What this service is

Compliance checklists for data processing (basic) is a structured service that turns your privacy obligations into repeatable operational checklists your team can actually run. Instead of a one-time policy update, you get a practical compliance layer for everyday decisions: onboarding a new vendor, launching a new feature, adding a new tracking pixel, responding to a data request, or handling an incident.

This service is designed to deliver:

• a clear “what to check” system for common data-processing events

• role-based checklists (product, marketing, ops, HR, legal)

• a lightweight evidence and recordkeeping pack (audit-ready, maintainable)

• standard templates for vendor intake and data-sharing approvals

• a change-management workflow that prevents compliance drift over time

Who this is for

This service is a fit if you are:

• a SaaS, app, marketplace, or e-commerce business with frequent product and marketing changes

• onboarding vendors regularly (analytics, ads, CRM, support, payments)

• answering enterprise privacy/security questionnaires and need consistency

• operating with a small team where privacy must be “simple and runnable”

• expanding across states or internationally and want a disciplined baseline

• dealing with internal confusion about what data can be collected, shared, or retained

What “basic” means in practice

“Basic” means we focus on high-impact operational controls that cover the majority of real-world risk:

• what data is collected and why (purpose discipline)

• where data goes (vendor and sharing discipline)

• how long it is kept (retention discipline)

• who can access it (access control basics)

• what happens when things change (change management)

• how to respond when requested (consumer requests workflow)

Key principle: the best outcome is not “more documents.” The best outcome is repeatable compliance behaviour supported by checklists and simple approvals.

What we deliver: core checklist set

We build a checklist library you can use across teams. A typical set includes:

1) Data processing inventory checklist

Used to maintain a living view of your processing activities:

• data categories collected

• sources and collection points

• purposes and legal/contract posture (high level)

• recipients (vendors, partners, affiliates)

• storage locations and access roles

• retention period and deletion method

• security posture notes (basic)

2) New feature / product change checklist

Used before releasing product changes:

• does the feature collect new personal data categories?

• does it change purpose of existing data?

• does it introduce sensitive data or identity documents?

• does it create new sharing or new access roles?

• does it require updated notices or user controls?

• does it require vendor changes or new subprocessors?

• retention impacts and deletion posture

• logging/telemetry: is it necessary and minimised?

3) Marketing and tracking checklist (cookies/pixels)

Used before adding or changing tracking:

• what tools are being added (analytics, ads, tag manager)

• what data is sent and to whom

• whether sharing posture changes (service provider vs third-party)

• whether opt-out or consent logic is impacted (implementation checklist)

• how tracking is disclosed in notices

• evidence of configuration (screenshots/settings record)

4) Vendor onboarding checklist (privacy + security)

Used before approving any vendor that touches personal data:

• vendor purpose and necessity (data minimisation)

• data categories shared and transfer method

• vendor role posture (service provider/processor vs third party)

• contract requirements:

  • DPA/addendum needed?

  • security measures, breach notice timing

  • subprocessor disclosures

  • deletion/return at termination

• access control and user permissions

• cross-border processing posture (if relevant)

• internal owner and renewal review schedule

5) Data-sharing approval checklist (partners/affiliates)

Used when data is shared outside your vendor stack:

• what is shared and why

• whether the recipient can use data for its own purposes

• whether sharing triggers opt-out expectations

• contract posture and restrictions

• notice alignment and customer-facing disclosure check

• internal approval and evidence retention

6) Data subject request checklist (consumer request workflow)

Used to handle access/deletion/correction requests consistently:

• request intake channel and verification posture

• scope of systems to search (inventory-driven)

• response timeline discipline (tracked)

• exceptions posture (basic)

• confirmation record and audit log

• vendor propagation (where data must be deleted downstream)

7) Incident response checklist (first 24–72 hours)

Used when something goes wrong:

• containment and access lock-down steps (operational)

• evidence preservation and internal communications control

• vendor notifications and forensic support posture

• customer and counterparty notification decision tree (basic)

