HRMS migration
Field-level mapping, validation, and rollback between unstop and Crelate. We move data and schema; workflows are rebuilt natively in Crelate.
unstop
Source
Crelate
Destination
Compatibility
7 of 12
objects map 1:1 between unstop and Crelate.
Complexity
BStandard
Timeline
3-5 weeks
Overview
The unstop-to-Crelate migration is a multi-format extraction challenge. Unstop is a pre-employment engagement platform built around users, applications, internships, competitions, hackathons, and timed assessments. Crelate is a recruiter-focused ATS and CRM built around clients, jobs, candidates, applications, placements, and activity records. The two platforms share no common object model, so every object requires a deliberate mapping with transformation logic. Competitions, hackathons, and quiz sessions do not map to a native Crelate object; we store format-specific metadata as custom fields and JSON payloads so the data is preserved and queryable, even if Crelate's native pipeline reporting cannot slice it by competition rank without a custom report. We do not migrate workflows, automations, or candidate-matching rules as code; we deliver a written inventory for your recruiting admin to rebuild in Crelate's workflow builder. Historical activity records migrate via Crelate's REST API with rate-limit handling and chunking, preserving the submission timeline against the correct candidate and job record.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a unstop object lands in Crelate, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
unstop
User (candidate)
Crelate
Candidate
1:1Unstop candidate Users map to Crelate Candidate records. We preserve the unstop candidate ID in a custom field unstop_user_id__c for audit traceability. Education, declared skills, and work-history fields migrate as Crelate custom fields or parsed resume data where available. Unstop's self-registration model means education and employment claims are self-reported; we set an unverified_claims__c flag on the Crelate Candidate record and flag these fields for re-verification during onboarding in Crelate.
unstop
User (recruiter/organization)
Crelate
Client and Contact
1:manyUnstop recruiter Users map to both Crelate Client (organization) and Contact (individual recruiter) records. We use the Unstop organization profile as the Crelate Client source of truth, and individual recruiter email addresses as Contact records linked to that Client. This split ensures Crelate's client management and recruiter accountability structures are populated from day one.
unstop
Job Posting
Crelate
Job
1:1Unstop job postings migrate as Crelate Job records with a 1:1 field mapping: title, description, location, employment_type, and application deadline map directly. Salary_range and remote_policy migrate as Crelate custom fields. The Unstop job ID is preserved in unstop_job_id__c on the Crelate Job record. Application deadline maps to the Crelate job close date field. Active and inactive status is preserved from Unstop.
unstop
Internship
Crelate
Job
1:1Unstop internship records use the same base schema as job postings with the addition of internship-specific fields (duration_in_months, stipend_amount, stipend_currency, work_arrangement). These fields migrate as Crelate custom properties on the Job record, and the job type is set to Internship so that Crelate's pipeline filters can isolate internship postings from full-time roles.
unstop
Competition
Crelate
Job (custom type) + Activity (note)
1:manyUnstop competitions map to a Crelate Job record with a job_type discriminator set to Competition, plus an Activity record containing the competition rules, scoring rubric, and participant enrollment list as structured text. Team membership structures from coding challenges and hackathons are flattened into individual participation Activity records with a parent reference to the Competition Job. Competition format (quiz, coding, case study) is stored in a Crelate custom picklist field. The raw enrollment data migrates as JSON in a custom long-text field to preserve all metadata.
unstop
Hackathon
Crelate
Job (custom type) + Activity (note)
1:manyUnstop hackathon records hold team structures, submission URLs, judging scores, and leaderboard positions. These map to a Crelate Job record with job_type set to Hackathon, and team memberships are flattened into individual participation Activity records with a parent Hackathon reference. Submission URLs, judging scores, and final leaderboard rank migrate as Crelate custom fields on each participation record. Hackathon data is preserved but stored as structured Activity notes rather than as native Crelate pipeline records, since Crelate's native pipeline does not support hackathon-specific stages without custom configuration.
