Quick and Efficient Candidate Reference Checking
(9 ratings)
Starts from $99/Month, also offers free forever plan
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Dossy is a powerful productivity tool created to reduce the time and costs associated with interviewing and hiring potential candidates. This streamlined process accelerates the reference check process and makes it near impossible for people to fabricate references on their ... Read More
Starts from $99, also offers free forever plan
Yearly plans
Show all features
Free
2 free tokens upon registration
Pay as you go - $29 per token
Unlimited seats
Unlimited questionnaires
Starter
$99
/Month
10 tokens per month (save up to $191)
Additional tokens cost $29
Includes features of All Plan
Growth
$149
/Month
20 tokens per month (save up to $431)
Additional tokens cost $29
Includes features of All Plan
Corporate
$299
/Month
50 tokens per month (save up to $1151)
Additional tokens cost $29
Includes features of All Plan
Screenshot of the Dossy Pricing Page (Click on the image to visit Dossy 's Pricing page)
Disclaimer: Pricing information for Dossy is provided by the software vendor or sourced from publicly accessible materials. Final cost negotiations and purchasing must be handled directly with the seller. For the latest information on pricing, visit website. Pricing information was last updated on .
Contact
1300 236 779
Customer Service
Business Hours
Online
Location
Victoria, Australia
Dossy is a powerful productivity tool created to reduce the time and costs associated with interviewing and hiring potential candidates. This streamlined process accelerates the reference check process and makes it near impossible for people to fabricate references on their resume. With cutting-edge verification tech, Dossy allows users to get 98% of their reference check reports within 24-32 hours, making it perfect for both small startups and larger corporations. Whether you need to add 10 coworkers or hundreds, Dossy
Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].
Researched by Rajat Gupta