Privacy-by-Design Review for New Features
GDPR's privacy-by-design principle requires data protection to be considered at the point a feature is designed, not bolted on afterward, but in practice, a privacy review often happens, if it happens at all, right before launch when the feature is already built, at which point flagging a real problem, unnecessary data collection, a processing purpose without a clear legal basis, means either delaying a launch the business has already committed to, or shipping with a known gap because it's too late to redesign. By the time privacy review is a pre-launch gate rather than a design-stage input, it's structurally set up to be either ignored under deadline pressure or to become the team everyone resents for blocking launches at the last minute.
STARTING PRICE
From €299
Standard tier · Multi-step workflow with AI extraction/decisioning and 2-3 integrations.
Get a quote →Saves roughly 4-8 hrs per feature reviewed, plus avoided late-stage rework or DPIA scrambles that delay launches.
How the automation works
We build a privacy-by-design review that runs at the product spec stage, before development starts, using a structured checklist covering data minimization, purpose limitation, legal basis, and retention, applied to the feature spec itself rather than the finished build. This surfaces privacy considerations while the feature can still be redesigned cheaply, a data field that isn't actually necessary for the stated purpose gets caught and removed from the spec, not discovered as a gap during a pre-launch review when removing it means reworking shipped code. Reviews that surface a genuine risk needing deeper assessment, likely to require a DPIA, are flagged early enough that the DPIA can run in parallel with development rather than becoming a launch blocker discovered too late to accommodate.
Process flow
- 01
Feature spec submitted at design stage trigger
A new feature or product spec involving personal data is submitted for privacy-by-design review before development begins, not after the feature is built.
- 02
Apply structured privacy-by-design checklist ai
The spec is checked against a structured checklist covering data minimization, purpose limitation, legal basis, and retention, applied to what's proposed, not what's already built.
- 03
Flag unnecessary data collection ai
Data fields or processing proposed in the spec that aren't clearly necessary for the stated purpose are flagged for the product team to justify or remove, while the spec can still be changed cheaply.
- 04
Flag DPIA-triggering risk early output
Features likely to require a full DPIA based on their risk profile, new tracking technology, large-scale profiling, are flagged early so the DPIA can run in parallel with development, not discovered as a launch blocker.
- 05
Deliver review outcome to product and privacy teams output
Review findings, required changes, and any DPIA trigger, are delivered to both the product team and your privacy function, with sign-off required before development proceeds on flagged items.
Inputs
- Feature/product spec at design stage
- Data minimization and purpose limitation criteria
- Current legal bases available for relevant processing
- Privacy function contact for review sign-off
Outputs
- Privacy-by-design checklist review results
- Unnecessary data collection flags with product team response
- DPIA trigger assessment
- Review sign-off record before development proceeds
Works with
Prefer a fully custom build instead of an off-the-shelf integration? We scope both options during your free consultation — most jobs like this one work fine on standard connectors, but higher-volume or non-standard systems sometimes need bespoke API work, reflected in the complex tier.
Where this goes wrong if you get it wrong
- A privacy review conducted right before launch, when the feature is already built, structurally cannot influence the design decisions that actually determine privacy risk, data fields collected, retention periods, legal basis, it can only catch problems too late to fix cheaply, which is precisely why privacy-by-design requires the review to happen at the spec stage, not as a pre-launch gate.
- Flagging unnecessary data collection is only useful if it happens before the field is built into the data model and application logic, once a field is live and potentially already being populated, removing it becomes a migration and cleanup project rather than a one-line spec edit, which is the entire cost difference this early-stage review is designed to capture.
- A feature that turns out to need a full DPIA discovered only during a pre-launch privacy review creates a direct conflict between the DPIA's thoroughness requirement and a launch date that's already been committed to publicly or internally, whereas catching the DPIA trigger at the spec stage allows the assessment to run in parallel with development instead of blocking it entirely at the end.
- A privacy-by-design checklist that becomes a rubber-stamp exercise, checked as complete without genuine engagement from the product team on why a piece of data collection is or isn't necessary, defeats its own purpose, the review needs the product team's actual reasoning captured, not just a checkbox confirming the checklist was run.
Frequently asked questions
When in the development process does this review happen?
At the product spec stage, before development starts, specifically so any flagged issue can be addressed by changing the spec rather than reworking already-built code.
Does this replace a full DPIA when one is required?
No, it identifies early when a feature is likely to require a full DPIA based on its risk profile, so that DPIA can be scoped and run in parallel with development, rather than replacing the DPIA process itself.
What happens when the review flags data collection as unnecessary?
It goes back to the product team to either justify the specific need or remove it from the spec, with your privacy function's sign-off required before development proceeds on that part of the feature.
Does this slow down feature development?
It's designed to avoid slowing things down at the point where delay is most costly, launch, by surfacing issues early when they're cheap to address in the spec rather than requiring rework after the feature is already built.