Dashboard

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user:  hi
assistant:  Hey, can you hear me clear?
user:  if you record your
assistant:  Sorry, I didn’t catch that. Could you please repeat?
, updated_at=2025-10-07T07:45:06.834226, answered_by_voice_mail=true, batch_run_details=null, provider=plivo, updated_at_str=2025-10-07 07:45:06, id=63cadd00-20e6-45e4-911f-fadfa56e67bb, campaign_id=null, summary=Anita from Outspark, a career services platform, initiated a phone call to the user. She greeted the user and asked how they were doing. The user responded with a simple "hi," and Anita confirmed if the user could hear her clearly. The user then mentioned something about recording, but Anita was unable to understand and asked the user to repeat their statement., error_message=null, rescheduled_at_str=null, agent_extraction={"asst_T3MUlbYNAcyJN8Sd6SgOdOpc": {"dispositions": {"disposition_1": "Call Status", "disposition_2": "No Response", "disposition_3": ""}}}, transfer_call_data=null, parsedAgentExtraction={asst_T3MUlbYNAcyJN8Sd6SgOdOpc={dispositions={disposition_1=Call Status, disposition_2=No Response, disposition_3=}}}, smart_status=dropped, conversation_duration=1.2, usage_breakdown={transcriber_usage_breakdown={transcriber_duration=1.3999375, provider_connected=false}, transcriber_duration=1.3999375, transcriber_model=nova-3, synthesizer_characters=27, 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=112, input=144}, azure_gpt-4_1-mini={output=21, input=5269}}, llmTokens=0, llm_usage_breakdown={analytics=null, summarization={output=74, input=72, provider_connected=false, provider=azure, model=gpt-4o-mini}, extraction={output=38, input=72, provider_connected=false, provider=azure, model=gpt-4o-mini}, conversation={output=21, input=5269, 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=2025-10-07 07:44:43, status=completed}

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user:  hi
assistant:  Hey, can you hear me clear?
user:  if you record your
assistant:  Sorry, I didn’t catch that. Could you please repeat?
, updated_at=2025-10-07T07:45:01.40082, answered_by_voice_mail=true, batch_run_details=null, provider=plivo, updated_at_str=2025-10-07 07:45:01, id=63cadd00-20e6-45e4-911f-fadfa56e67bb, campaign_id=null, summary=Anita from Outspark, a career services platform, initiated a phone call to the user. She greeted the user and asked how they were doing. The user responded with a simple "hi," and Anita confirmed if the user could hear her clearly. The user then mentioned something about recording, but Anita was unable to understand and asked the user to repeat their statement., error_message=null, rescheduled_at_str=null, agent_extraction=null, transfer_call_data=null, parsedAgentExtraction=null, smart_status=null, conversation_duration=1.2, usage_breakdown={transcriber_usage_breakdown={transcriber_duration=1.3999375, provider_connected=false}, transcriber_duration=1.3999375, transcriber_model=nova-3, synthesizer_characters=27, 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=112, input=144}, azure_gpt-4_1-mini={output=21, input=5269}}, llmTokens=0, llm_usage_breakdown={analytics=null, summarization={output=74, input=72, provider_connected=false, provider=azure, model=gpt-4o-mini}, extraction={output=38, input=72, provider_connected=false, provider=azure, model=gpt-4o-mini}, conversation={output=21, input=5269, 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=2025-10-07 07:44:43, status=call-disconnected}

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{created_at_str=2025-10-07 07:44:44, agent_id=5c934d64-413f-47ee-8326-981f39f451da, total_cost=0.0, batch_id=null, cost_breakdown={synthesizer=0, transcriber=0, synthesizer_breakdown={welcome_message=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=2025-10-07T07:44:44.03266, scheduled_at=2025-10-07T07:44:44.032625, custom_extractions=null, telephony_data={duration=0.0, to_number=+918591875975, provider_call_id=3bf6afe4-c91b-47eb-801e-3272723bb698, 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=+918591875975, recipient_data={recipient_phone_number=null, review_completed=null, callback_request_id=null, is_callback=null, fullName=null, resume_review_id=null, reviewDetails=null, parentBolnaId=b6a0e836-7529-4b31-8000-2286d4b16964, attemptType=RETRY}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-07T07:44:49.218574, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-07 07:44:49, id=e54858d5-a6ea-4b7e-a25e-b9484ac570f8, 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=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={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=2025-10-07 07:44:44, status=ringing}