unstop
Scholarship
Crelate
Job (custom type)
1:1Unstop scholarship postings migrate as Crelate Job records with job_type set to Scholarship. Eligibility criteria, award amount, application deadline, and provider organization migrate as Crelate custom fields. Scholarship applicant lists (if exported as application records) migrate as Crelate Application records linked to the Scholarship Job. We note that Crelate's native pipeline does not track scholarship status workflows; any status stages need to be implemented as custom picklist values or as a separate scholarship tracking workflow post-migration.
unstop
Quiz Session
Crelate
Activity (custom score fields)
1:1Unstop quiz session records (start/end timestamps, score, passing status, device) map to Crelate Activity records with custom fields capturing score_value, passing_status, duration_seconds, and assessment_name. Quiz configurations and question banks migrate as a JSON payload in a custom long-text field on the Crelate Candidate record. We validate end_timestamp presence on each quiz session record; sessions where end_timestamp is missing or anomalous (likely crash-affected) are flagged with a score_status discriminator set to unverified for manual admin review before these candidates are advanced in the Crelate pipeline.
unstop
Organization (recruiter)
Crelate
Client
1:1Unstop recruiter organization profiles (company name, logo, description, industry, website) map to Crelate Client records. The organization's unstop domain or company name is used as the dedupe key during import. Any contact details attached to the organization profile migrate as Crelate Contact records linked to the Client. Client records are created before any Candidate import so that Crelate's client-candidate lookup relationship is satisfied at the moment of candidate insert.
unstop
Application Record
Crelate
Application
1:1Unstop application records link a candidate User to a Job, Internship, or Competition and track status (Applied, Shortlisted, Rejected, Withdrawn). These map to Crelate Application records preserving the candidate_id, job_id, application_status, and submission_timestamp. Application status values are mapped to Crelate's application stage picklist. Any score or ranking attached to the application in Unstop migrates as custom fields on the Crelate Application. This object has the most consistent schema between the two platforms, minimizing transformation risk.
unstop
Skills (profile attribute)
Crelate
Tag
lossySkills declared by candidates in Unstop profile registrations migrate as Crelate Tags on the Candidate record. The skill taxonomy from Unstop may be broad (self-reported tags not validated against a structured ontology). We normalize skill entries to lowercase, deduplicate within the candidate record, and set a tag_source discriminator to unstop_profile to identify skills that require verification. The customer's recruiting admin can curate the skill taxonomy in Crelate post-migration to align with their internal skill taxonomy.
unstop
Assessment Configuration
Crelate
Custom Field (JSON payload) + Activity
1:manyUnstop assessment objects store quiz configurations, question banks, time limits, and scoring rubrics. The configuration itself migrates as a JSON payload stored in a custom long-text field on the Crelate Job record (for assessments tied to a specific job) or on the Crelate Candidate record (for standalone assessments). Candidate responses and individual attempt results migrate as Crelate Activity records linked to the Candidate. Score values and pass/fail status populate custom numeric and picklist fields on the Activity for filtering and reporting. This split preserves both the assessment template and the candidate's result without requiring Crelate's native assessment module.
| unstop | Crelate | Compatibility | |
|---|---|---|---|
| User (candidate) | Candidate1:1 | Fully supported | |
| User (recruiter/organization) | Client and Contact1:many | Fully supported | |
| Job Posting | Job1:1 | Fully supported | |
| Internship | Job1:1 | Fully supported | |
| Competition | Job (custom type) + Activity (note)1:many | Fully supported | |
| Hackathon | Job (custom type) + Activity (note)1:many | Fully supported | |
| Scholarship | Job (custom type)1:1 | Fully supported | |
| Quiz Session | Activity (custom score fields)1:1 | Fully supported | |
| Organization (recruiter) | Client1:1 | Fully supported | |
| Application Record | Application1:1 | Fully supported | |
| Skills (profile attribute) | Taglossy | Fully supported | |
| Assessment Configuration | Custom Field (JSON payload) + Activity1:many | Fully supported |
Gotchas + challenges
Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.
