type, or a recurring template that creates the same task across many clients at once, turns batching from a manual sorting exercise into the default. Finye's templates and recurring jobs do exactly this — the same checklist appears for every client, ready to be worked through in one pass.
Where not to batch
Batching is not universal. Time-sensitive and client-facing work should not wait for a batch to fill up. An urgent query or a breaching deadline needs handling now. Reserve batching for routine, non-urgent work where the efficiency gain outweighs any delay.
It also has limits within a single sitting. Concentration fades, and quality drops on the tenth identical task. Keep batches to a sensible size and take breaks between them.
The practical takeaway: group routine, repeatable jobs by type and work them in dedicated blocks, but keep urgent and client-facing work out of the batch so nothing important waits in a queue.