Call Details

Bolna ID: 3b1c29a3-12f2-4f8c-a227-fda6848e8575

Phone: +919560393492

From: +918035316264

Status: completed

Processing: COMPLETED

Duration: 1.10s

Cost: ₹0.63

Hangup Details

Hangup By: Plivo

Reason: End of inputs from Bolna

Timestamps

Started:
2025-10-10 16:37:09

Ended:
Not set

Last Processed:
2025-10-10 16:39:09

Last Retry At:
2025-10-10 16:39:09

Next Retry Scheduled:
2025-10-10 16:42:33

Next Call Scheduled:
2025-10-10 16:42:33

Call Timeline 13
2025-10-10 16:37:10
CALLBACK_INITIATED MAIN
CALL_SERVICE
₹0.00
Duration: 0.00s
2025-10-10 16:37:12
INITIATED MAIN
CALLBACK_UPDATE
₹0.00
Duration: 0.00s
2025-10-10 16:37:13
RINGING MAIN
CALLBACK_UPDATE
₹0.00
Duration: 0.00s
2025-10-10 16:37:15
IN_PROGRESS MAIN
CALLBACK_UPDATE
₹0.00
Duration: 0.00s
2025-10-10 16:37:27
COMPLETED MAIN
CALLBACK_UPDATE
₹0.13
Duration: 1.10s
2025-10-10 16:37:27
MAIN_CALL_FAILED MAIN
CALLBACK_SERVICE
₹0.00
Duration: 0.00s
Metadata: {reason=Main call failed with terminal status, status=COMPLETED}
2025-10-10 16:37:27
RETRY_CREATED MAIN
RETRY_POLICY
₹0.00
Duration: 0.00s
Metadata: {reason=Main call failed with status: COMPLETED, attempt_no=1}
2025-10-10 16:37:33
COMPLETED MAIN
CALLBACK_UPDATE
₹0.63
Duration: 1.10s
Metadata: {asst_T3MUlbYNAcyJN8Sd6SgOdOpc={dispositions={disposition_1=No Response, disposition_2=, disposition_3=}}}
2025-10-10 16:37:33
MAIN_CALL_FAILED MAIN
CALLBACK_SERVICE
₹0.00
Duration: 0.00s
Metadata: {reason=Main call failed with terminal status, status=COMPLETED}
2025-10-10 16:37:33
RETRY_CREATED MAIN
RETRY_POLICY
₹0.00
Duration: 0.00s
Metadata: {reason=Main call failed with status: COMPLETED, attempt_no=2}
2025-10-10 16:39:09
RETRY_CANCELLED MAIN
ADDITIONAL_DETAILS_FETCH_SERVICE
₹0.00
Duration: 0.00s
Metadata: {message=Scheduled-uninitiated retry cancelled due to main completion, timestamp=2025-10-10 16:39:09}
2025-10-10 16:39:09
RETRY_CANCELLED MAIN
ADDITIONAL_DETAILS_FETCH_SERVICE
₹0.00
Duration: 0.00s
Metadata: {message=Scheduled-uninitiated retry cancelled due to main completion, timestamp=2025-10-10 16:39:09}
2025-10-10 16:39:09
ADDITIONAL_DETAILS_FETCH_SUCCESS MAIN
ADDITIONAL_DETAILS_FETCH_SERVICE
₹0.00
Duration: 0.00s
Metadata: {message=Successfully fetched and saved additional details, timestamp=2025-10-10 16:39:09}
Call History (Raw Callbacks) 5

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user:  your
assistant:  Hey Pawan, sorry I didn’t catch that. Could you please repeat?
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user:  your
assistant:  Hey Pawan, sorry I didn’t catch that. Could you please repeat?
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Maintaining this approach keeps the focus on achievements rather than self-references.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-10T11:07:13.366288, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-10 11:07:13, id=3b1c29a3-12f2-4f8c-a227-fda6848e8575, campaign_id=null, summary=null, error_message=null, rescheduled_at_str=null, agent_extraction=null, transfer_call_data=null, parsedAgentExtraction=null, smart_status=null, conversation_duration=0.0, usage_breakdown={transcriber_usage_breakdown={transcriber_duration=0, provider_connected=false}, transcriber_duration=0, transcriber_model=nova-3, synthesizer_characters=17, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=0, welcome_message_cache=false, welcome_message_characters=17}, transcriber_provider=deepgram, synthesizer_model=eleven_turbo_v2_5, llmModel={azure_gpt-4_1-mini={output=0, input=0}}, llmTokens=0, llm_usage_breakdown={analytics=null, summarization=null, 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=2025-10-10 11:07:10, status=ringing}