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{created_at_str=2025-10-07 07:38:45, agent_id=5c934d64-413f-47ee-8326-981f39f451da, total_cost=2.22, batch_id=null, cost_breakdown={synthesizer=0.27, transcriber=0.0, synthesizer_breakdown={welcome_message=0.0, conversation=0.27}, llm=0.451, transfer_cost=0.0, platform=1.5, transcriber_breakdown={analytics=0, conversation=0.0}, network=0.925, llm_breakdown={analytics=0, summarization=0.004, extraction=0.003, conversation=0.444, hangup=0}}, created_at=2025-10-07T07:38:45.874854, scheduled_at=2025-10-07T07:38:45.874812, custom_extractions=null, telephony_data={duration=2.0, to_number=+918591875975, provider_call_id=601a0244-46f3-4667-a905-ea61dd76bc66, hosted_telephony=false, recording_url=https://aps1.media.plivo.com/v1/Account/MAZTZJNZBKOWQXMZBIZJ/Recording/0a36fbad-101c-4730-b055-ccbf25dd540b.mp3, provider=plivo, hangup_provider_code=4010, from_number=+918035316264, call_type=outbound, hangup_by=Plivo, hangup_reason=End of inputs from Bolna}, context_details={recipient_phone_number=+918591875975, recipient_data={recipient_phone_number=null, review_completed=2025-10-07 12:57:53, callback_request_id=null, is_callback=null, fullName=Sharique, resume_review_id=68e4c0719f941c720e6f678a, reviewDetails={overallScore={score=62.2, scale=100}, detailedFeedback={layoutAndSearchability={feedback=The layout of the resume is organized, with sections such as Experience and Education present and neatly structured. Ensure the most recent experiences are consistently highlighted first to instantly capture attention., score=70, readability=The readability of the resume is good with clear headings separating different sections, making it friendly for both human readers and ATS systems. Maintain consistency in formatting to ensure all sections are equally legible., essentialSectionsPresence=Essential sections like Professional Experience and Education are well-labeled, making it easy to navigate through the resume. Consider adding achievements or a specific 'Awards' section if applicable, to enhance detail., scale=100}, atsReadabilityScore={feedback=The resume is compatible with ATS systems due to its structured layout, which is crucial for keyword recognition. Ensure robust industry-specific terms are included for full ATS optimization., score=68, scale=100, keyElementsReadableByATS=Key information such as name, contact details, and recent positions are clearly indicated for ATS parsing. Continue employing clear sectioning and titles to boost keyword visibility.}, impact={feedback=The resume demonstrates a solid attempt to quantify achievements, though more precise figures could enhance impact. Strong active verbs are used, yet repetition is evident and can be avoided to diversify expressions., score=58, spellCheck=The resume is free from spelling errors, which helps maintain professionalism. Regular proofreading or using digital tools can ensure continued accuracy., bulletPointsUsage=Effective bullet point usage in highlighting responsibilities and achievements. However, the points could be more impactful by reducing the use of filler words and emphasizing key accomplishments instead., weakActionVerbs=While generally strong, some action verbs could be replaced with even stronger alternatives to convey assertiveness. Experiment with verbs like 'streamlined' or 'optimized' for a more dynamic narrative., scale=100, quantifyingImpact=There is an effort to quantify impacts, such as revenue targets exceeded, which strengthens the resume considerably. Expanding on these points with more numerical data where possible can enhance the impression further., repetitionAvoidance=There is some repetition of common action verbs like 'managed' and 'coordinated.' Use a wider variety of action verbs to give each bullet point a distinct feel and emphasize different skills., accomplishmentLanguage=Accomplishment-oriented language is used well, making the achievements come across clear and decisive. Strengthening this language with quantified success stories can improve the strength of this section further.}, crispness={feedback=The resume succinctly covers the necessary experiences, though bullet points could be further condensed for enhanced clarity. Avoiding any perceived filler will keep the document tight and focused., resumeLength=The current length is suitable for the level of experience, covering necessary details without excess. Keep the focus on the most relevant experiences to maintain this balance as additions are made., score=55, bulletPointsCount=There is an appropriate number of bullet points that ensure all key skills and achievements are covered. Just ensure that each point adds value and avoid unnecessary bullet point inflation., fillerWords=The presence of filler words dilutes the strength of certain points. Stripping away any superfluous language will highlight the impactful achievements more prominently., bulletPointLength=Some bullet points tend to be longer than necessary, potentially burying key information. Aim for brevity by removing non-essential details to make them punchier., scale=100}, qualityAddOn={feedback=Stylistically, there are minor refinements needed to polish the resume thoroughly. 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Avoiding any perceived filler will keep the document tight and focused., resumeLength=The current length is suitable for the level of experience, covering necessary details without excess. Keep the focus on the most relevant experiences to maintain this balance as additions are made., score=55, bulletPointsCount=There is an appropriate number of bullet points that ensure all key skills and achievements are covered. Just ensure that each point adds value and avoid unnecessary bullet point inflation., fillerWords=The presence of filler words dilutes the strength of certain points. Stripping away any superfluous language will highlight the impactful achievements more prominently., bulletPointLength=Some bullet points tend to be longer than necessary, potentially burying key information. Aim for brevity by removing non-essential details to make them punchier., scale=100}, qualityAddOn={feedback=Stylistically, there are minor refinements needed to polish the resume thoroughly. Buzzwords are controlled well, but avoiding any clichés further will create a more tailored impression., score=60, buzzwordsCliches=Buzzwords and clichés are kept to a minimum, maintaining a professional tone. Avoid generic phrases entirely by showcasing personal contributions and innovations., datesFormatting=Date formatting is consistent, though ensuring alignment with professional standards will boost clarity. Consider using a single format throughout to prevent confusion., activeVoice=The resume is predominantly written in an active voice, adding clear strength to achievements and roles. Continue using this style to communicate competency effectively., scale=100, personalPronounsUsage=The resume avoids personal pronouns, which is appropriate for professional settings. Maintain this approach for consistency and professionalism.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-07T07:38:48.415061, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-07 07:38:48, id=b6a0e836-7529-4b31-8000-2286d4b16964, 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=137, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=0, welcome_message_cache=false, welcome_message_characters=137}, 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=2025-10-07 07:38:45, status=initiated}