> ## Documentation Index > Fetch the complete documentation index at: https://dev.alpharun.com/llms.txt > Use this file to discover all available pages before exploring further. # Fetch Interview > Return the interview for the given ID. ## OpenAPI ````yaml GET /job-openings/{JOB_OPENING_ID}/interviews/{INTERVIEW_ID} openapi: 3.0.1 info: title: Alpharun API description: Alpharun REST API reference license: name: MIT version: 1.0.0 servers: - url: https://api.alpharun.com/api/v1 security: - bearerAuth: [] paths: /job-openings/{JOB_OPENING_ID}/interviews/{INTERVIEW_ID}: get: description: Return the interview for the given ID. parameters: - name: JOB_OPENING_ID in: path description: ID of the job opening required: true schema: type: string format: uuid - name: INTERVIEW_ID in: path description: ID of the interview to fetch required: true schema: type: string format: uuid responses: '200': description: Interview details content: application/json: schema: type: object properties: data: type: object properties: interview: $ref: '#/components/schemas/Interview' example: data: interview: id: abc123 job_opening_id: def456 job_opening: id: def456 name: Customer Support Representative status: completed contact: first_name: Miguel last_name: Rodriguez email: miguel.rodriguez@alpharun.com phone_number: null resume_url: https://api.alpharun.com/api/v1/resumes/abc123.pdf custom_fields: - key: location name: Location type: string value: New York started_at: '2024-05-29T22:43:16.029+00:00' completed_at: '2024-05-29T22:43:16.029+00:00' transcript_fragments: - role: agent transcript: Hello, is this Miguel Rodriguez? - role: participant transcript: Yes, this is Miguel. How are you? - role: agent transcript: >- I'm doing well, thank you. Let's get started with the interview. Can you describe any previous experience in customer support that you have? - role: participant transcript: >- Certainly. I've been working in customer support for over two years now. My first role was at a call center where I handled inquiries and complaints from customers. Recently, I worked with an e-commerce company where I provided support via chat and email. - role: agent transcript: >- That's great to hear. What motivated you to apply for this position at Acme, and what interests you about working in a BPO environment? - role: participant transcript: >- I have always been drawn to roles that require strong interpersonal skills and problem-solving abilities. What's appealing about Acme is its reputation for excellent team collaboration and its dedication to client satisfaction. The BPO environment facilitates constant learning and growth, which is very exciting for me. - role: agent transcript: >- How would you rate your English proficiency, and in what ways have you used English in your previous customer support roles? - role: participant transcript: >- I would rate my English proficiency at a C1 level. In my previous roles, I communicated with clients exclusively in English, both verbally and in writing, including providing detailed explanations and resolving issues effectively. - role: agent transcript: >- Can you provide an example of a time when you collaborated with a team to resolve a customer issue? - role: participant transcript: >- Certainly. At my last job, we had a situation where a customer's package was lost. I coordinated with the logistics team to track the item, liaised with the warehouse to confirm inventory, and worked with my supervisor to arrange a replacement. Throughout this process, clear and constant communication was key. - role: agent transcript: >- How do you handle high-pressure situations or difficult customers when providing support? - role: participant transcript: >- I stay calm and listen actively. It's important to let the customer express their frustration while I calmly gather necessary information. I then assure them that I'm here to help and quickly come up with a solution. Staying patient and empathetic is crucial. - role: agent transcript: >- What strategies do you use to ensure effective communication and support for clients? - role: participant transcript: >- Clear and simple language is essential. I make sure to be concise but thorough, and I always confirm understanding by asking follow-up questions. Regular updates and follow-through are also important to keep the client informed. - role: agent transcript: >- Why do you believe it is important to provide excellent customer service, especially in the context of supporting American clients? - role: participant transcript: >- Providing excellent customer service builds trust and loyalty, which are key to any business. American clients, in particular, appreciate responsive and friendly interaction. It's important to meet their expectations to foster repeat business and positive word-of-mouth. - role: agent transcript: >- How do you stay motivated and maintain a positive attitude while handling repetitive or challenging tasks in customer support? - role: participant transcript: >- I remind myself of the impact my work has on people's lives. Small gestures, like resolving an issue or making someone's day better, are very rewarding. I also take brief breaks to recharge and keep a positive mindset. - role: agent transcript: >- Can you describe a significant achievement in your customer support career that you are particularly proud of? - role: participant transcript: >- Sure. One time, I was able to turn around a difficult situation with a very upset customer by going above and beyond to resolve their issue. This led to the customer later submitting a commendation for my assistance, which was a very proud moment for me. - role: agent transcript: >- What software or tools are you familiar with that can aid in providing exceptional customer service? - role: participant transcript: >- I am well-versed in using CRM software like Salesforce and Zendesk. I also have experience with live chat tools, email management systems, and basic Excel functions for reporting purposes. - role: agent transcript: >- Thank you, Miguel. We will be in touch soon regarding the next steps. - role: participant transcript: >- Thank you for the opportunity. I look forward to hearing from you. insights: assessment_score: 5 strengths: - >- Demonstrates extensive customer support experience with both phone and digital channels - >- Shows excellent English proficiency at C1 level with clear communication - >- Exhibits strong problem-solving abilities through concrete examples - >- Maintains composure and empathy when handling difficult situations - >- Displays proficiency with relevant customer service tools and CRM systems weaknesses: - >- Could benefit from more experience in a BPO environment calls: - id: abc123 recording_url: >- https://api.alpharun.com/api/v1/projects/12345/interviews/56789/calls/xyz123/recording video_url: >- https://api.alpharun.com/api/v1/projects/12345/interviews/56789/calls/xyz123/video started_at: '2024-05-29T22:43:16.029+00:00' ended_at: '2024-05-29T22:48:32.145+00:00' assessment_criteria: - name: CEFR English level estimate value: C1 commentary: >- The candidate demonstrates C1 level fluency and has a neutral American accent. They articulate confidently and show a strong command over technical terminology in the software development field. Their grammar is accurate, vocabulary is broad, and they respond to questions with ease, showcasing coherent and complex sentence structures. Overall, their proficiency is indicative of an advanced level of English. - name: Proficient in React, Node.js, and TypeScript value: true commentary: >- Miguel demonstrates proficiency with all three technologies in past projects. data_extraction_fields: - name: >- Level of customer support experience (Scale of 1-5, 1 = No Experience, 5 = Expert) type: number value: 2 commentary: >- Miguel has 1 year of experience in phone based customer support. - name: Has a valid visa to work in the US type: boolean value: true commentary: Miguel has a valid H-1B visa. custom_fields: - key: ats_applicant_id name: ATS applicant ID type: string value: 1234asdf '400': description: Unexpected error content: application/json: schema: $ref: '#/components/schemas/Error' components: schemas: Interview: type: object required: - id - job_opening_id - job_opening - status - contact - started_at - completed_at - transcript_fragments - insights properties: id: type: string description: ID of the interview job_opening_id: type: string description: ID of the job opening this interview belongs to job_opening: description: The job opening associated with this interview type: object properties: id: type: string description: ID of the job opening name: type: string description: Name of the job opening status: type: string enum: - in_progress - completed description: >- Current status of the interview: "in_progress" (interviewee has not answered all questions) or "completed" contact: type: object properties: first_name: type: string nullable: true description: First name of the interviewee last_name: type: string nullable: true description: Last name of the interviewee email: type: string nullable: true description: Email address of the interviewee phone_number: type: string nullable: true description: Phone number of the interviewee resume_url: type: string nullable: true description: URL of the interviewee's resume custom_fields: type: array description: List of custom fields on the contact items: type: object required: - key - name - type - value properties: key: type: string description: Machine-readable key of the custom field name: type: string description: Human-friendly name of the custom field type: type: string enum: - text - number - boolean description: Data type of the custom field value: oneOf: - type: string - type: number - type: boolean nullable: true description: Value of the custom field started_at: type: string format: date-time description: ISO 8601 timestamp of when the interview started completed_at: type: string format: date-time description: ISO 8601 timestamp of when the interview was completed transcript_fragments: type: array items: type: object required: - role - transcript properties: role: type: string enum: - agent - participant description: Role of the speaker ("agent" or "participant") transcript: type: string description: The spoken content description: List of transcript fragments in chronological order insights: type: object properties: assessment_score: type: number nullable: true description: >- An overall rating (1 to 5) of how qualified the candidate is for this role, based on the assessment criteria strengths: type: array items: type: string nullable: true description: >- List of candidate's key strengths identified during the interview weaknesses: type: array items: type: string nullable: true description: >- List of candidate's key areas for improvement identified during the interview description: >- AI-generated insights for this interview. Note that insights are only generated for completed interviews, so these values may be null for partially completed interviews. calls: type: array items: type: object required: - id - recording_url - started_at - ended_at properties: id: type: string description: Unique identifier for the call recording_url: type: string description: URL to access the recording of the call video_url: type: string description: Pre-signed URL to download the video recording, if available started_at: type: string format: date-time description: ISO 8601 timestamp of when the call started ended_at: type: string format: date-time description: ISO 8601 timestamp of when the call ended description: List of calls associated with this interview assessment_criteria: type: array items: type: object required: - name - value - commentary properties: name: type: string description: Name of the assessment criteria value: oneOf: - type: string - type: boolean description: Value of the assessment criteria commentary: type: string description: Commentary on the assessment criteria description: List of assessment criteria for the interview data_extraction_fields: type: array items: type: object required: - name - type - value - commentary properties: name: type: string description: Name of the data extraction field type: type: string enum: - number - boolean description: Type of the data extraction field value: oneOf: - type: number - type: boolean nullable: true description: Value of the field extracted from the interview commentary: type: string nullable: true description: Commentary explaining the extracted value description: List of data extraction fields extracted from the interview custom_fields: type: array description: List of custom fields on the interview items: type: object required: - key - name - type - value properties: key: type: string description: Machine-readable key of the custom field name: type: string description: Human-friendly name of the custom field type: type: string enum: - text - number - boolean description: Data type of the custom field value: oneOf: - type: string - type: number - type: boolean nullable: true description: Value of the custom field Error: required: - error - message type: object properties: error: type: integer format: int32 message: type: string securitySchemes: bearerAuth: type: http scheme: bearer ````