CW

chris w.

12/4/2025

"Insightful Recruitment Tool with Room for AI Improvement"

4/5

What do you like best about Sapia.ai?

I find Sapia.ai incredibly helpful in the recruitment process, especially in identifying risks and providing valuable insights into candidates. The scoring system and the questions Sapia asks are outstanding, offering detailed insights into candidates' language skills and accountability. I appreciate the personal snapshot feature, which gives the recruitment team a clear idea of whether a candidate is suitable for a role. Additionally, the initial setup of Sapia.ai was really easy, which made the onboarding process smooth for our team. Review collected by and hosted on G2.com.

What do you dislike about Sapia.ai?

Sometimes the scoring from Sapia.ai does not align with the actual candidate qualities, which has been observed in several cases. There is also an issue with AI detection; candidates just out of higher education have their scores flagged as AI detected because the system misinterprets their learned writing style. Review collected by and hosted on G2.com.

What problems is Sapia.ai solving and how is that benefiting you?

Sapia.ai aids our recruitment by identifying risks and offering insights into candidate language, accountability, and fit for roles through comprehensive scoring and questioning. It simplifies decision-making in the hiring process. Review collected by and hosted on G2.com.

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Response from Chloe Buswell of Sapia.ai

[Editedit](https://www.g2.com/survey_responses/sapia-ai-review-12044851/official_response/edit)

Thank you so much for this. It's wonderful to hear how much value you're getting from the risk identification, the scoring, and the personal snapshot feature. That's exactly what we want to see: giving recruitment teams the insights they need to make confident decisions quickly.

The points you've raised about scoring alignment and AI detection for recent graduates are really helpful. We know that candidates fresh out of education can have a more formal writing style, and that shouldn't work against them. Your feedback helps our People Science team understand where we can refine detection and make sure we're not unfairly flagging genuine responses.

If you come across specific examples where scoring doesn't feel right for a candidate, please do share them with your Customer Success contact. Real examples are gold for us when it comes to improving model accuracy for your campaigns.

Validated ReviewerIncentivizedSource: Seller invite

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