Customer calls provide valuable feedback, often including insightful feature requests. However, manually identifying and processing these insights can be time-consuming. Alfred AI can automate this process, capturing feature requests from customer calls and sending actionable alerts to your team. Here’s a step-by-step guide on setting up an automated workflow with Alfred AI to streamline feature request capture and management.
Connect Alfred AI to Your Call Recording Tool
To begin, integrate Alfred AI with your call recording tool, such as Gong, Chorus, or Zoom. Once connected, Alfred AI can set up a trigger to activate whenever a customer call is completed, enabling it to retrieve call data in real time and process it for feature request analysis.
Choose the AI Model to Identify Feature Requests
Alfred AI’s built-in AI models are perfect for analyzing call transcripts and detecting feature requests. Once a call ends, Alfred AI processes the transcript, scanning for potential feature requests. If a feature request is identified, Alfred AI summarizes it, highlighting both the customer’s request and their reason. This ensures that your team receives a concise, relevant overview of customer needs.
Connect Slack for Real-Time Notifications
To keep your team updated seamlessly, integrate Alfred AI with Slack. Alfred AI will send an alert to a designated Slack channel whenever it identifies a feature request. Each notification includes:
- A summary of the requested feature
- The customer’s reasoning, helping your team understand its context and importance
This Slack alert allows your team to stay informed without needing to navigate the call recording tool, saving time and centralizing insights.
Connect Your Project Management Tool for Task Creation
Finally, link Alfred AI with your project management tool—such as Jira, Trello, or Asana—to efficiently manage feature requests. The Slack alert includes actionable options, allowing your team to:
- Convert the feature request into a new task: For requests requiring immediate attention, create a new task in your project management tool directly from Slack.
- Add it as a subtask under an existing project: For feature requests that align with ongoing initiatives, assign them as subtasks for easy tracking.
- Ignore the request: If the request doesn’t fit current priorities, the team can choose to ignore the alert, keeping your task list clean and focused.
These options within Slack enable your team to handle feature requests efficiently without leaving their communication channel.
The Workflow in Action
Here’s how Alfred AI’s workflow unfolds:
- Alfred AI retrieves the call transcript from the recording tool once a customer call ends.
- Alfred AI’s AI model analyzes the transcript to detect potential feature requests.
- If a feature request is identified, Alfred AI posts a summarized alert to Slack, detailing the feature and why it matters to the customer.
- Team members can then use Slack options to create a task, add a subtask, or ignore the request based on its relevance and priority.
By leveraging Alfred AI, your team can capture and prioritize feature requests from customer calls effortlessly, eliminating the need for manual review and ensuring that valuable customer insights are promptly addressed. This automated workflow keeps your product development aligned with customer needs, making it easier to build a product that truly resonates with users.
