# SaaS Product Roadmap Planner

The SaaS Product Roadmap Planner is an AI-driven tool that assists product managers in developing an effective feature prioritization framework for product roadmaps. By taking into account crucial factors such as customer feedback, market trends, competitive landscape, and business objectives, the agent enables users to create a systematic approach to evaluating potential features. It includes the design of a scoring system that evaluates features based on criteria like impact, effort, and alignment with the product vision. This ensures that the roadmap is regularly reviewed and updated to respond to new insights and shifting priorities effectively.

# Getting Started

To get started, make sure you have cloned the SaaS Product Roadmap Planner. Follow Create from Template to clone and configure your AI agent.

# Configuration Instructions

# Knowledge

You can upload .pdf or .txt files to provide the agent with tailored context that meets your specific requirements.

# User Inputs

Field Title Description Instruction
Product Name The name of the product you are managing Provide a clear and concise name of your SaaS product (e.g., "TaskMaster").
Product Details Information about the product and its features Include specific details such as the target audience, current features, and any unique selling points, ideally in 3-6 sentences.

# AI Models

The default model is Llama 3.1 8B Instruct, but you can explore other supported AI models as well. If needed, refine your prompts for more tailored outputs.

TIP

For more detailed instructions on configuring an AI agent, please refer to Configure AI Agent

# Sample Inputs and Output

# Sample Inputs

  • Product Name: TaskMaster
  • Product Details: TaskMaster is a productivity tool designed for small teams to manage tasks efficiently. It features task assignment, deadline reminders, and performance analytics.

# Sample Output

Feature Prioritization Framework for TaskMaster:

1. Impact: Rate potential features on a scale of 1-5 based on their expected impact on user satisfaction and team productivity.
2. Effort: Assess the development effort required for each feature from 1 (minimal effort) to 5 (high effort).
3. Alignment: Evaluate each feature against the overall product vision to determine how well it matches strategic objectives.

Example features:
- Analytics Dashboard: Impact - 5, Effort - 4, Alignment - High
- Custom Task Labels: Impact - 4, Effort - 2, Alignment - Medium

Regular reviews of this scoring system should occur quarterly, at which point customer feedback and market trends will be reassessed to update the roadmap accordingly.

# Tips of Effective Configuration

  • Define Clear Inputs: Ensure that inputs provided for product name and details are specific to facilitate better output.
  • Utilize Knowledge Uploads: Leverage the option to upload documents for context, as this can enhance the relevance of prioritization frameworks.
  • Regularly Update the Agent: Schedule periodic checks and updates to reflect new insights and changing business priorities effectively.
  • Engage Stakeholders: Include input from key stakeholders to ensure that the prioritization aligns with broader organizational goals.
  • Test Different Models: Experiment with various AI models to find the best performance for your specific use case.

Continue exploring our collection of Agent Templates to discover more AI agent ideas in action!