Decision inputs
Facts that change the policy answer
The request sits in product and design and connects event streams, account attributes and feature definitions with behaviour patterns and product opportunities. That context distinguishes it from a generic permission to use AI.
- 1Task and owner
- Product analyst wants to analyse product telemetry. Name who owns the finished behaviour patterns and product opportunities; ownership should not disappear because AI helped produce it.
- 2Information involved
- Event streams, account attributes and feature definitions. Look beyond pasted text: files, integrations and retrieval connections can expose the same material.
- 3Tool and account
- An approved company account. Treat a new plug-in or connector as a change to the approved setup.
- 4Intended result
- The expected result is behaviour patterns and product opportunities. The policy needs to know what happens after generation, including publication, communication and automated use.
- 5Consequence if it is wrong
- Fine-grained activity can become user monitoring or expose small accounts. That risk sets the level of review and the person who should receive an exception.
- 6Human review
- product analytics and privacy owners should inspect, change, reject or stop the result. Their role should include checking source facts, correcting errors and refusing the proposed use.
Possible policy routes
The task name alone cannot decide it.
A published workplace policy can return different answers for the same task. These are the practical branches worth encoding.
A routine policy route may be possible
A routine route is easier to justify when the exact account is approved, only the minimum customer usage information is used, behaviour patterns and product opportunities remains within the stated purpose, and product analytics and privacy owners reviews it before use.
Approval may be required
Specialist approval becomes relevant if the account or data handling is uncertain, fine-grained activity can become user monitoring or expose small accounts, or behaviour patterns and product opportunities reaches people or systems beyond the requester’s authority.
The request may need to stop or change
A stop or redesign route becomes relevant if restricted information would enter an unapproved service, the output would act before product analytics and privacy owners can intervene, or aggregate where possible and define a clear product-improvement purpose cannot be maintained. Consider less information, a controlled account or a non-AI process.
Request checklist
Questions to ask before using the tool
- 01
Will analyse product telemetry run inside the approved company environment from start to finish?
- 02
Can any personal, sensitive, confidential or secret part of event streams, account attributes and feature definitions be removed?
- 03
Does behaviour patterns and product opportunities create an external statement, a decision or an automated action?
- 04
Does product analytics and privacy owners have enough authority and time to stop the result?
- 05
Which change in tool, data, purpose or impact would require a fresh request?
Worked request
What the employee should submit
This example supplies decision facts without pasting the underlying material into the approval record.
- requester
- product analyst
- task
- Use AI to analyse product telemetry.
- information
- event streams, account attributes and feature definitions
- tool
- An approved company account
- frequency
- Recurring work
- region
- Where the work and affected people are located
- purpose
- Analyse
- impact
- Internal work
- review
- Complete human review
- owner
- product analytics and privacy owners
Useful safeguards
Controls that fit this request
- ✓
Aggregate where possible and define a clear product-improvement purpose
- ✓
Separate source material from the request record and expose only what the tool needs for behaviour patterns and product opportunities.
- ✓
Treat a new purpose, region, data source or recipient as a new request rather than silently extending this one.
- ✓
Record the request and reviewer without copying unnecessary parts of event streams, account attributes and feature definitions into the audit trail.
Questions people ask
About this AI use
Is using AI to analyse product telemetry automatically allowed?
The company policy supplies the answer after it receives the real tool, data, purpose, impact and review plan. This page only prepares those facts.
Which facts should be submitted before work begins?
Describe behaviour patterns and product opportunities, identify event streams, account attributes and feature definitions, name the exact tool and account, explain who will receive or rely on the output, and state how product analytics and privacy owners will review it.
How should a later reviewer understand this decision?
Record the request and reviewer without copying unnecessary parts of event streams, account attributes and feature definitions into the audit trail. A classification and controlled reference may be enough when copying event streams, account attributes and feature definitions would create unnecessary risk.