estimio

AI Assistant

Three powerful AI features powered by Google Gemini to help your team estimate more accurately and make better planning decisions.

Quick Answer

estimio's AI Assistant uses Google Gemini to provide three key features for agile teams: AI Story Summaries (structured breakdowns of Jira stories), AI Complexity Prediction (story point suggestions with confidence scores), and AI Agent Voting (automated participant that learns from your team's history). All features are available to Pro subscribers with a 30-day free trial.

For: Agile teams, Scrum masters, product owners, remote teams | Best for: Teams estimating 10+ stories per sprint

How AI Assistant Works

estimio's AI Assistant combines three complementary features that work together to provide intelligent estimation support throughout your planning poker sessions.

All AI features are powered by Google Gemini 2.0 Flash and are available exclusively to Pro subscribers. The AI learns from your team's historical estimation patterns to improve accuracy over time.

Pro Feature: AI Assistant requires a Pro subscription (30-day free trial available). Guests and unverified users will see upgrade prompts when viewing sessions.

1. AI Story Summary

Structured AI-generated summaries in the right sidebar panel

When viewing a Jira story in a planning session, estimio automatically generates a comprehensive AI summary that helps your team understand the story's complexity and requirements before voting.

Summary Components

  • One-sentence summary - Quick overview of the story
  • Key constraints - 3-5 bullet points highlighting important limitations
  • Condensed acceptance criteria - Essential requirements in a digestible format
  • Risks & dependencies - Potential blockers and dependencies
  • Technical difficulty score - Visual indicator (1-10 scale) showing complexity

Key Features

  • • Auto-updates when story changes
  • • "Refresh AI Summary" button for manual regeneration
  • • Minimizable sidebar panel
  • • Error handling with user-friendly messages

When to Use

  • • Complex stories with many details
  • • New team members joining sessions
  • • Quick story understanding before voting
  • • Validating team understanding

2. AI Complexity Prediction

Advisory story point prediction before voting begins

The AI analyzes story content and your team's historical estimation patterns to provide an advisory estimate before voting begins. This helps guide discussion and validate team consensus.

Display Features

Visual Indicators:

  • • Green (1-5) - Simple stories
  • • Yellow (8-20) - Medium complexity
  • • Orange (20-40) - Complex stories
  • • Red (100+) - Very complex

Information Shown:

  • • Suggested story points (large, prominent)
  • • Confidence indicator (0-100%)
  • • Expandable explanation
  • • Historical context (similar stories, team average)
Advisory Only: The AI prediction never auto-votes. It's designed to guide discussion and help your team reach consensus, not replace human judgment.

How It Works

  • • Analyzes story title and description
  • • Queries historical data for similar stories
  • • Considers team's past estimation patterns
  • • Uses PostgreSQL full-text search
  • • Gets more accurate with usage

Benefits

  • • Speeds up estimation discussions
  • • Validates team consensus
  • • Helps new team members learn
  • • Reduces estimation variance
  • • Non-blocking (errors don't break sessions)

3. AI Agent Vote

Automatic Gemini AI participant that votes on stories

Enable the AI Agent to automatically vote on stories during planning sessions. The AI participant appears in the lobby with a "Gemini" badge and its vote is included in consensus calculations.

How It Works

  1. Session owner enables Gemini AI in Profile settings (default: disabled)
  2. When a story is displayed, AI analyzes title and description
  3. AI votes using Fibonacci sequence (1, 2, 3, 5, 8, 13, 20, 40, 100)
  4. AI participant appears in lobby with "Gemini" badge
  5. AI vote is included in consensus statistics
  6. If disabled, AI participant is automatically removed

Features

  • • Toggle on/off per user in Profile
  • • Default: disabled (user must enable)
  • • Votes displayed with "Gemini" badge
  • • Included in all consensus calculations
  • • Automatic removal when disabled

Use Cases

  • • Teams wanting AI perspective
  • • Validating human estimates
  • • Learning estimation patterns
  • • Speeding up sessions
  • • Optional Jira webhook integration

Historical Data Learning

How the AI improves accuracy over time by learning from your team's estimation patterns

estimio's AI uses a sophisticated historical learning algorithm that improves estimation accuracy by analyzing your team's past decisions and patterns.

  1. Pattern Recognition: When votes are revealed, the AI stores the story title, description, and final consensus value in the database
  2. Full-Text Search: For new stories, the AI uses PostgreSQL's full-text search to find similar past stories based on keywords and content
  3. Pattern Matching: The AI identifies stories with similar complexity, technical requirements, or domain context
  4. Estimate Refinement: Historical patterns inform the AI's estimate, making it more aligned with your team's actual estimation behavior
  5. Continuous Improvement: As your team estimates more stories, the AI's predictions become increasingly accurate and personalized

Technical Implementation

Google Gemini Integration

estimio uses Google's Gemini 2.0 Flash model for fast, accurate AI predictions. The integration is optimized for low latency and high reliability, ensuring AI features don't slow down your planning sessions.

Privacy & Security

All AI processing respects your data privacy. Story content is sent to Gemini API for analysis but is never stored by Google for training purposes. Your historical estimation data remains private and is only used to improve predictions for your team.

Opt-In Control

AI features are completely optional. You can enable or disable the AI agent in your Profile settings. When disabled, no AI processing occurs and no data is sent to external services. All three AI features work independently and can be used together or separately.

When to Use AI Assistant

Best For:

  • ✓ New team members getting started
  • ✓ Complex stories with many dependencies
  • ✓ Validating team consensus
  • ✓ Learning estimation patterns
  • ✓ Speeding up estimation discussions
  • ✓ Teams wanting AI perspective

Remember:

  • • AI estimates are advisory only
  • • Team discussion is still essential
  • • Historical data improves over time
  • • Can be disabled at any time
  • • Doesn't replace human judgment
  • • All features work independently

People Also Ask

How do we enable AI features in estimio?

Go to your Profile settings and toggle "Gemini AI Assistant" to enabled. AI features require a Pro subscription, but you can start with a 30-day free trial. Learn more in the User Guide.

Can AI replace human estimation in planning poker?

No, AI suggestions are advisory only. estimio's AI Assistant provides intelligent estimates based on historical data, but team discussion and consensus remain essential for accurate planning. The AI learns from your team's patterns to improve over time.

What's the difference between AI Story Summary and AI Complexity Prediction?

AI Story Summary provides structured breakdowns (one-sentence overview, constraints, acceptance criteria) to help teams understand stories before voting. AI Complexity Prediction gives specific story point suggestions with confidence scores. Both work together to improve estimation accuracy. See other features.

Learn More

Related Features

Resources

Ready to Try AI-Powered Estimation?

Start a free session and see how AI can help your team estimate more accurately.

Cookie Preferences

We use cookies to enhance your experience. Essential cookies are required for the service to function. Analytics cookies help us improve the service by understanding how you use it. IP addresses are anonymized and we respect Do Not Track settings. Learn more