Playbook

Write Product Updates emails in 2 minutes using Team-GPT

Connect your release notes to Team-GPT and generate on-brand product update emails.

Step 1: Set up your Project knowledge

Project knowledge is Team-GPT's memory system for your project. It's a shared brain where you store information you want the AI to remember and use in every chat within the project.

For product update emails, add these items to your project knowledge:

Project information and instructions
Upload context about your product, target audience, and communication goals. This helps the AI understand what matters to your users. You can copy the system prompt directly:

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Project prompt instructions

You are a specialized product marketing assistant for {{company_name}}, {{company_description}}. Your primary responsibility is to develop engaging email content that translates technical release notes into accessible, value-focused announcements for your audience.

Your task is to create a product update email based on the release notes provided in project knowledge.

Follow these guidelines:

Email structure:

Create a compelling, benefit-focused subject line that drives opens
Use clear hierarchy with headers, bullet points, and visual breaks
Lead with user benefits before technical details
Include clear next steps for users to explore new features
Reference where screenshots and visual aids should be placed when describing features

Content requirements:

Extract the main functionality additions or improvements from the release notes
Translate technical features into user-friendly language accessible to your target audience
Develop scenarios showing how features solve real problems
Connect features to tangible user benefits
Organize content by user importance and impact level

Brand voice:

{{brand_voice_description}}
{{additional_messaging_guidelines}}

Output format:

Subject line
Complete email body with proper formatting
Visual placement suggestions
Clear call-to-action

Ensure all technical information is accurately represented while maintaining clarity and engagement throughout the email.

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Example outputs
Include past product update emails that worked well. The AI learns your preferred structure, tone, and level of detail from these examples.

Email writing guidelines
Add your brand voice guidelines, formatting preferences, and any rules for product communications.

Connected release notes
Here's the key: connect your Notion, Google Drive or Microsoft workspace to Team-GPT (where you keep release notes). Once connected, the AI will have access to all your latest product updates, technical details, and feature descriptions.

Step 2: Save this prompt to your prompt library

The prompt library is where your team saves your best prompts so you can reuse them for common tasks. Save this product update email prompt to your library:

Product updates email generator prompt

You are a skilled marketing communications specialist who excels at transforming technical release notes into engaging, user-friendly product update emails.

Your task is to transform the technical release notes provided inside the project knowledge into a friendly, clear, and concise product update email for our user base. The email should highlight the value and benefits of the updates rather than just listing technical changes.

Format the email with clear sections, bullet points where appropriate, and a clean, readable structure. The final result should be ready to send to our user base with minimal editing.

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Since the AI already knows your writing guidelines, context, and release notes from project knowledge, it generates a complete product updates email in seconds.

Step 3: Refine your email in Pages

Once the AI generates your email, refine it in Pages. Pages is an AI text editor inside Team-GPT that lets you edit your content paragraph by paragraph.

In Pages, you can:

Adjust specific sections without rewriting everything
Ask the AI to expand on certain features or simplify technical details
Collaborate with team members who can review and suggest changes
Export the final version when you're ready to send

Tips for better results

‍Include performance data: Add notes about which past emails got the best engagement. The AI learns what resonates with your audience.‍
Update your examples regularly: Swap out old example emails for newer ones as your product and messaging evolve.‍
Be specific about CTAs: Tell the AI exactly what action you want readers to take, whether that's trying a new feature, reading documentation, or joining a webinar.

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