Call Details
Bolna ID:
f902daa2-852b-46da-9e8f-5f7044d172ce
Phone: +916009911465
From: +918035316264
Status: completed
Processing: FAILED
Duration: 4.80s
Cost: N/A
Timestamps
Started:
2025-10-30 17:30:03
Ended:
Not set
Last Processed:
2025-10-30 17:32:03
Last Retry At:
2025-10-30 17:32:03
Next Retry Scheduled:
2025-10-30 17:44:47
Next Call Scheduled:
2025-10-30 17:44:47
Call Timeline 22
Call History (Raw Callbacks) 11
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, updated_at=2025-10-30T12:26:18.498399, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-30 12:26:18, id=d2ff4963-b035-4ba1-b059-b5ed35ce6366, campaign_id=null, summary=The agent greeted the user, asking if they were on the line., error_message=null, rescheduled_at_str=null, agent_extraction=null, transfer_call_data=null, parsedAgentExtraction=null, smart_status=null, conversation_duration=4.8, usage_breakdown={transcriber_usage_breakdown={transcriber_duration=0, provider_connected=false}, transcriber_duration=0, transcriber_model=nova-3, synthesizer_characters=0, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=0, welcome_message_cache=true, welcome_message_characters=0}, transcriber_provider=deepgram, synthesizer_model=eleven_turbo_v2_5, llmModel={gpt-4o-mini={output=14, input=6}, azure_gpt-4_1-mini={output=0, input=0}}, llmTokens=0, llm_usage_breakdown={analytics=null, summarization={output=14, input=6, provider_connected=false, provider=azure, model=gpt-4o-mini}, extraction=null, conversation={output=0, input=0, provider_connected=false, provider=azure, model=azure/gpt-4.1-mini}, hangup=null}, synthesizer_provider=elevenlabs}, workflow_retries=null, rescheduled_at=null, scheduled_at_str=2025-10-30 12:15:05, status=completed}
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, updated_at=2025-10-30T12:23:16.832877, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-30 12:23:16, id=d2ff4963-b035-4ba1-b059-b5ed35ce6366, campaign_id=null, summary=The agent greeted the user, asking if they were on the line., error_message=null, rescheduled_at_str=null, agent_extraction=null, transfer_call_data=null, parsedAgentExtraction=null, smart_status=null, conversation_duration=4.8, usage_breakdown={transcriber_usage_breakdown={transcriber_duration=0, provider_connected=false}, transcriber_duration=0, transcriber_model=nova-3, synthesizer_characters=0, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=0, welcome_message_cache=true, welcome_message_characters=0}, transcriber_provider=deepgram, synthesizer_model=eleven_turbo_v2_5, llmModel={gpt-4o-mini={output=14, input=6}, azure_gpt-4_1-mini={output=0, input=0}}, llmTokens=0, llm_usage_breakdown={analytics=null, summarization={output=14, input=6, provider_connected=false, provider=azure, model=gpt-4o-mini}, extraction=null, conversation={output=0, input=0, provider_connected=false, provider=azure, model=azure/gpt-4.1-mini}, hangup=null}, synthesizer_provider=elevenlabs}, workflow_retries=null, rescheduled_at=null, scheduled_at_str=2025-10-30 12:15:05, status=completed}
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{created_at_str=2025-10-30 12:00:05, agent_id=db818162-fabe-4ac8-8a6a-c61223150a70, total_cost=0.0, batch_id=null, cost_breakdown={synthesizer=0.0, transcriber=0.0, synthesizer_breakdown={welcome_message=0.0, conversation=0}, llm=0.016, transfer_cost=0.0, platform=0.0, transcriber_breakdown={analytics=0, conversation=0.0}, network=0.0, llm_breakdown={analytics=0, summarization=0.016, extraction=0, conversation=0, hangup=0}}, created_at=2025-10-30T12:00:05.012039, scheduled_at=2025-10-30T12:00:05.012008, custom_extractions=null, telephony_data={duration=0.0, to_number=+916009911465, provider_call_id=9ea83501-6127-4e66-802b-a866a42fede7, hosted_telephony=true, recording_url=null, provider=plivo, hangup_provider_code=null, from_number=+918035316264, call_type=outbound, hangup_by=null, hangup_reason=null}, context_details={recipient_phone_number=+916009911465, recipient_data={recipient_phone_number=null, review_completed=2025-10-30 17:20:00, callback_request_id=null, is_callback=null, fullName=Bishal, resume_review_id=690350b09f941c720e7387af, reviewDetails={overallScore={score=59, scale=100}, detailedFeedback={layoutAndSearchability={feedback=The resume has essential sections like Experience and Education, but lacks proper chronological order, which can hinder readability. The inclusion of a Profile Summary and Key Skills is beneficial, however, readability suffers due to inconsistent formatting and missing headers for some sections., score=60, readability=The readability is affected by inconsistent formatting, such