unstop gotchas
No public API for programmatic data extraction
Timed quiz sessions lost to app crashes
Candidate profile data quality varies widely
Competition and hackathon data lacks a standard schema
Crelate gotchas
120 req/min API rate limit throttles bulk migrations
20 custom field per-entity cap forces data model decisions
15,000-record export ceiling on single operations
Sequences and automation workflows do not migrate
API key is a querystring parameter, not a header
Pair-specific challenges
Migration approach
Discovery and export scoping
We audit the Unstop account to inventory all object types present: user count (candidates vs recruiters), job postings, internships, active competitions, hackathons, scholarship postings, application records, quiz session volumes, and assessment configurations. We assess data freshness and completeness in the admin dashboard, then initiate a formal data export request with Unstop support. We warn the customer that Unstop's lack of a public API means the extraction phase is the critical path item: if Unstop support delays the export, the overall timeline extends proportionally. The discovery output is a written migration scope document with record counts per object and an estimated export completion date.
Extraction and transformation design
We extract data from Unstop through a combination of admin CSV downloads, negotiated data exports, and structured JSON extraction for competition and hackathon records. We build transformation scripts that handle the multi-format competition schema normalization (coding challenges, quizzes, design contests, case studies each have different metadata structures and scoring systems). We split Unstop Users into Crelate Candidates (candidates) and Crelate Client/Contact records (recruiters). We design the quiz session validation logic that flags crash-affected records with missing end_timestamps and sets the unverified score status. We design the Crelate job type configuration for Hackathon, Competition, and Scholarship discriminators.
Crelate schema configuration
We configure Crelate before any data arrives. This includes creating custom fields for internship duration and stipend, hackathon submission URL and judging score, quiz score value and assessment name, competition format discriminator and participant enrollment JSON, scholarship award amount and eligibility criteria, and the unverified_claims__c flag on Candidate. We configure Tags for skill normalization and set up job type picklist values for Internship, Hackathon, Competition, and Scholarship. We create the Tags taxonomy mapping from Unstop's self-reported skill claims. Crelate schema configuration is validated in a Crelate sandbox or trial org before production migration begins.
Sandbox migration and reconciliation
We run a full migration into a Crelate sandbox or test environment using the extracted Unstop data. The customer's recruiting lead reviews record counts across all object types, spot-checks 25-50 candidate records against Unstop source data for field accuracy, verifies that hackathon participation records and quiz session scores are correctly linked to the right candidate and job, and confirms that competition enrollment lists are intact as Activity records. Any mapping corrections and schema adjustments are made in this phase. We do not proceed to production migration until the sandbox reconciliation is signed off by the customer's recruiting operations lead.
Production migration in dependency order
We run production migration in record-dependency order. Client and recruiter Contact records are created first. Job records (including Internship, Hackathon, Competition, and Scholarship subtypes) are loaded second with the Crelate Job ID preserved in the source mapping table. Candidate records are loaded third, with the unstop_user_id__c and unverified_claims__c fields populated. Application records are loaded fourth, linking candidate to job with application status. Activity records (quiz sessions, assessment results, competition participation notes) are loaded last, linked to the correct Candidate and Job records. Each phase emits a row-count reconciliation report before the next phase begins.
Cutover, delta migration, and automation handoff
We freeze writes to Unstop during the cutover window, run a final delta migration of any records modified during the migration window, then mark Crelate as the system of record. We deliver a written inventory of Unstop automated candidate-matching rules, email triggers, and notification workflows that require rebuilding in Crelate's workflow builder. We provide a written handoff covering the quiz session unverified status list for manual review, the skills taxonomy mapping for re-verification, and the competition and hackathon metadata stored as custom fields for reporting context. We support a one-week hypercare window where we resolve any reconciliation issues. We do not rebuild Unstop automations as Crelate workflows inside the migration scope; that is a separate engagement.
Platform deep dives
unstop
Source
Strengths
Weaknesses
Crelate
Destination
Strengths
Weaknesses
Complexity grading
Standard HRMS migration. 1 of 7 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across unstop and Crelate.
Object compatibility
1 of 7 objects need a mapping; the rest are 1:1.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
7-object category — typical timelines run 2–7 days end-to-end.
API constraints
unstop: Not publicly documented..
Data volume sensitivity
unstop doesn't expose a bulk API — REST + parallelization used for high-volume runs.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
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