{created_at_str=2025-10-10 11:07:10, agent_id=2fefba9f-c4bd-492b-8ccf-d72da990f4f0, total_cost=0.0, batch_id=null, cost_breakdown={synthesizer=0.0, transcriber=0, synthesizer_breakdown={welcome_message=0.0, conversation=0}, llm=0, platform=0, transcriber_breakdown={analytics=0, conversation=0}, network=0, llm_breakdown={analytics=0, summarization=0, extraction=0, conversation=0, hangup=0}}, created_at=2025-10-10T11:07:10.352775, scheduled_at=2025-10-10T11:07:10.352751, custom_extractions=null, telephony_data={duration=0.0, to_number=+919560393492, provider_call_id=a9b44961-88ac-4fe4-99af-e7c74d790db2, hosted_telephony=false, 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=+919560393492, recipient_data={recipient_phone_number=null, review_completed=2025-10-10 16:26:53, callback_request_id=null, is_callback=null, fullName=Pawan, resume_review_id=68e8e5fc9f941c720e70216f, reviewDetails={overallScore={score=60.8, scale=100}, detailedFeedback={layoutAndSearchability={feedback=The resume includes all essential sections such as About Me, Work Experience, Education, and Skills. However, the contact information layout is scattered and can be consolidated for better clarity., score=62, readability=The resume's readability could be improved by making sections stand out more distinctly either through formatting or use of headers. This will help in recognizing key sections more swiftly during a quick scan., essentialSectionsPresence=The Experience section is detailed and captures the relevant roles in reverse chronological order, which is good. The Education section is also accurately placed, providing clear insights into the candidate's academic background., scale=100}, atsReadabilityScore={feedback=Key sections are generally readable by ATS, but improvements could make the document more ATS-friendly, such as optimizing keywords specific to the industry and role., score=65, scale=100, keyElementsReadableByATS=The essential elements are adequately labeled for ATS readability, yet adding more relevant industry keywords can improve scanning accuracy. This will ensure greater compatibility with ATS systems.}, impact={feedback=The resume effectively uses bullet points in the Work Experience section, enhancing readability. However, there is room to incorporate more quantifiable data to further boost the resume's impact., score=60, spellCheck=The resume is mostly error-free but contains minor inconsistencies in formatting that could be considered errors, such as varied spacing. Standardizing formatting would minimize these discrepancies., bulletPointsUsage=The bullet points are used consistently, which contributes positively to clarity and scannability. However, some bullet points are longer than necessary and could be made more concise., weakActionVerbs=There is a balanced usage of action verbs, but stronger verbs could further enhance the impact of accomplishments. For instance, 'Spearheaded' instead of 'Led' could add a dynamic touch., scale=100, quantifyingImpact=While there are some good attempts at showcasing impact, such as time saved in processes, more numerical data like 'reduced processing time by 15%' would strengthen the assertions., repetitionAvoidance=Repetition of phrases like 'Improved' and 'Processed' could be avoided by varying action verbs. This would help maintain engagement and provide a clearer narrative of the candidate's skills., accomplishmentLanguage=The use of accomplishment language is noticeable, but emphasizing accomplishments quantified by statistics or outcomes would provide more depth. This will make achievements more tangible.}, crispness={feedback=The resume's length is largely appropriate, yet certain sections are overly verbose with filler words that can be trimmed. Focusing on concise language will convey information more sharply., resumeLength=Given the candidate's experience, the length is suitable but could still be reduced by omitting redundant information. This maximizes the impact of each section., score=55, bulletPointsCount=While the number of bullet points aligns with the resume's total length, ensuring each point is sharp and impactful would enhance readability. Currently, some points expand too much without clear impact., fillerWords=The presence of filler words detracts from the resume's crispness. Eliminating these will lead to a more streamlined presentation of skills and experiences., bulletPointLength=Some bullet points are extended unnecessarily, which dilutes their impact. Shortening these points will bolster the resume's precision., scale=100}, qualityAddOn={feedback=Overall, the resume avoids major use of clichés, although it uses some buzzwords that could be specified further. This shift will enhance the resume's uniqueness and personal brand., score=62, buzzwordsCliches=Common phrases like 'proven track record' might be replaced with specific achievements to avoid cliches. Ensuring language is personalized and direct impacts how accomplishments are perceived., datesFormatting=Dates are mostly consistent, yet ensuring a single format across all sections would enhance uniformity. Consistency in date presentation aids readability and professionalism., activeVoice=Active voice is effectively used, creating clarity and engagement. Continuing this approach enhances the resume's directness and readability., scale=100, personalPronounsUsage=The resume generally avoids personal pronouns, aligning with best practices. Maintaining this approach keeps the focus on achievements rather than self-references.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-10T11:07:11.894775, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-10 11:07:11, id=3b1c29a3-12f2-4f8c-a227-fda6848e8575, campaign_id=null, summary=null, error_message=null, rescheduled_at_str=null, agent_extraction=null, transfer_call_data=null, parsedAgentExtraction=null, smart_status=null, conversation_duration=0.0, usage_breakdown={transcriber_usage_breakdown={transcriber_duration=0, provider_connected=false}, transcriber_duration=0, transcriber_model=nova-3, synthesizer_characters=17, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=0, welcome_message_cache=false, welcome_message_characters=17}, transcriber_provider=deepgram, synthesizer_model=eleven_turbo_v2_5, llmModel={azure_gpt-4_1-mini={output=0, input=0}}, llmTokens=0, llm_usage_breakdown={analytics=null, summarization=null, 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=2025-10-10 11:07:10, status=initiated}
Context Details
{recipient_phone_number=+919560393492, recipient_data={recipient_phone_number=null, review_completed=2025-10-10 16:26:53, callback_request_id=null, is_callback=null, fullName=Pawan, resume_review_id=68e8e5fc9f941c720e70216f, parentBolnaId=null, attemptType=null}, resume_review_id=null}