Identify Unused Features & Send Education Ai Agent Workflow Inspiration

Identifies valuable but unused product features, determines relevance to specific customers, and sends targeted educational content to drive adoption.

How this Ai Agent Workflow Helps

This workflow is designed for product and customer success teams who want to increase feature adoption across their customer base. By identifying underutilized features that could provide value to specific customers, teams can deliver targeted educational outreach that highlights relevant benefits and increases product stickiness.

The process begins by analyzing each customer's product usage data to identify which significant features they haven't adopted yet. An AI then evaluates whether these unused features align with the customer's goals, industry, or use case to ensure relevance before any outreach occurs. This intelligent filtering prevents customers from receiving irrelevant feature suggestions that might feel like generic upselling.

When a valuable, unused feature is identified for a customer, the workflow uses AI to craft a personalized educational message. This message explains the feature's specific benefits for their situation, provides clear instructions or a tutorial link, and encourages adoption. After sending the message via the appropriate channel (email or in-app), usage is tracked to measure effectiveness and potentially trigger follow-up communication if needed.

Who this Ai Agent Workflow Is For

Go-To-Market Pros

You care about improving the entire lifecycle of buyer and customer journeys. And you want inspiration for areas where Ai may help.

Ai Builders

You want inspiration for real-world ways to help people as you're building your Ai product.

Pros Focused on the Retention Stage

You're focused on the Retention stage in your daily job and want to find ways for Ai to help you do more with less.

Ai Agent WorkflowExample as Inspiration

Does this AI agent workflow rely too much on AI and not enough on human know-how? Or the reverse? Is it missing steps or tools?

Note that this Ai workflow is presented as inspiration for what's possible. Adjust the amount, type and quality of the data inputs. Adjust how much or how little your human team mates (or you), AI and fully autonomous agents contribute.

And test it! Learn what works and what doesn't.

Don't forget! In the end, it's not just about efficiency. It's about delivering great experiences for your customers and customers-to-be.

1. Trigger: Schedule Feature Adoption Scan
Trigger. Initiate the feature adoption scan on a regular schedule (monthly or quarterly) to identify opportunities across the customer base.
Trigger Event
2. Review Feature Usage
Tool Call. Review each customer's usage to see which major features they are not using that could benefit them.
Data
Analytics Google Analytics Mixpanel Custom API
3. Assess Feature Relevance
LLM Call. Have an AI assess if the unused feature is relevant to the customer's profile.
Report
LLM OpenAI Anthropic Google Gemini

Prompt

Evaluate whether the following unused product feature would be valuable for this customer based on their profile and usage patterns:

Customer: {customerName} at {companyName}
Industry: {industry}
Company Size: {companySize}
Current Feature Usage: {currentFeatures}
Unused Feature: {unusedFeatureName}
Unused Feature Description: {unusedFeatureDescription}
Common Use Cases for Feature: {featureUseCases}

Please provide:
1. A relevance score (1-10) for this feature to this specific customer
2. Justification for why this feature would or would not be valuable to them
3. If relevant (score 7+), 2-3 specific benefits this customer could realize from using this feature

Keep your analysis concise and focused on the customer's specific situation rather than generic feature benefits.

4. Compose Educational Message
LLM Call. Use LLM to compose a personalized message explaining the value of that feature and include a short guide or video link.
Email
LLM OpenAI Anthropic Google Gemini

Prompt

Create a personalized educational email about an unused product feature for a customer. Use the following information:

Customer: {customerName} at {companyName}
Feature Name: {featureName}
Feature Value Proposition: {featureValue}
Relevance to Customer: {relevanceJustification}
Specific Benefits for This Customer: {specificBenefits}
Getting Started Guide URL: {guideUrl}
Video Tutorial URL: {videoUrl}

The email should:
- Have a friendly, helpful tone (not salesy)
- Briefly acknowledge their current product usage
- Introduce the unused feature with specific relevance to their situation
- Highlight 2-3 specific benefits they could realize (using their language/industry terms)
- Include a simple 'first step' to get started
- Provide resources (guide/video) for learning more
- End with a gentle call-to-action

Keep the email concise (150-200 words) and conversational, as if a helpful CSM were writing personally to them.

5. Dispatch Feature Message
Tool Call. Send the message via email or in-app notification and track if the feature starts being used.
Email
Email Automation SendGrid Mailchimp HubSpot

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Awareness Agent
Consideration Agent
Purchase Decision Agent
Onboarding Agent
Retention Agent
Expansion Agent
Advocacy Agent