AI-Powered Hiring Dashboard
Welcome back, John. You have 12 candidates waiting for review.
Total Candidates
356
Pending Reviews
28
Scheduled Calls
42
Avg. Match Score
78%
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Open Positions
Senior Frontend Developer
Engineering Department • Remote
Product Manager
Product Department • San Francisco
DevOps Engineer
Infrastructure • Hybrid
Recent Activity
AI Bot completed interview with
Alex Johnson
The AI recommends advancing this candidate to the technical round based on their strong communication skills and technical background.
Today at 10:45 AM
Interview scheduled with
Sarah Miller
Technical interview scheduled for tomorrow at 2:00 PM with the engineering team.
Today at 9:30 AM
New application received for
Senior Frontend Developer
Michael Brown applied via LinkedIn with an AI match score of 92%.
Yesterday at 5:15 PM
Candidate rejected for
Product Manager
David Wilson was rejected due to insufficient experience in SaaS products. AI suggests considering for Junior PM role.
Yesterday at 3:30 PM
Candidate Overview
Review candidate information before initiating screening calls
Alex Johnson
Key Skills
Last Interaction
Initial resume review completed. Strong portfolio of responsive web applications. Previously worked on high-traffic e-commerce platform.
Availability
Sarah Miller
Key Skills
Last Interaction
Resume review completed. Extensive experience with B2B products but limited experience with consumer applications. Strong leadership background.
Availability
Michael Brown
Key Skills
Last Interaction
No previous interactions. New applicant with impressive portfolio of interactive web applications. Strong GitHub presence with 500+ contributions in the past year.
Availability
Emily Chen
Key Skills
Last Interaction
Resume review in progress. Strong background in container orchestration and cloud infrastructure. Completed AWS Certified DevOps Engineer certification.
Availability
Add Notes for Alex Johnson
Call Management
Schedule and manage AI-powered candidate screening calls
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Candidate | Position | Schedule | Status | Match Score | Actions |
|---|---|---|---|---|---|---|
|
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Alex Johnson
alex.johnson@example.com
|
Senior Frontend Developer
|
Today, 2:30 PM
30 min
|
Scheduled |
92%
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|
|
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Sarah Miller
sarah.miller@example.com
|
Product Manager
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Today, 4:00 PM
45 min
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Scheduled |
78%
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|
|
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Michael Brown
michael.brown@example.com
|
Senior Frontend Developer
|
Apr 12, 10:00 AM
30 min
|
In Progress |
95%
|
|
|
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Emily Chen
emily.chen@example.com
|
DevOps Engineer
|
Apr 13, 2:00 PM
30 min
|
Scheduled |
82%
|
|
|
|
David Wilson
david.wilson@example.com
|
Product Manager
|
Apr 12, 11:30 AM
45 min
|
In Progress |
75%
|
|
Currently Active Call
Michael Brown - Senior Frontend Developer
AI Interviewer
Active - 12:45 minutes
Live Transcription
Hello Michael, this is AI Interviewer for TechCorp. Is now still a good time for our scheduled screening call? It should take about 30 minutes.
12:02:15 PM
Yes, this works perfectly for me. I'm ready to proceed with the interview.
12:02:30 PM
Great! Before we start, I'd like to inform you that this call is being recorded for evaluation purposes. Is that okay with you?
12:02:45 PM
Yes, that's fine with me.
12:03:00 PM
Perfect! Let's begin. I see from your resume that you have 8 years of experience as a frontend developer. Could you tell me about your most recent project and the technologies you used?
12:03:15 PM
My most recent project was redesigning the customer dashboard for a large e-commerce platform. We used React with TypeScript for the frontend, along with Redux for state management. I was particularly focused on performance optimization, implementing lazy loading and code splitting to reduce the initial bundle size by 40%...
12:03:45 PM
Key Points Extraction
- React with TypeScript & Redux experience
- Performance optimization skills (40% reduction)
- E-commerce domain experience
Speech Analysis
AI-Generated Questions
Can you describe your approach to optimizing React applications for performance?
AskedHow do you implement state management in large-scale applications? Have you used any alternatives to Redux?
Could you explain your experience with WebSockets and real-time data handling in frontend applications?
What testing strategies do you implement for your frontend code?
Add Custom Question
Schedule AI Screening Call
Post-Call Insights & Decision Support
Sarah Johnson
Senior Frontend Developer
AI-Powered Call Analysis
Key Answer Highlights
-
✓
Demonstrated strong experience with React ecosystem and state management
-
✓
Provided specific examples of performance optimization techniques
-
✓
Showed excellent understanding of frontend architecture principles
-
!
Limited experience with GraphQL implementation
Candidate Sentiment Analysis
"The candidate showed significant enthusiasm about the role and company culture. Speech patterns indicated high confidence when discussing technical topics. Overall positive sentiment throughout the interview."
Potential Red Flags
Some hesitation when discussing team conflicts resolution approaches
Mentioned potential relocation concerns if position requires on-site presence
Decision Support
Suggested Next Steps:
- Schedule technical interview with Senior Engineering Team
- Request portfolio samples for GraphQL projects
Call Transcript & Key Moments
Team Collaboration
John Davis
Hiring ManagerGreat communication skills and solid technical background. I'd like to explore her experience with complex state management more in the next round.
