Almost every Indian company's privacy policy was assembled from a template, and almost none of them accurately describe what the product does. They over-promise in some places and are silent in others, and both are problems now rather than merely untidy — under the DPDP framework, the notice you give is the basis on which you are permitted to process data, and a notice describing a different product does not authorise what you are actually doing.
The right way to write one is backwards from the system rather than forwards from a template. List every piece of personal data you collect, including the ones nobody thinks of as collection: the IP address in your access logs, the device identifier your analytics assigns, the recording your support tool makes, the email content your CRM stores. For each, note why you collect it, how long you keep it, who else receives it, and what the person can do about it. That table is the policy; the prose is a rendering of it.
Where the exercise usually gets uncomfortable is retention. Most products have no retention policy, they simply have storage, and the honest answer to how long do you keep this is indefinitely because nobody wrote anything to delete it. You can either write a policy that says that, which customers and regulators will notice, or you can build the deletion and then describe it. The second is more work and it is the only one that improves your position.
Be specific about who else gets the data, because vagueness is what people object to. A line about sharing with trusted partners tells a reader nothing and signals evasion. A named list — cloud hosting, payment processing, email delivery, error monitoring, and who each provider is — is more honest and, in our experience, generates fewer questions rather than more. Enterprise buyers ask for this list anyway, so publishing it saves work.
Then make the rights actually work. A policy stating that users may request access, correction or erasure creates an obligation you must be able to meet, on a timeline, including in the systems that are awkward — the analytics warehouse, the backups, the support tickets, the log files. If you cannot currently produce everything you hold about one person, or delete it on request, then the policy is describing a capability rather than reporting one, and the first request will expose that.
Finally, keep it synchronised with the product. A policy is a snapshot that ages the moment a team adds an integration or a new data field, and nobody updates it because nobody owns it. Attach the review to something that already happens — a quarterly cycle, or a checklist item on any change that adds a third-party service — and give it one named owner. An accurate policy is not a legal document you commission once; it is a description of a system, and descriptions have to be maintained.
