Optimising query performance

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Coorabell Logistics · Optimising query performance

Customer reports that query performance is degrading as more users run queries. Bethan provides best practices for optimization including date filtering, saved searches and indexing.

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As at Fri 9 Oct 2026

Customer reports that query performance is degrading as more users run queries. Bethan provides best practices for optimization including date filtering, saved searches and indexing.

Problem: Coorabell is seeing slower searches as query volume grows with more users and wants to optimise on their side. Handling: Bethan responded with three concrete practices: limit date ranges in filters, use saved searches for common queries, and consider indexing high-traffic fields. She offered a walk-through call. Watch: Growing query volume signals healthy adoption, but the customer's concern about degradation suggests they may be approaching performance headroom limits.

AI · claude-haiku-4-5-20251001 · as at Fri 9 Oct 2026

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Updated 9 Oct 26

Prioritynormal

Statusclosed

Categoryperformance

Channelweb

First response (min)216

CSAT4

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created · Lachlan Nguyen 22 Sep 2026 14:33
We've got more users running queries than before and some searches are taking longer. What can we do to improve performance on our side?
Public reply · Lachlan Nguyen 22 Sep 2026 14:34
We want to make sure the system stays responsive as we scale. Are there best practices we should follow?
Public reply · Bethan Lister 22 Sep 2026 18:09
Hi Lachlan, good thinking. With increased query volume, a few optimisations help: limit the date range in filters, use saved searches for common queries, and consider indexing high-traffic fields. I can walk you through these if you'd like. Thanks, Bethan
Status change · Bethan Lister 28 Sep 2026 17:33
Status change · 2 Oct 2026 23:59

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