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AI for Product Managers: 5 Tasks You Can Start Automating Today

How can product managers use AI to become better PM's? From automating PRD writing to product roadmap creation, we'll go over the top 5 tasks you can automate.

By
Angela Baylon
September 24, 2024
AI for Product Managers: 5 Tasks You Can Start Automating Today

Between delivering on product roadmaps, conducting customer research, and gaining alignment from stakeholders, it’s easy to feel overwhelmed as a product manager. But what if you had an assistant that was always available and helped you become a better PM? That's where artificial intelligence (AI) comes in. AI can help product managers cut down on the manual work involved in gathering data, generating reports, and analyzing customer feedback, letting PM’s focus on higher-level strategy and decision-making.  

So, whether it's drafting product requirement documents (PRDs), creating user stories, or gathering customer insights, AI makes these tasks a breeze.

How Product Managers Can Use AI

There are plenty of ways AI tools can make a PM’s day-to-day smoother and feel less overwhelmed. Here are the top 5 product management duties where AI can truly make a difference. And we’ll show you how to use Storytell.ai to easily automate these tasks.

Create Product Roadmaps with AI

A product roadmap is your product's vision, direction, and progress over time. It's essential for aligning teams and communicating your long-term strategy.

Without AI, creating product roadmaps means gathering input from various stakeholders, compiling extensive data, and continually updating the roadmap. This manual process takes a lot of time and can often lead to inconsistencies and delays.

AI can make this much easier by automating data collection and analysis, quickly generating an up-to-date roadmap that reflects the latest insights and priorities.

1. How to use Storytell.ai to create a product roadmap:

  1. Open Storytell.ai and enter the prompt: "Generate a 6-month product roadmap highlighting new feature releases and milestones for the upcoming quarter."
  2. Upload relevant documents like your product vision, key features, market research, and competitor analysis.
  3. Storytell.ai will generate a product roadmap for you to refine further based on your audience's technical level.

Product roadmap generated using Storytell.ai:

Create a product roadmap with AI

2. Create Product Requirement Documents (PRDs) with AI

A PRD–or product requirements doc–is like a blueprint for your development team, outlining the key features, functionality, and goals of a product.

Creating PRDs manually can be time-consuming. AI powered tools can help save times by generating comprehensive and detailed PRDs tailored to your intended audience, ensuring accuracy, consistency, and alignment with user needs.

How to use Storytell.ai to write up PRDs:

  1. Open Storytell.ai and input the prompt: "Generate a comprehensive Product Requirements Document (PRD) for a [type of product] that includes sections like Executive Summary, Problem Statement, Objectives, User Personas, Use Cases, Functional Requirements, Non-Functional Requirements, Dependencies and Assumptions, Timeline and Milestones, and Success Criteria."
  2. Upload key materials such as market research reports, user personas, customer feedback, technical specifications, and more.
  3. Storytell.ai will generate a PRD for you, which you can refine and tailor to suit either a more technical or less technical audience as needed.

PRD generated using Storytell.ai:

Create a PRD with AI

3. Turn Data into Customer Insights with AI

Customer insights are vital for making informed decisions about product features and improvements. These insights often come from customer feedback, interviews, and usage data, you gather these insights without too much manual work.

Without AI, generating customer insights involves manually listening to customer interviews and synthesizing feedback—which can take hours. AI can automate this by analyzing the customer data you provide and sharing key insights.

How to use Storytell.ai to generate customer insights:

  1. Open Storytell.ai and input the prompt: "Summarize key customer feedback and provide actionable insights for the product team."
  2. Upload relevant documents containing customer feedback, such as reviews and feedback, customer interviews, surveys.
  3. Storytell.ai will facilitate the extraction and refinement of customer data insights, providing actionable, accurate, and audience-appropriate insights to inform strategic decisions.

Customer insights generated using Storytell.ai:

Generate customer insights with AI

4. Automate Writing Release Notes

Release notes are crucial for sharing new features, bug fixes, and updates with both internal teams and end-users. Writing them manually can be tedious, but AI can help automate this process.

How to use Storytell.ai to automate writing release notes:

  1. Open Storytell.ai and input the prompt: "Generate release notes for the latest version of our software, highlighting key updates and bug fixes."
  2. Upload necessary documents detailing the latest version of your software.
  3. Storytell.ai processes the information to create a first draft of the release notes, which you can refine further.

Generate product release notes with AI

5. Gather Insights from Data with AI

Data analysis is crucial for identifying trends, understanding product performance, and making data-driven decisions. AI can help product managers quickly gather and analyze insights from large data sets.

How to use Storytell.ai to gather insights from data:

  1. Open Storytell.ai and start a new thread for data analysis. Input the prompt: "Analyze product usage data from the past [X] months and provide insights on feature engagement and customer behavior."
  2. Upload data sets like user behavior metrics or feature adoption rates.
  3. Storytell.ai processes the data to generate insights on trends, product performance, and actionable recommendations.

Gather insights from data with AI 

Best Practices for Product Managers Using AI

As product managers incorporate AI into their workflows, it's crucial to follow best practices to fully leverage the technology's potential while ensuring security and efficacy. Here are some key best practices for product managers using AI:

  • Automate Repetitive Tasks: Let AI handle tasks like drafting PRDs, creating roadmaps, and writing release notes.
  • Ensure AI Tools Are Secure: Make sure your AI tools comply with your company's security policies, especially with sensitive customer data.
  • Refine and Iterate: AI tools get better with use. Keep refining the outputs to meet your specific needs and standards.

AI can help you work smarter, not harder. By automating repetitive tasks, generating actionable insights, refining product strategy, and streamlining workflows, you can focus on delivering value to users and driving product success.

Ready to streamline your workflow and make smarter decisions? Start using Storytell.ai today and join our Webinar on AI Strategies for Modern Product Managers to learn how to automate your processes.

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