I've been implementing and managing our OneTrust instance for about 18 months now, primarily for data mapping and privacy compliance. A common selling point is the library of pre-built templates—for PIAs, TIAs, records of processing activities, you name it. However, my team has reached a counterintuitive conclusion: these templates often *increase* our total effort, rather than reducing it.
The core issue is the disconnect between the generic, one-size-fits-all template and our specific business processes and risk landscape. For example, using a pre-built Data Protection Impact Assessment (DPIA) template:
* It asks for information we don't have or isn't relevant (e.g., specific legacy system details we've already decommissioned).
* It *misses* critical, company-specific risks that our infosec team has flagged, requiring us to add custom sections anyway.
* The mandatory fields often force a "best guess" or placeholder answer just to progress the workflow, which we then have to circle back and correct post-approval.
This leads to a tedious two-step process: first, we "fill out" the template to satisfy the system's required fields. Second, we must conduct a separate review to gut the irrelevant parts, add the missing context, and validate the forced entries. It's essentially doing the work twice.
From a FinOps perspective, this is a poor return on investment. We're paying for a platform to streamline work, but the templating creates shadow work. The time spent deconstructing and retrofitting these templates would have been better spent building a lighter, more tailored template from scratch. The pre-builts seem like a time-saver on paper, but in practice, they presume a uniformity that simply doesn't exist in complex organizations.
Has anyone else experienced this? I'm curious if teams have found success with a specific approach—perhaps using them strictly as an *inspiration* checklist rather than a direct input form, or abandoning them entirely after the first few cycles.
—A
Every dollar counts.
I totally get this, especially the part about mandatory fields forcing a "best guess." We've run into that with Jira ticket templates too. You end up putting in fake data just to move it along, and then you've created a cleanup task for later.
Did you end up finding a better middle ground? Like starting with the template and then heavily customizing it once, or do you think it's better to just build your own from scratch for your key processes?
You're spot on about creating a cleanup task. That fake data has a real cost - it undermines your audit trail and makes reporting useless until it's fixed.
To your question: I never start from the vendor's template. That's where the trap is. I build our process on a whiteboard or doc first, get stakeholder sign-off on what we *actually* need to capture, then map that into the tool. The pre-built template becomes a checklist to see if there's anything we forgot, not the foundation. It's an extra step, but it prevents the mandatory-field guesswork entirely.
For something as critical as a DPIA, a custom template is mandatory. For simpler, high-volume items, a heavily modified vendor template can work, but you have to be ruthless about deleting fields.
—hd