HRMS migration

Migrate from unstop to Crelate

Field-level mapping, validation, and rollback between unstop and Crelate. We move data and schema; workflows are rebuilt natively in Crelate.

unstop logo

unstop

Source

Crelate

Destination

Crelate logo

Compatibility

58%

7 of 12

objects map 1:1 between unstop and Crelate.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

unstop logo

unstop

What's pushing teams away

  • Persistent mobile app crashes and slow page load times, especially during timed quiz sessions, create a poor candidate experience that reflects poorly on the recruiting organization.
  • Technical performance issues cause assessment submissions to be lost or unrecorded, leading to disputes about candidate scores and fairness.
  • Recruiters report that the volume of low-quality or unverified candidate profiles dilutes the talent pool and increases screening workload.
  • Limited advanced filtering and Boolean search capabilities make it difficult to narrow down candidates beyond basic interest-based sorting.

Choosing

Crelate logo

Crelate

What's pulling them in

  • Affordable per-seat pricing with transparent tiers makes Crelate accessible for small-to-mid staffing firms evaluating ATS platforms for the first time.
  • Fast implementation reported by customers—some describe getting live in a matter of minutes with support team assistance.
  • Unified ATS + CRM in a single product eliminates the need to buy and synchronize separate recruiting and sales tools.
  • Flexible custom fields across Contacts, Companies, and Opportunities allow recruiting teams to capture firm-specific data without developer involvement.
  • Positive reviews highlight the product's intuitive interface and functional breadth for teams that need recruiting workflows without enterprise overhead.

Object mapping

How unstop objects map to Crelate

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)

maps to

Crelate

Candidate

1:1
Fully supported

Unstop 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)

maps to

Crelate

Client and Contact

1:many
Fully supported

Unstop 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

maps to

Crelate

Job

1:1
Fully supported

Unstop 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

maps to

Crelate

Job

1:1
Fully supported

Unstop 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

maps to

Crelate

Job (custom type) + Activity (note)

1:many
Fully supported

Unstop 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

maps to

Crelate

Job (custom type) + Activity (note)

1:many
Fully supported

Unstop 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

maps to

Crelate

Job (custom type)

1:1
Fully supported

Unstop 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

maps to

Crelate

Activity (custom score fields)

1:1
Fully supported

Unstop 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)

maps to

Crelate

Client

1:1
Fully supported

Unstop 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

maps to

Crelate

Application

1:1
Fully supported

Unstop 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)

maps to

Crelate

Tag

lossy
Fully supported

Skills 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

maps to

Crelate

Custom Field (JSON payload) + Activity

1:many
Fully supported

Unstop 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.

Gotchas + challenges

What specifically takes care here

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 logo

unstop gotchas

High

No public API for programmatic data extraction

High

Timed quiz sessions lost to app crashes

Medium

Candidate profile data quality varies widely

Medium

Competition and hackathon data lacks a standard schema

Crelate logo

Crelate gotchas

High

120 req/min API rate limit throttles bulk migrations

High

20 custom field per-entity cap forces data model decisions

Medium

15,000-record export ceiling on single operations

Medium

Sequences and automation workflows do not migrate

Low

API key is a querystring parameter, not a header

Pair-specific challenges

  • Missing API requires manual extraction before migration

    Unstop does not publish a documented REST API for bulk export of users, applications, assessments, or competition results. Every migration from unstop must begin with manual CSV downloads from the admin dashboard, coordinated data requests through Unstop support, or screen-scraped extraction where automated export is unavailable. We warn customers that partial or delayed data exports extend project timelines and may result in incomplete historical records. We negotiate directly with Unstop account management to request a full data export file before beginning any transformation work. If a formal export is not available within the project timeline, we proceed with manual extraction and flag any records that could not be retrieved.

  • Quiz session records affected by app crashes carry unreliable timestamps and scores

    Unstop's mobile app crashes during timed quiz sessions, resulting in incomplete server-side records. G2 reviews document that submission timestamps and score values are often missing or anomalous for crash-affected sessions. We validate end_timestamp presence and score completeness on every quiz session record before import into Crelate. Records where end_timestamp is missing or score metadata is incomplete are flagged with a score_status discriminator set to unverified and excluded from automated pipeline advancement. These records require manual review against any locally cached screenshots the customer can provide before Crelate candidates are moved to a later pipeline stage.

  • Candidate profile data quality requires re-verification in Crelate

    Unstop's open self-service registration model means candidate education claims, employment history, and skill declarations are self-reported and unverified. During migration scoping, we establish with the customer which profile fields should be treated as trusted data versus self-reported data requiring re-verification in Crelate. We set an unverified_claims__c flag on migrated Candidate records for fields that originate as unverified self-assertions and recommend the customer's recruiting team configure a re-verification workflow in Crelate's workflow builder post-migration. This step is particularly important for organizations that hire from unstop for regulated industries where credential verification is mandatory.

Migration approach

Six steps for a successful unstop to Crelate data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

unstop logo

unstop

Source

Strengths

  • Comprehensive pre-employment opportunity listings including internships, jobs, competitions, hackathons, and scholarships.
  • Integrated timed quiz and assessment engine with leaderboard scoring for competitive hiring formats.
  • High-volume Indian student and entry-level talent reach with 5+ million monthly site visits.
  • Automated candidate matching and notification system based on declared interests and profile attributes.

Weaknesses

  • No publicly documented REST API for bulk data export, requiring manual or screen-scraped extraction.
  • Frequent mobile app crashes and performance degradation during high-stakes timed assessments.
  • Limited advanced candidate filtering and search beyond basic interest-based sorting.
  • Recruiter-side analytics and reporting are basic compared to enterprise ATS platforms.
Crelate logo

Crelate

Destination

Strengths

  • Unified ATS and CRM in a single platform reduces data synchronization overhead for recruiting teams.
  • Fast setup with guided implementation reported as a significant time saver for small teams.
  • Transparent per-seat pricing without surprise fees at the base tier.
  • Flexible custom field configuration across core objects without developer dependency.
  • Export capability supports up to 15,000 records per operation for Contacts, Companies, and Opportunities.

Weaknesses

  • API rate limit of 120 requests per minute restricts bulk migration throughput.
  • Custom field cap of 20 per entity requires field consolidation for complex recruiting schemas.
  • All advanced features (Activities, Activity Forms, Core Record Field customization) are tier-gated add-ons.
  • Customer service responsiveness receives consistent negative feedback in reviews.
  • Resume parsing quality trails competitors and generates support requests.

Complexity grading

How hard is this migration?

Standard HRMS migration. 1 of 7 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across unstop and Crelate.

  • Object compatibility

    B

    1 of 7 objects need a mapping; the rest are 1:1.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    7-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    unstop: Not publicly documented..

  • Data volume sensitivity

    B

    unstop doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your unstop to Crelate migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about unstop to Crelate data migrations

Answers to the questions buyers ask most during unstop to Crelate migration scoping. Not seeing yours? Book a call.

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Typical timelines land between three and five weeks for migrations with fewer than 10,000 candidate records, up to 500 job postings, and no complex hackathon or multi-format competition data requiring schema normalization. Unstop's lack of a public API means extraction is the critical path: manual CSV downloads and any support-negotiated exports can extend the timeline to five to seven weeks if export access is delayed. Crelate's own migration process (schema configuration, sandbox validation, production load) takes one to three weeks once the extracted data is in hand, which aligns with Crelate's own published guidance of one to three weeks for standard ATS data migrations.

Adjacent paths

Related migrations to explore

Ready when you are

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