GrabPreeti KarkeraProblem & solution
How we automated FAQ responses at Grab
Summary
Internal engineering on-call engineers at Grab spent substantial working hours handling repetitive questions in Slack channels, such as how-to inquiries and access permission requests. To resolve this without building an in-house tool, the team conducted an anonymized vendor comparison and selected OneBar through an employee voting process and a phased proof-of-concept. Initial rollouts were restricted by contract to 20 channels, leading the team to prioritize deployment based on Slack message volume and member counts. Populating the knowledge base required roughly a quarter of consistent updates alongside tech talks, while a targeted crowdsourcing campaign among new onboarders expanded the glossary and grew usage to approximately 3,000 users.
Context
On-call engineers at Grab spent significant time in Slack channels answering repetitive queries that were already documented, hindering productivity and operational work.
Approach / What changed
Evaluated vendors via blind employee voting, conducted a three-phase proof-of-concept with OneBar, prioritized 20 high-traffic Slack channels using analytics, and crowdsourced knowledge base entries and acronym glossaries through onboarder campaigns.
Takeaways
Anonymizing vendor names and highlighting core feature differences prevented user bias toward familiar brands during the selection process.
A 20-channel contract constraint was addressed by using Slack analytics to prioritize channels with the highest monthly message volume and member counts.
Achieving accurate automated responses required about one quarter of consistent knowledge base feeding supported by targeted onboarding campaigns.
Source and freshness
- Source
- engineering.grab.com
- Published
- Added to Yomu
- Last updated
Summaries are generated from the original by a language model. Check the original before relying on it.
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