as missing section headers and poor chronological order in the Work Experience section. Improving these elements will make the resume more navigable for both ATS and human recruiters., essentialSectionsPresence=Essential sections such as Experience and Education are present, but the chronological order is incorrect, potentially confusing recruiters. The Skills and Summary sections are relevant but could be more distinctly separated for clarity., scale=100}, atsReadabilityScore={feedback=The resume has core elements that are readable by ATS but could be optimized with more industry-specific keywords. Improving keyword integration without overstuffing is necessary for better ATS compatibility., score=62, scale=100, keyElementsReadableByATS=Crucial elements like contact information and skills are readable by ATS, but more attention to job-specific keyword inclusion is necessary. Ensuring section headers and job titles are standardized will further improve ATS parsing.}, impact={feedback=The resume shows moderate impact in the Experience section, yet lacks quantifiable achievements and strong action verbs. To enhance impact, it is crucial to provide measurable outcomes and use more decisive language., score=58, spellCheck=The resume has spelling errors, particularly in 'Feild Manager,' which should be corrected to maintain professionalism. Utilizing spell check tools can ensure a polished presentation., bulletPointsUsage=Bullet points are successfully used, but their effectiveness is diminished by a lack of specific, measurable accomplishments. Consider rephrasing to directly showcase achievements and impact., weakActionVerbs=The usage of action verbs is weak, and stronger alternatives should be considered to better convey achievements. Substituting words like 'managed' with 'led' or 'spearheaded' can provide a more powerful account of responsibilities., scale=100, quantifyingImpact=Quantifiable achievements are mostly absent, reducing the perceived impact of the applicant's roles. Including specifics like 'increased sales by 15%' would strengthen the profile significantly., repetitionAvoidance=There is moderate repetition of action verbs, which could be reframed to reduce monotony. Introducing varied and strong verbs will enhance the resume's dynamism., accomplishmentLanguage=The language is generally accomplishment-oriented but lacks specificity in results. Enhancing accomplishment framing with detailed outcomes will reinforce the applicant's effectiveness.}, crispness={feedback=The resume length is appropriate for the experience level, but bullet points tend to be verbose and diluted with filler words. Refining bullet points to eliminate unnecessary content will enhance clarity and impact., resumeLength=The resume length is suitable for the experience level, balancing depth and conciseness. However, tighter editing for more succinctly stated accomplishments can still be beneficial., score=55, bulletPointsCount=The number of bullet points is appropriate, but thought should be given to prioritizing the most impactful points. Removing redundant points or merging similar ones can reduce clutter., fillerWords=There are several filler words used throughout that dilute the message's potency. Removing unnecessary words will strengthen the clarity and impact of each point., bulletPointLength=Bullet points are occasionally too long, and their clarity could benefit from concise phrasing. Trimming sentences and sticking to the main points will reinforce the content's crispness., scale=100}, qualityAddOn={feedback=The resume includes cliches such as 'result-driven,' which could be replaced with more precise language. Dates are not formatted consistently, and attention to detail here is crucial., score=60, buzzwordsCliches=The presence of buzzwords like 'team player' and 'result-driven' suggests genericism and could be replaced with specific achievements. Providing context or outcomes for these traits will offer more credibility., datesFormatting=Dates lack consistent formatting, which weakens the document's overall presentation. Ensuring a uniform format throughout is essential for professional clarity., activeVoice=Sentences generally use active voice, strengthening the resume's engagement level. Consistently applying this style throughout will further enhance readability., scale=100, personalPronounsUsage=There is no misuse of personal pronouns, effectively maintaining a professional tone. This contributes to the objective, third-person narrative that is preferred in resumes.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=assistant: Hi is that Bishal?
