Dashboard

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user:  hello
assistant:  Hi! This is Anita from Outspark. Is it a good time to connect with you right now?
user:  yes
assistant:  Great! I see you just checked your resume score with us today. Are you looking for a job change right now or just updating your resume?
user:  just updating my resume i'm looking for job change address
assistant:  Got it! You mentioned updating your resume but also looking for a job change. We have your experience as 10 years, is that correct?
user:  eight years
assistant:   Thanks for that! What kind of roles are you targeting with your eight years of experience?
user:  i'm looking for the system administrator role
assistant:   Nice! Are you aware of ATS, the applicant tracking system, and how it impacts your resume?
user:  i'm not aware of it
assistant:   No worries
user:  i was just scrolling down on linkedin
assistant:  No
user:  and found it
assistant:   That’s great
user:  out from yeah
assistant:   ATS is software that helps HR shortlist profiles. If your resume isn’t ATS-friendly, it might get rejected before reaching HR. Makes sense?
user:  ok
assistant:   I see your resume score was out of one hundred. Anything below eighty is poor for ATS. Are you getting enough relevant interview calls with this resume?
user:  no it's not getting relevant calls
assistant:   Are you customizing your resume for every job or using the same one for all applications?
user:  that is for adhd basically
assistant:   Sorry, I didn’t catch
user:  i'm looking for the ad you want
assistant:    So you’re applying with the same resume for all jobs? That’s why it’s not getting through ATS. Does that make sense?
assistant: Call will now disconnect
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However, restructuring and reordering points could enhance keyword emphasis and discoverability.}, impact={feedback=The resume includes numerous technical tasks, but these are often not linked to outcomes or results. There’s a need to include more quantifiable accomplishments to demonstrate the impact of the work done., score=58, spellCheck=The document contains several minor punctuational errors that could be improved with a thorough spell check. Ensuring correctness in each section is crucial for professionalism., bulletPointsUsage=Bullet points are used extensively, which enhances clarity. However, their structure doesn't always clearly convey accomplishments, focusing instead on tasks., weakActionVerbs=Many bullet points rely on weak verbs like ‘managed’ and ‘enabled.’ Consider replacing them with stronger, more dynamic verbs such as ‘spearheaded’ and ‘overhauled’ to convey a stronger action impact., scale=100, quantifyingImpact=There's limited use of quantifiable metrics; specific achievements and contributions should be highlighted. This would significantly enhance the perceived impact and value of the experiences listed., repetitionAvoidance=There is some repetition in the phrases used across different roles, particularly around task descriptions. Varying the vocabulary and focusing on achievements rather than duties would improve effectiveness., accomplishmentLanguage=The language lacks a focus on accomplishments or contributions relative to major initiatives or projects. Highlighting specific enhancements in productivity or system improvements would be valuable.}, crispness={feedback=The resume is overly long and could benefit from more concise bullet points. Reducing the number of filler words would also significantly improve its crispness and impact., resumeLength=The resume exceeds the ideal length for someone with this level of experience, making it potentially burdensome to read. Keeping it to two pages or less is recommended., score=55, bulletPointsCount=There are too many bullet points and some are quite lengthy. Condensing points to focus on key achievements instead of tasks is advisable., fillerWords=Filler words are present throughout; cutting these down would significantly improve the resume's readability and impact. Precision in language will streamline the content, making key points stand out more., bulletPointLength=Several bullet points are verbose and could be shortened without losing critical information. Maintaining clear and concise points enhances readability and retention of information., scale=100}, qualityAddOn={feedback=The resume overuses technical jargon, impeding clarity. Consistency in formatting could further enhance the document’s overall professionalism., score=60, buzzwordsCliches=The resume contains several buzzwords and technical jargon that could be replaced with more specific, descriptive language to clearly communicate skills and achievements., datesFormatting=There is inconsistency in the formatting of dates, which should be rectified for improved professionalism and clarity. Consistent format enhances readability and avoids confusion., activeVoice=The use of active voice is inconsistent, with some portions defaulting to a passive tone. Employing active voice throughout would make the resume more engaging and assertive., scale=100, personalPronounsUsage=Use of personal pronouns is minimal, which aligns with professional resume standards. Maintaining this standard is advised for a formal tone.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-17T05:51:06.338045, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-17 05:51:06, id=794927cc-4b27-421a-b099-ea974b9a7229, 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=2025-10-17 05:51:03, status=initiated}