Today at 10:45 AMAlice Reynolds
TA SpecialistShe meets most of our requirements and seems very enthusiastic about the role. The GraphQL knowledge gap isn't critical since we can provide training.
Today at 11:15 AMAI Recommendations
Based on 200+ similar candidatesNext Steps
Based on the candidate's performance, we recommend proceeding to a technical interview focused on practical coding challenges and system design discussions.
Potential Role Fit
This candidate shows strong potential for the Senior Frontend Developer role. Their experience aligns well with 85% of the job requirements.
Time-to-Hire Impact
Moving this candidate quickly through the process could reduce overall time-to-hire by 35% compared to similar roles in your organization.
AI Insight:
Candidates with similar profiles who progressed to the next stage had a 78% success rate in receiving offers. This candidate shows stronger technical skills than 82% of previously interviewed candidates for this position. Consider emphasizing the company's learning and development programs during the next interview to address the GraphQL knowledge gap.
Analytics Dashboard
Total Candidates
287
12% from last month
AI Screened Candidates
156
8% from last month
Successful Hires
42
15% from last month
Candidate Pipeline
Applied
287
AI Screened
156
HM Interview
98
Tech Interview
64
Final Round
48
Hired
42
AI Score Distribution
0-20%
21-40%
41-60%
61-80%
81-100%
Based on AI screening scores of 156 candidates
Updated: Today
Average Time to Fill
18
days
Top Candidate Sources
AI Screening Efficiency
Hiring Forecast & Insights
Department Wise Breakdown
Key Insights
- AI screening reduced hiring time by 42% this quarter
- Candidate satisfaction score improved to 4.8/5 with AI-driven process
- Frontend Developer roles taking 30% longer to fill than average
- Top candidates declining offers primarily cite compensation reasons
Settings
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John Doe
Hiring Manager - Engineering
john.doe@company.com
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Configure how AI generates screening questions.
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Connect your AI Hiring Dashboard with other platforms and tools.
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Today
New application for Senior Frontend Developer
10m agoEmily Johnson has applied with a 87% AI match score. Her profile is ready for review.
AI Screening completed for Michael Chen
45m agoAI screening call completed with promising results. The candidate scored 92% on technical questions.
Sarah Miller mentioned you in a comment
1h ago"@johndoe I think this candidate has great potential for the DevOps role. Can you review their technical assessment?"
Interview scheduled with David Wilson
2h agoTechnical interview scheduled for tomorrow at 2:00 PM. Calendar invitation has been sent.
Yesterday
Action required: Feedback pending
Yesterday, 4:30 PMYour feedback for 3 candidates is pending. Please complete it within 24 hours.
Candidate Jessica Taylor rejected
Yesterday, 2:15 PMThe candidate has been rejected for the Product Designer position. Rejection email has been sent.
AI Insights: Hiring Patterns
Yesterday, 11:30 AMNew AI insights about your hiring patterns and bottlenecks are available in the Analytics dashboard.
This Week
Engineering department reached 80% hiring goal
Monday, 9:00 AMThe Engineering department has reached 80% of its Q3 hiring goals. 4 more positions to fill.
System Update: New AI features
Sunday, 7:15 PMWe've upgraded our AI system with improved candidate matching and sentiment analysis.
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Frequently Asked Questions
Our AI-powered hiring dashboard uses machine learning algorithms to automate the screening and evaluation of candidates. It analyzes resumes, conducts initial screening calls, and provides insights to help hiring managers and talent acquisition teams make better decisions faster.
We take data security very seriously. All candidate data is encrypted both in transit and at rest. We comply with GDPR, CCPA, and other privacy regulations. Access to candidate information is strictly controlled with role-based permissions, and we perform regular security audits.
Yes, the dashboard is highly customizable. You can configure screening questions, adjust AI matching criteria, customize workflow stages, and create company-specific templates. Our Enterprise plan also offers advanced customization options including custom integrations and branding.
Each subscription plan includes a specific number of user seats. Our Starter plan includes 5 users, Professional plan includes 15 users, and Enterprise plans offer unlimited users. Additional user seats can be purchased separately for any plan if needed.
The AI screening call is an automated phone interview conducted by our AI assistant. It calls candidates, asks pre-programmed and AI-generated questions based on the job requirements and candidate's resume, records and transcribes answers, and provides analysis of responses including technical accuracy, communication skills, and confidence levels.
Yes, you can fully customize the screening questions. You can create a bank of custom questions for specific roles, define mandatory questions that must be asked, and allow the AI to generate complementary questions based on the candidate's resume and previous answers. You can also adjust the ratio of technical vs. behavioral questions.
Currently, our AI screening calls support English (US, UK, Australia, India), Spanish, French, German, Portuguese, and Mandarin Chinese. We're continually adding more languages, with Japanese, Korean, and Italian coming soon. Please contact our support team if you need a specific language not currently offered.
Candidates receive an email and/or SMS notification (configurable) informing them about the upcoming AI screening call. They can choose their preferred time slots. Before the call begins, the AI confirms the candidate's identity and asks for consent to proceed with the recorded screening interview. Candidates can reschedule if needed.
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