DPDP Compliance for HR Tech Platforms
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DPDP Action Sheet
Use this before your next workflow goes live. It keeps the useful parts visible and turns DPDP into checks your team can actually answer.
For DPDP Compliance for HR Tech Platforms, the DPDP question is how personal data enters the workflow, where it is stored, which tools touch it, what purpose was explained, and how deletion or withdrawal will work.
1. Lead Forms
Check:
- What data are you collecting?
- Is the purpose clear at the point of collection?
- Is marketing consent separate from service communication?
- Can the user withdraw consent later?
Common mistake: one checkbox that silently covers newsletters, sales calls, partner sharing and remarketing.
2. Email and WhatsApp
Check:
- Who is on the list?
- Where did consent come from?
- Is the list imported from a vendor, event, webinar, scrape or old CRM?
- Can you prove the source of consent?
Common mistake: treating every lead as permanently marketable.
3. Ads and Retargeting
Check:
- Are pixels or ad platforms receiving identifiable user behavior?
- Are audiences built from customer lists?
- Are lookalike or remarketing audiences using personal data?
Common mistake: assuming "the ad platform handles it" means your company has no DPDP responsibility.
4. Website Analytics
Check:
- Which tools run on the site?
- Are IP address, device identifiers, session IDs or form fields being captured?
- Is analytics used only for measurement, or also for profiling and targeting?
Common mistake: installing tools first and asking privacy questions later.
5. Vendor List
Make a quick list:
- CRM
- Email platform
- WhatsApp provider
- Analytics
- Ad pixels
- Form tool
- Landing page builder
- Webinar tool
For each vendor, answer: what data goes there, why, who can access it and how deletion works.
6. This Week's Action
Map one campaign from first click to final follow-up. Mark every place personal data is collected, enriched, shared, uploaded or used for targeting.
If your team cannot answer where the data came from and where it goes next, start with a data flow map before rewriting policy copy.
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Managing Candidate Talent Pools
HR Tech platforms often store resumes for years to build “talent pools.” Under DPDP, you must set a fixed expiration date for every candidate profile. If a candidate applied for a specific “Sales Manager” role in 2023 and was rejected, you cannot keep their data indefinitely for a “Marketing” role in 2025 without a separate consent record for long-term storage.
Downstream Data Sharing
Your platform likely sends employee data to insurance providers, background check vendors, and payroll APIs. You must map every external API call to ensure data only flows to these partners for the exact service the employee signed up for. If you share health data with an insurance provider, that provider cannot use it to market other financial products to the employee.
| Workflow | Personal Data Involved | DPDP Risk |
|---|---|---|
| Background Checks | Education history, criminal records | Processing data via unvetted third-party agencies |
| Benefits Enrollment | Family medical history, age, gender | Sharing health data with unauthorized marketing partners |
| Payroll Processing | PAN, bank account numbers, salary | Retaining financial records longer than tax laws require |
| Psychometric Testing | Personality traits, mental health scores | Using candidate scores to train internal AI models |
The Retention Conflict
Most HR platforms promise employers “lifetime access” to applicant history. DPDP creates a conflict here because data must be deleted once the “purpose” is served. When a job vacancy is filled, the purpose for collecting the other 500 resumes ends. You must now build automated triggers to purge or anonymize candidate data once a hiring cycle closes.
This week
Audit your database for “Ghost Profiles”—candidates who have not logged in or been contacted in over 24 months. Create a technical requirement for your developers to add an “Auto-Delete” toggle that triggers 12 months after a candidate’s last active application.
Now think about your work. Where does personal data enter your workflows? Where does it sit? Who else touches it?
Frequently asked questions
Can we use employee performance data to train our platform's recommendation AI?
You can only do this if the data is fully anonymized so it cannot be linked back to a specific individual. If the AI uses identifiable names or unique IDs to learn, you need specific consent from every employee.
What happens if an employee leaves the company and asks to be forgotten?
You must delete their optional data, like profile photos or hobby interests. However, you can legally keep their tax, salary, and attendance records for the duration required by Indian labor and tax laws.
Are we responsible if an employer-user exports data from our platform and leaks it?
You must provide tools that limit data exports, such as "View Only" permissions or masked phone numbers. Your contracts must clearly state that the employer becomes the sole responsible party once the data is moved out of your secure environment.