• recordkeeping: what happened, when, and who decided what

• improvement actions and follow-up tracking

8) Retention and deletion checklist

Used to prevent “keep everything forever” exposure:

• retention schedule by data category (high level)

• deletion triggers and ownership assignment

• backup retention posture (basic)

• vendor deletion confirmation posture (where possible)

• quarterly review routine

Benefits of compliance checklists for data processing

• Less compliance drift: changes are reviewed before they go live

• Faster execution: teams know what to do without legal bottlenecks

• Lower vendor risk: consistent onboarding reduces hidden exposure

• Better audit readiness: evidence and approvals are documented

• Reduced privacy exposure: data minimisation and retention discipline

• Enterprise readiness: consistent questionnaire answers and workflows

What you typically receive

A typical “checklists” package includes:

• checklist library (editable format) tailored to your tools and structure

• a short internal policy: “how to use the checklists” (owners, approvals, timing)

• recordkeeping pack (templates for evidence capture and approvals)

• vendor intake form + DPA trigger guide (basic)

• change-management workflow (who approves what and when)

• quarterly review plan (lightweight and maintainable)

Service workflow

1) Intake and tool stack mapping

We gather:

• your systems and vendors (CRM, analytics, email, support, payments)

• your product and marketing change cadence

• who in your team owns product, marketing, ops, and IT

• current policies and any existing compliance processes

Outcome: checklist tailoring plan and ownership assignment.

2) Checklist build and alignment

We produce:

• full checklist set mapped to your workflows

• approval triggers and evidence retention rules

• integration guidance (how to run this in tickets/Asana/Jira/Notion)

3) Rollout support (optional)

We support:

• internal rollout instructions (who uses what checklist)

• a pilot run on 1–2 upcoming changes or vendor onboardings

• final refinements for your team’s reality

Typical premium pricing

Pricing depends on number of teams, vendors, and whether you want implementation support.

• Core checklist library (single-product business): $6,500–$22,000+

• Checklist library + vendor intake pack + recordkeeping templates: $12,500–$45,000+

• Multi-team, multi-product group checklists + rollout support: $25,000–$125,000+

• High complexity (heavy adtech, regulated data, many systems): $45,000–$175,000+

• Ongoing compliance operations support (monthly): $7,500–$45,000+ / month

Third-party tooling costs and specialist partner support (if needed) are not included unless agreed.

Frequently asked questions

1. Are checklists really enough for compliance?
   They are not a substitute for laws, but they are the difference between “we have a policy” and “we actually operate compliantly.” They create repeatable behaviour and defensible records.

2. Who should own these checklists internally?
   Usually product, marketing, and ops each own their version, with one compliance owner coordinating approvals.

3. Can we use these in Jira/Asana/Notion?
   Yes. We design the checklists to fit ticketing workflows and approvals so they are run consistently.

4. What’s the biggest cause of privacy failures?
   Untracked changes: new vendors, new tracking, new data categories, and unclear access permissions. Checklists directly address this.

5. Do these checklists cover California privacy expectations?
   They can. We align checklists to the operational controls that support California-style readiness (vendor discipline, opt-out posture, notices alignment).

6. Will this slow down product releases?
   Not if designed correctly. The checklists are intended to be quick and predictable, and most items become a routine “yes/no” review.

7. What if we already have internal checklists?
   We can audit, simplify, and align them to your vendor stack and data map so they become defensible and consistent.

8. What do you need from us to start?
   Your vendor list, how your team ships changes (workflow), and who owns product/marketing/ops decisions.

Why businesses choose Yudey

• Operational focus: compliance that teams can actually run

• Vendor discipline: consistent onboarding and DPA triggers

• Change control: prevents drift when marketing/product evolves

• Audit-ready records: approvals and evidence captured cleanly

• Enterprise readiness: supports consistent questionnaire responses

• Premium deliverables: clear, editable checklists and templates

Request compliance checklists for data processing

Send: your vendor/tool stack, how you ship product/marketing changes, and who owns approvals. We will deliver a tailored checklist library with recordkeeping templates and a simple change-management workflow.