Le suivi des entretiens professionnels est un enjeu RH majeur. L’automatisation planifie chaque entretien, notifie les managers et collaborateurs, archive les comptes rendus et programme les relances pour le suivi des actions. Ce dispositif valorise la carrière des salariés, aligne les objectifs individuels sur la stratégie d’entreprise et simplifie la gestion administrative pour les RH.
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"url": "={{ $json['Linkedin_URL_Person'] }}",
"prompt": "Please extract the following information from the LinkedIn profile page:nn1. **Full Name**: Extract the full name of the individual.n2. **Current or Most Recent Job Title**: Identify the job title next to the logo of the current or last employer.n3a. **Current or Most Recent Employer**: Extract the name of the first company in the employment experience block. n3b. Linkedin Company URL of the Current or Most Recent Employer: Extract the link of the first company in the employment experience blockn4. **Location**: Extract the location of the individual.n5. **Number of Connections**: Extract the number of connections the individual has.n6. **Number of Followers**: Extract the number of followers the individual has.n7. **About Section Text**: Extract the text from the 'About' section.n8. **Interest Level in AI**: Determine the person's interest level in AI (e.g., beginner, intermediate, advanced, expert).n9. **Seniority Level**: Determine the seniority level of the person (e.g., junior, mid-level, senior, executive).n10. **Technical Depth**: Determine the technical depth of the person (e.g., basic, intermediate, advanced, expert).n11. **ICP Score**: Calculate the ICP Score based on the following criteria:n - AI Interest: beginner-5 pts, intermediate-10 pts, advanced-25 pts, expert-35 ptsn - Technical Depth: basic-5 pts, intermediate-15 pts, advanced-25 pts, expert-35 ptsn - Seniority Level: junior-5 pts, mid-level-15 pts, senior-25 pts, executive-30 ptsn - Sum the points to get the ICP Score.nnEnsure that the extracted information is accurate and formatted according to the specified output schema.nnFor example, if the LinkedIn profile is of a senior software engineer with a strong interest in AI, return the following output:n{n "full_name": "Jane Doe",n "current_or_last_employer": "Tech Innovations Inc.",n "current_or_last_title": "Senior Software Engineer",n "location": "San Francisco, CA",n "number_of_connections": 500,n "number_of_followers": 300,n "about_section_text": "Experienced software engineer with a passion for developing innovative programs that expedite the efficiency and effectiveness of organizational success.",n "ai_interest_level": "advanced",n "seniority_level": "senior",n "technical_depth": "advanced",n "icp_score": 85n}n",
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"jsCode": "const row_number = $('Get person').item.json.row_numbernconst Linkedin_URL_Person = $('Get person').item.json.Linkedin_URL_Personnconst ICP_Score_Person = JSON.parse($input.item.json.data.modelResponse).icp_scorennreturn { json: {n row_number,n Linkedin_URL_Person,n ICP_Score_Personn}};"
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