Personalize onboarding from relevant signup context
Use permitted professional context to explain the product through examples that are relevant to a new user.
How this works
Use permitted professional context to explain the product through examples that are relevant to a new user. Personalized onboarding works best when it connects a new user's stated job to a real product action. Public professional context can suggest examples, but it does not establish what the user's company actually does internally or which systems they use.
Combine minimal permitted signup context with approved product examples. Draft a short message that offers one relevant first action and asks for clarification when context is weak. Keep personalization explainable and avoid surprising references to unrelated personal information.
Before you start
Activation goal
Define the first useful product action for the intended user segment.
Approved examples
Collect accurate product capabilities and supported setup paths.
Context permission
Identify which signup and professional fields may be used.
Prepare the inputs
- signup_record
- Required
Minimal user-provided fields
Keep necessary role and organization context only.
- stated_use_case
- Required
Optional text
Treat missing intent as unknown.
- product_examples
- Required
Approved scenarios
Verify each action exists in the current product.
- onboarding_rules
- Required
Tone and delivery policy
Distinguish draft creation from sending.
- context_sources
- Required
Permitted references
Label public-page observations as partial and unverified.
Implementation, step by step
Identify the user's stated goal
- Read signup answers before using external context.
- Distinguish explicit needs from assumptions based on a role or company website.
Checkpoint: A concise context record.
Choose a relevant first action
- Match the goal to an approved product example with realistic required inputs.
- Avoid suggesting advanced configuration before basic access is established.
Checkpoint: A bounded activation suggestion.
Prepare the message
- Explain the useful result and the first few actions in plain language.
- Use conditional phrasing when fit is inferred and ask one focused question if needed.
Checkpoint: A short onboarding draft.
Check personalization quality
- Verify every personal or company reference comes from permitted relevant context.
- Remove details that do not help the user complete the first action.
Checkpoint: A factual and proportionate message.
Prepare delivery
- Use an available authorized messaging draft or deliver a text file for the owner.
- Record version and recipient mapping without claiming delivery from draft creation.
Checkpoint: A ready-to-send onboarding item.
Evaluate usefulness
- Compare activation and support questions under consistent definitions.
- Use feedback to improve examples rather than infer hidden user characteristics.
Checkpoint: A reviewed onboarding learning note.
Decisions along the way
Use case is missing
Offer a small choice of relevant goals instead of inventing one.
Public page suggests a process
Phrase fit conditionally and attribute the observation to the page.
Suggested feature is unavailable on the user's plan
Choose an accessible alternative or explain the requirement.
What you will produce
onboarding-draft.md
MarkdownGives the owner a reviewable personalized message.
Include: context_basis · first_action · message · open_question
onboarding-record.json
JSONSupports measured follow-up.
Include: signup_id · example_id · version · delivery_status · activation_status
Check the result
- Verify product steps against current approved guidance.
- Check inferred context is not stated as fact.
- Confirm recipient mapping and feature access.
- Measure activation separately from message opens.
When something goes wrong
Enrichment finds the wrong organization
Discard it and use signup information only.
The draft references a nonexistent capability
Replace it with an approved example.
Delivery status is unknown
Check the existing receipt before retrying.
A worked example
SYNTHETIC EXAMPLE · NOT A REPORTED BUSINESS RESULT
Request
Draft onboarding for a user who says they review support tickets.
Inputs
Synthetic example. Synthetic signup states support operations; the product supports tagging and summaries but not autonomous refunds.
Expected result
Synthetic expected result. Suggest importing a small ticket sample and reviewing tags. Do not promise automatic refunds or claim the user's team already follows a particular triage process.
Run a small pilot
Start small
A small signup cohort with stated use cases.
Record the baseline
Record manual drafting effort and first-action completion.
Agree success criteria
Agree relevance and factual-accuracy criteria before increasing automation.
Stop or revise
Stop sending when recipient or product-access mapping is unreliable.
Keep the scope clear
- Use context to explain relevant work, not to profile personal traits.
- Creating an onboarding draft does not authorize unsolicited follow-up.
Check before using
Avoid intrusive enrichment and unsupported personal inferences. Respect consent and do not invent a relationship with the recipient.
Business activities
- Onboard customers, partners, and members
FROM A RECIPE TO YOUR WORKFLOW
Bring the company context together.
This workflow needs reliable inputs before it needs a better prompt. Moat8 Vault brings working information into a readable archive for the AI tools you use.
For this recipe: Signup information · Approved company or professional context · Relevant product use cases
Start with one recurring task, agree which sources to use, and review the first result with your team.
Discuss this workflow