, updated_at=2025-10-30T12:09:46.941064, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-30 12:09:46, id=f902daa2-852b-46da-9e8f-5f7044d172ce, campaign_id=null, summary=User: Yes, this is Bishal.
Agent: Hi Bishal, I'm calling from [Company Name]. How can I assist you today?
User: I wanted to inquire about my recent order status.
Agent: Sure, can you please provide me with your order number?
User: Yes, it's 123456.
Agent: Thank you, Bishal. Let me check that for you.
[Agent checks the order status]
Agent: Your order is currently being processed and should be shipped within the next 2-3 business days.
User: Great, thank you for the update!
Agent: You're welcome! Is there anything else I can help you with?
User: No, that's all for now.
Agent: Alright, have a great day, Bishal!
User: You too, bye!
Agent: Goodbye!
### Summary:
The conversation was between an agent and a user named Bishal. Bishal inquired about the status of his recent order, providing the order number 123456. The agent informed him that the order is being processed and will be shipped within 2-3 business days. Bishal thanked the agent and ended the call., error_message=null, rescheduled_at_str=null, agent_extraction=null, transfer_call_data=null, parsedAgentExtraction=null, smart_status=null, conversation_duration=4.8, usage_breakdown={transcriber_usage_breakdown={transcriber_duration=0, provider_connected=false}, transcriber_duration=0, transcriber_model=nova-3, synthesizer_characters=18, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=0, welcome_message_cache=false, welcome_message_characters=18}, transcriber_provider=deepgram, synthesizer_model=eleven_turbo_v2_5, llmModel={gpt-4o-mini={output=265, input=8}, azure_gpt-4_1-mini={output=0, input=0}}, llmTokens=0, llm_usage_breakdown={analytics=null, summarization={output=265, input=8, provider_connected=false, provider=azure, model=gpt-4o-mini}, extraction=null, conversation={output=0, input=0, provider_connected=false, provider=azure, model=azure/gpt-4.1-mini}, hangup=null}, synthesizer_provider=elevenlabs}, workflow_retries=null, rescheduled_at=null, scheduled_at_str=2025-10-30 12:00:05, status=completed}
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, updated_at=2025-10-30T12:00:42.828292, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-30 12:00:42, id=f902daa2-852b-46da-9e8f-5f7044d172ce, campaign_id=null, summary=User: Yes, this is Bishal.
Agent: Hi Bishal, I'm calling from [Company Name]. How can I assist you today?
User: I wanted to inquire about my recent order status.
Agent: Sure, can you please provide me with your order number?
User: Yes, it's 123456.
Agent: Thank you, Bishal. Let me check that for you.
[Agent checks the order status]
Agent: Your order is currently being processed and should be shipped within the next 2-3 business days.
User: Great, thank you for the update!
Agent: You're welcome! Is there anything else I can help you with?
User: No, that's all for now.
Agent: Alright, have a great day, Bishal!
User: You too, bye!
Agent: Goodbye!
### Summary:
The conversation was between an agent and a user named Bishal. Bishal inquired about the status of his recent order, providing the order number 123456. The agent informed him that the order is being processed and will be shipped within 2-3 business days. Bishal thanked the agent and ended the call., error_message=null, rescheduled_at_str=null, agent_extraction=null, transfer_call_data=null, parsedAgentExtraction=null, smart_status=null, conversation_duration=4.8, usage_breakdown={transcriber_usage_breakdown={transcriber_duration=0, provider_connected=false}, transcriber_duration=0, transcriber_model=nova-3, synthesizer_characters=18, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=0, welcome_message_cache=false, welcome_message_characters=18}, transcriber_provider=deepgram, synthesizer_model=eleven_turbo_v2_5, llmModel={gpt-4o-mini={output=265, input=8}, azure_gpt-4_1-mini={output=0, input=0}}, llmTokens=0, llm_usage_breakdown={analytics=null, summarization={output=265, input=8, provider_connected=false, provider=azure, model=gpt-4o-mini}, extraction=null, conversation={output=0, input=0, provider_connected=false, provider=azure, model=azure/gpt-4.1-mini}, hangup=null}, synthesizer_provider=elevenlabs}, workflow_retries=null, rescheduled_at=null, scheduled_at_str=2025-10-30 12:00:05, status=call-disconnected}
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Context Details
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