AI Talent Rediscovery

talent rediscovery enables you to use ai to identify strong candidates already in your ashby database for open roles ai talent rediscovery is available on the plus and enterprise plans only foundations plus enterprise ❌ ✅ ✅ prerequisites ai talent rediscovery uses ai credits one ai credit is used per returned candidate with a cap of 250 credits used for any single search ai credits are not used if the search does not return candidates for more on ai credits, check out ai credits docid 7q8kj16ibgcp9zsjx86xm want to buy more credits? check out how do i purchase additional email lookups, ai credits or texting credits in app? docid\ edqz9zv9vdcljyzsxjdhe step 1 enabling talent rediscovery if you have auto enable new features toggled on for your organization, you can skip the steps below to enable talent rediscovery navigate to admin > organization setup > opt in features if you have yet to opt in to use ai features, you can enable them by toggling on enable ai features you will be prompted to read ashby's ai terms and agree to them prior to being able to enable any ai features in ashby toggle on the talent rediscovery opt in feature if you see a not ready message when enabling talent rediscovery within the tile, click start candidate scan to scan your candidate pool the scan can take up to 24 hours talent rediscovery with a not ready status a progress bar will be displayed during the scan for tracking once completed, the status within the talent rediscovery tile will show as ready talent rediscovery with the status ready click configure to select a default sequence template this sequence template will be automatically used when sending a sequence as part of reviewing candidates in the talent rediscovery review ui step 2 running a talent rediscovery search there are two routes you can take to run a search using the talent rediscovery tool either by using existing criteria set up within a job, or setting up a totally new query to run the talent rediscovery tool using criteria configured as part of the ai assisted application review docid 0msgwzhfexbtwoagfyrar tool navigate to jobs > jobs and click on the role in question click ai features , then edit in the following popover, toggle on enable rediscovery, then click save to start a completely new search using the talent rediscovery tool navigate to sourcing > talent rediscovery click + new search add a title to your query you can also link a job to your query so you can directly consider candidates meeting your set criteria for the role finally, determine whether the query is confidential or not a confidential query will only be visible to the users who are given access to it click create search to confirm and create your query you will then be taken to the settings section of your newly created search step 3 adding ai job criteria to your sourcing query if you'd like to make amendments to your sourcing query, you can do so within the settings tab of your search in sourcing > talent rediscovery the settings tab of the talent rediscovery page for a search name the title of your search description add an internal description for your search for reference confidential set whether or not the query is confidential job add, remove or switch the job linked to this search underneath your settings, the ai job criteria section will list any criteria for your talent rediscovery search to add criteria, click + edit job criteria click add criteria , then either select add previously used to reuse any you have created previously, or click add custom to create a new criterion adding criteria to a new talent rediscovery search for more on configuring ai assisted application review criteria, check out ai assisted application review docid 0msgwzhfexbtwoagfyrar once you've created your criteria, click validate , then save and evaluate all active candidates to run your criteria against existing candidates in ashby adding new resume criteria to a talent rediscovery search step 4 reviewing your sourcing query results once the evaluation of your configured criteria is complete, you'll be able to review results in the candidate search results section of your sourcing query click on a list option to view the candidates that have been identified each list has the following criteria warm lead these are candidates who expressed interest (for example, via a sourcing form or hiring event) but never interviewed silver medallist candidates who were archived after active interview stage with only positive feedback and match 50%+ of your set criteria high fit candidates candidates who match 75%+ of your set criteria who reached an active stage with no poor interview feedback re visit overlooked candidates candidates who match 75%+ of your set criteria but only reached pre interview screen stages promising leads to re engage candidates who match 50%+ of your criteria who progressed past pre interview stages and remained interested internal transfers candidates who were hired for a different role and the ai judges them suitable for this role they also match 50%+ of your set criteria the review later and dismissed lists are curated by you and are based on the action taken when reviewing suggested candidates we recommend reviewing your buckets from the top (warm lead first, silver medallist second, etc) reviewing candidates when viewing a list of identified candidates, you will be able to see the following information by default name company/position the candidate's employment history, listing their most recent company and role first evaluation lists the ai job criteria set in your sourcing query and noting whether or not each was met feedback feedback left for the candidate latest touchpoint the last job and interview stage the candidate was in signals the general criteria used by the ai talent rediscovery tool alongside the ai job criteria positive signals will be displayed here the signals used are as follows positive signals (listed in the signals section of the query results) warm lead, silver medalist, made it to offer stage, bad timing, rejected by candidate, only good feedback, hired for different role negative signals (causing candidates to be filtered out by default) recently rejected (last 6 months), poor fit, poor interview performance, candidate ghosted signals combine application history, interview ratings, email thread analysis, and ai classification visibility the option to hide or show the candidate on the list a list of candidates within a talent rediscovery group to review the candidate list, click review x candidates you will then be able to view the criteria evaluation, the candidate's resume and application details and their feedback the review page for a candidate pulled into a group using a talent rediscovery search in the criteria evaluation section, click on a criterion to view the information pulled from the candidate's resume or application to justify the classification if a classification doesn't look right, click the three dots to the right of meets x of x and select flag evaluation to leave feedback the option to flag a criteria evaluation once you've reviewed the candidate, you can take the following actions consider for job consider the candidate for the linked job you can click the pencil icon to adjust the job and initial interview stage the candidate is added to add to project click the pencil icon to set the project, then click add to add the candidate to a project send sequence enroll the candidate in a sequence the default sequence used is the one configured as part of the talent rediscovery enablement more on this above docid\ d gjg o jkbqagm ksmze when creating a sequence, you can add an aireengagementoutreach substitution token to an email sequence stage when sending a rediscovery sequence, ai automatically considers the candidate's background, resume, previous applications, interview history, and past communications to generate a personalized, high converting outreach message prior to sending the sequence, you will need to manually accept or reject the generated content mark not a good fit move the candidate to the dismissed list add to review later move the candidate to the review later list you can also click ai assistant tab to ask the ai candidate assistant docid\ gfxouwywswcwhej65od8s any questions as needed