Call Details
Bolna ID:
090156dc-1b80-4666-8549-9575e03e0f86
Phone: +919480864684
From: +918035316264
Status: completed
Processing: COMPLETED
Duration: 51.80s
Cost: ₹6.32
Hangup Details
Hangup By: Plivo
Reason: End of inputs from Bolna
Timestamps
Started:
2025-10-17 15:15:03
Ended:
Not set
Last Processed:
2025-10-17 15:17:40
Last Retry At:
2025-10-17 15:17:40
Next Retry Scheduled:
2025-10-17 15:21:26
Next Call Scheduled:
2025-10-17 15:21:26
Call Timeline 11
Call History (Raw Callbacks) 5
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user: yes
assistant: Hi Dithesh, this is Anita from Outspark – a career services platform, part of the Times-of-India Group. Is it a good time to connect with you right now?
user: not बचना है यार tell me
assistant: No worries, Dithesh! What time can I call you back today or tomorrow?
user: कुमारा spare
assistant: Sorry, Dithesh, I didn’t get that. Could you please repeat?
user: i can call me back on tomorrow
assistant: Great! What time tomorrow works best for you, Dithesh?
user: three thirty
assistant: Perfect, Dithesh. I’ll call you back tomorrow at three thirty. Looking forward to our chat!
assistant: Call will now disconnect
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user: yes
assistant: Hi Dithesh, this is Anita from Outspark – a career services platform, part of the Times-of-India Group. Is it a good time to connect with you right now?
user: not बचना है यार tell me
assistant: No worries, Dithesh! What time can I call you back today or tomorrow?
user: कुमारा spare
assistant: Sorry, Dithesh, I didn’t get that. Could you please repeat?
user: i can call me back on tomorrow
assistant: Great! What time tomorrow works best for you, Dithesh?
user: three thirty
assistant: Perfect, Dithesh. I’ll call you back tomorrow at three thirty. Looking forward to our chat!
assistant: Call will now disconnect
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{created_at_str=2025-10-17 09:45:04, 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=2025-10-17T09:45:04.583726, scheduled_at=2025-10-17T09:45:04.583693, custom_extractions=null, telephony_data={duration=0.0, to_number=+919480864684, provider_call_id=5d47e2d2-80f1-4146-ba45-5b9997a748d1, 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=+919480864684, recipient_data={recipient_phone_number=null, review_completed=2025-10-17 15:04:15, callback_request_id=null, is_callback=null, fullName=Dithesh, resume_review_id=68f20d0418c34103788ea731, reviewDetails={overallScore={score=60.6, scale=100}, detailedFeedback={layoutAndSearchability={feedback=The layout of the resume is clear but could benefit from better section headings to assist in searchability. The inclusion of projects and skills sections adds value, though formatting can be improved for better clarity., score=65, readability=The readability is good, though the fonts or emphasis on headers can improve skimming. Small font size and dense blocks of text can be refined to enhance readability and flow., essentialSectionsPresence=Essential sections like Experience and Education are present, but they need to be ordered logically for better accessibility. The Skills section is relevant and well-placed., scale=100}, atsReadabilityScore={feedback=The resume is generally compatible with ATS systems; however, keyword optimization would enhance reading by all systems., score=68, scale=100, keyElementsReadableByATS=Essential elements like contact information and positions are discernible, but increasing keyword frequency pertinent to frontend technologies will benefit parsing.}, impact={feedback=The resume needs more quantifiable accomplishments to strengthen its impact. The use of action-oriented, performance-driven language is inconsistent across sections., score=58, spellCheck=The document is mostly free from spelling errors but requires a close review to ensure no minor errors were missed. Consistent proofing will ensure professional presentation., bulletPointsUsage=Bullet points are used effectively, though more expansion on specific duties would be beneficial. There's a need for uniformity in style and structure across bullet points., weakActionVerbs=Certain sections contain weak action verbs that obscure the impact and effectiveness of roles fulfilled. Opting for stronger verbs like 'orchestrated', 'engineered', or 'expedited' would boost engagement., scale=100, quantifyingImpact=Achievement quantification is sporadic; for example, exact figures on the improvements or results of projects would add measurable impact. Overall, there is potential to incorporate more data to showcase contributions., repetitionAvoidance=There is evidence of verb repetition, particularly around collaboration and assistance activities. Diversifying action words will enhance the overall impression., accomplishmentLanguage=The resume would benefit from more accomplishment-oriented language, emphasizing end results and value added. Transforming generic task descriptions into outcomes will elevate credibility.}, crispness={feedback=The resume's length is reasonable but bulleted points can be made more concise. Reducing filler words and striving for brevity will result in a streamlined profile., resumeLength=The length is appropriate for conveying experience, but non-essential details like earlier job responsibilities should be reduced. A focused, one-page summary might provide comparable depth without breadth., score=55, bulletPointsCount=There is an admirable count of bullet points per role, though concise wording is advised to maintain reader engagement. Trim meandering thoughts or descriptions to reinforce clarity., fillerWords=Filler words dilute the directness of your assertions. Eliminate those that do not add substantial value to achieve succinct communication., bulletPointLength=Many bullet points are verbose and require tightening to command attention more effectively. Aiming for brief, powerful statements will improve readability., scale=100}, qualityAddOn={feedback=While stylistically clean, reliance on buzzwords introduces vagueness. Greater precision and avoiding clichés in descriptions is advised., score=57, buzzwordsCliches=Clichéd language is minimal but presents in some sections; specific examples of accomplishments would strengthen the content. Reducing terms like 'innovative solutions' to precise contributions is recommended., datesFormatting=Date formats are generally consistent, but aligning all entries to a uniform standard reinforces professionalism. Ensure chronological clarity in all subsections., activeVoice=The active voice is used, but not consistently across all sections, which affects dynamism. Assuring active voice in every section will amplify engagement and command., scale=100, personalPronounsUsage=Personal pronoun usage is avoided well, which keeps focus on professional capabilities. This style should be maintained throughout for optimal impact.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-17T09:45:07.285433, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-17 09:45:07, id=090156dc-1b80-4666-8549-9575e03e0f86, 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=19, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=0, welcome_message_cache=false, welcome_message_characters=19}, 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=2025-10-17 09:45:04, status=initiated}
Context Details
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