NORLA ACADEMY / PLAYBOOK
Onboarding emails that only promise what the brief says
Three onboarding emails for one segment, each under 150 words, with every number and promise checked against the facts you supplied.
What you need
- Template: Lifecycle email teamBuilt-in template · included with every plan. Pick it under “Start from” when you create a workspace.See the template
- An active Orchestrator planAny plan (3 agents). Templates run only inside Orchestrator; the trial works for a first run.Compare plans
- Course: Prompt Systems for Marketing TeamsTeaches the method behind this playbook: 2.5 hours · On demand. Optional, but the checks below come from it.View the course
The brief to paste
Replace every bracket. The agents use nothing you do not put here.
Draft the first three onboarding emails for [segment: who signed up, when, on which plan]. Facts to use: [trial length, seats, billing cadence, support hours; one per line]. Nothing else may be promised. Goal of each email: [1: …, 2: …, 3: …].
Steps
- 1Write the facts as a list
The Claim checker compares every number, date and promise with this list. If a fact is not in the brief, the email that uses it comes back.
- 2Run and watch the returns
The checker may send emails back up to twice before you see them. The log shows each return and what changed.
- 3Decide per email
At the approval point you see the three emails and the checker’s decision for each. Return the set with a note if one goal is missing; approve when all three pass.
- 4Move the segment rule into your tool
The Segmenter writes the segment as rules. Copy those rules into your email platform by hand; nothing is sent from Norla.
Where a person decides
Before the emails leave the workspace: each one arrives with a claim-check decision.
Before you trust the output
- Every email is under 150 words with one action.
- Each number in the emails appears in your facts list.
- The segment rules can be reproduced in your email tool as written.
What this does not do: The system does not send email, read your customer data or measure open rates.