Table structure
Candidatesai_resume_candidatesCandidate list
ai_resume_work_experienceWork experience
ai_resume_educationEducation
ai_resume_skillsSkills
ai_resume_extrasStrengths
ai_resume_interviewsInterview records
Goalfy Talent Pool
Turn candidate profiles, job fit, education, salary expectations, status, and interview records into a reusable talent dataset and lightweight dashboard, so the same selection logic can keep identifying suitable candidates over time.
This page presents the structured dataset result and talent dashboard for Goalfy Talent Pool.
7 data tables6 relationships4 governance rules1 talent dashboard
Generated dataset
GoalfyData turns candidate information into a lightweight talent dataset covering candidate list, work experience, education, skills, strengths, interview records, and detail text.
Generated data app
What this case shows
A reusable dataset
Candidate information becomes a durable dataset, not a one-off resume sorting file; education, salary, status, and interview rounds remain queryable fields so teams can reuse the same selection logic.
A data app that stays up to date
The talent dashboard can keep updating from the dataset, using the same data for candidate lists, filters, job fit, and interview progress.
Explore more examples
See how GoalfyData turns data into reusable datasets and apps across different business scenarios.