Overview
Anna (AI Recruiter) generates structured interview results that can be reviewed in Fountain and, depending on configuration, shared with other systems.
This article explains common result fields, where to find them, retention considerations, deletion requests, and integration options.
Most of the below settings can be found by going to the AI Interview Management page by doing the following:
Go to Opening's Workflow Editor
Click the AI Interview stage
Click Manage integration
Select the job opening from the list of job's with an AI Interview
Use the three tabs at the top of AI Interview Management: Configuration, Interviews, Insights
Anna Result Data
Anna may generate:
Overall score, on a 1 to 5 scale
Interview status and decision
Interview summary
Promoter reasons and detractor reasons
Qualification-level assessment, rated Yes, Unknown, or No, with a comment for each qualification
Transcript
Recording
Data extraction fields, if configured
Interview integrity flags, if enabled
Where Results Appear
Results appear in three places.
Applicant profile. Expand the AI Interview stage section to view the report, transcript, recording, and score for one candidate.
Interviews tab. In AI Interview Management, a job opening's Interviews tab lists every candidate with their overall score and a column for each configured qualification. Filter by minimum score or decision, or search transcripts and contacts.
Insights tab. Aggregate reporting for a job opening over a selected date range, including completion rate, average interview duration, total interviews conducted, interviews over time, score distribution, and interview decisions by score.
Export Results
Within the AI Interview Management page, the More settings menu includes Export interviews to CSV, which produces a file of interview data for that opening.
In the same menu, but switching to the Interviews tab, individual interview records have a Share action for passing a single result to someone else.
Downloadable formatted reports and PDF exports may vary by account and product availability. If your team needs a specific report format, confirm the supported workflow with Fountain before committing to a process.
Data Extraction Fields
Data extraction fields capture structured information from interviews, such as years of experience, certifications, or availability. Define fields in settings, then add them to a job type so they apply to every job opening using that type.
Anna's overall score is the supported scoring signal. Do not use data extraction fields to build unofficial sub-scores without confirming the compliance implications with Fountain.
Integrations and Programmatic Access
Settings include an Integrations page, plus self-serve Webhooks and API keys for building your own connection to systems such as Workday or another HCM.
Common integration patterns include:
Real-time webhooks
API-based result retrieval
Batch file exchange
Professional services integration work
Supported fields and formats vary by account and implementation. Contact your Fountain representative to scope integration requirements.
Notifications and Slack
Notification settings on a job opening control who is told when an interview is completed.
Email can be sent to all teammates in your organization, to job opening owners, or only to recipients you specify. You can add individual teammates or distribution lists as additional recipients, and set the frequency.
Slack can be enabled to send a notification when interviews are completed, posted to a target channel you select. Each completed interview sends an interview summary and a link to the full transcript.
You can find both of these settings by going to Manage Integration (from the Workflow Editor), selecting the job opening from your list of AI Interviews, and scroll to the bottom of the AI Interview settings.
Treat both as access decisions rather than convenience settings. Anyone in the target Slack channel, and anyone on a distribution list, can read interview content for every candidate in that opening.
Data Retention
Retention may depend on:
Customer contract terms
Account configuration
Legal or regulatory requirements
Data type, such as transcript, recording, score, or application data
Customer-requested retention preferences
Contact Fountain Support or your account team for account-specific retention details. Do not assume a universal default retention period.
Submit a Deletion Request
Deleting Anna interview reports, transcripts, recordings, or video assessments is not currently a standard self-serve admin action.
If a deletion is required, contact Fountain Support with:
Candidate name or ID
Candidate email or phone number
Opening name
Interview date
The specific data to delete
Reason for the request
Any required deadline
Fountain Support will confirm the available deletion process for your account.
Model Training and Subprocessors
Anna is designed so customer and candidate data passed through the system is not retained by model providers for training.
For the latest security, privacy, subprocessor, or AI governance documentation, contact your Fountain representative or visit Fountain's trust resources.