AI Features Overview

How to get there: Go to Settings in the sidebar → AI Configuration tab (under Configuration).

Learn about all the AI-powered features in ProductLift that help you save time, automate workflows, generate content, and make data-driven decisions using artificial intelligence.

What are ProductLift's AI Features?

ProductLift includes several AI-powered features that use machine learning and natural language processing to enhance your feedback management workflow. These features help you:

• Automate content moderation
• Prioritize features intelligently
• Generate professional changelog content
• Create knowledge base articles
• Improve writing quality
• Generate product vision statements

All AI features use your ProductLift AI credit allocation.

[Screenshot: AI features dashboard showing all available AI capabilities with usage statistics]

AI Features List

1. AI Auto-Moderation

What It Does:

Automatically reviews submitted posts and comments to detect spam, inappropriate content, and low-quality submissions before they appear on your portal.

Key Capabilities:

• Spam Detection: Identifies promotional spam, link spam
• Inappropriate Content: Flags profanity, harassment, offensive language
• Quality Assessment: Detects vague or low-effort posts
• Language Detection: Identifies non-English content (if English-only portal)
• Duplicate Detection: Finds similar existing posts

How It Works:

1. User submits post or comment
2. AI analyzes content automatically
3. Decision made:
   • ✅ Approve (quality content)
   • ⚠️ Flag for review (suspicious)
   • ❌ Reject (clear spam/inappropriate)
4. Admin notified of flagged items
5. Manual review for flagged content

AI Credits: 0.1 credit per moderation check

See Setting Up AI Auto-Moderation for detailed guide.

[Screenshot: AI moderation interface showing flagged post with AI confidence score and admin approval/reject buttons]

2. AI Prioritization

What It Does:

Analyzes posts using your Product Vision to automatically score and rank features by strategic fit, helping you prioritize what to build next.

Key Capabilities:

• Strategic Alignment: Scores based on product vision
• Market Fit: Analyzes customer needs vs. feature
• Impact Assessment: Estimates user impact
• Winners Podium: Highlights top 3 features (gold, silver, bronze)
• Configurable: Choose which statuses to analyze

How It Works:

1. Define Product Vision (target users, goals, needs)
2. Select posts to prioritize
3. AI analyzes each post against vision
4. Generates priority scores (0-100)
5. Posts ranked automatically
6. Top features highlighted

AI Credits: 1 credit per prioritization run (all posts)

See AI Prioritization for detailed guide.

[Screenshot: AI prioritization results showing posts with scores, winners podium showing top 3 features]

3. AI Changelog Summarization

What It Does:

Automatically generates professional, user-friendly changelog summaries from technical information, git commits, or multiple feature descriptions.

Key Capabilities:

• Multi-Feature Summarization: Combine 10+ features into cohesive release notes
• Technical to User-Friendly: Convert developer language to customer language
• Tone Selection: Professional, Friendly, Excited, Technical, Concise
• Length Control: Brief, Standard, or Detailed summaries
• Format Options: Grouped by type, chronological, priority order

How It Works:

1. Select released features or paste git commits
2. Choose tone and length preferences
3. AI generates summary
4. Review and edit as needed
5. Use in changelog post or email

AI Credits: 1 credit per summary generation

See AI Changelog Summarization for detailed guide.

[Screenshot: AI changelog generator showing input posts on left, generated summary on right with tone/length selectors]

4. AI Knowledge Base Article Generation

What It Does:

Creates draft knowledge base articles from feature descriptions, helping you quickly document new features for users.

Key Capabilities:

• Feature Documentation: Turn feature post into help article
• Structure Generation: Auto-creates headings, sections, examples
• User-Focused: Written for end users, not developers
• Multiple Formats: How-to guides, tutorials, FAQs
• Markdown Output: Ready to publish

How It Works:

1. Select feature post or describe feature
2. Choose article type (How-to, Tutorial, FAQ)
3. AI generates article structure and content
4. Edit and refine
5. Publish to knowledge base

AI Credits: 1 credit per article generation

[Screenshot: Knowledge base article generator showing feature description input and generated article with sections]

5. AI Product Vision Generation

What It Does:

Helps you create a comprehensive Product Vision statement by asking strategic questions and generating vision content based on your answers.

Key Capabilities:

• Guided Questions: Asks about target users, goals, needs
• Vision Statement: Generates compelling vision statement
• Target Group Definition: Describes ideal customers
• User Needs Identification: Lists key user problems
• Business Goals: Articulates strategic objectives

How It Works:

1. Click "Generate with AI" in Product Vision editor
2. Answer 5-7 strategic questions
3. AI generates complete vision
4. Review and refine
5. Save for use in AI prioritization

AI Credits: 1 credit per generation

See Creating a Product Vision for detailed guide.

[Screenshot: Product vision AI generator showing question prompts and generated vision statement]

6. AI Writing Improvements

What It Does:

Enhances your writing by improving clarity, fixing grammar, expanding brevity, or summarizing verbosity in posts, comments, and other content.

Key Capabilities:

• Grammar Check: Fixes spelling, punctuation, grammar errors
• Clarity Enhancement: Makes writing clearer and more concise
• Expansion: Adds detail to brief descriptions
• Summarization: Condenses long text
• Tone Adjustment: Professional, friendly, or technical tone

How It Works:

1. Write your content (post, comment, response)
2. Click "Improve with AI" button
3. Select improvement type
4. AI generates improved version
5. Accept or reject changes

AI Credits: 0.5 credits per improvement

[Screenshot: Text editor with "Improve with AI" button and improvement options dropdown]

AI Credits System

How AI Credits Work

Credit Allocation:

Each ProductLift plan includes monthly AI credits:

• Starter: 50 credits/month
• Pro: 200 credits/month
• Enterprise: 500 credits/month

Credit Costs:

Credit Tracking:

View remaining credits:

• Settings → AI → Credit Usage
• AI feature interfaces show remaining credits
• Low credit warning when <10% remaining

[Screenshot: Credit usage dashboard showing monthly allocation, used credits, remaining credits with progress bar]

Managing AI Credits

Monitor Usage:

Settings → AI → Usage Analytics:

• Credits used per feature
• Usage over time
• Most-used features
• Projected end-of-month balance

Optimize Usage:

High Usage Tips:

• Use AI for complex tasks, manual for simple
• Batch operations (prioritize all posts once vs. multiple times)
• Save good AI outputs as templates
• Train AI on your style to reduce regenerations

Purchase Additional Credits:

If you run out:

• Settings → AI → Purchase Credits
• Add-on packages available
• Or upgrade plan for higher allocation

[Screenshot: Credit usage analytics showing bar chart of usage by feature and line graph of usage over time]

Setting Up AI Features

Initial AI Configuration

Enable AI Features:

Settings → AI → Configuration

1. Enable/Disable Features:

Toggle which AI features are available:

• ☑ AI Auto-Moderation
• ☑ AI Prioritization
• ☑ AI Changelog Summarization
• ☑ AI Knowledge Base Generation
• ☑ AI Product Vision
• ☑ AI Writing Improvements

2. Configure Defaults:

Set default preferences:

• Default tone: Friendly
• Default length: Standard
• Auto-approve moderation above: 95% confidence
• Languages to detect: English, Spanish, French

[Screenshot: AI configuration page with feature toggles and default settings]

Product Vision for AI Prioritization

Critical for AI Prioritization:

AI prioritization requires Product Vision to work:

Setup:

1. Click Product Vision in the admin sidebar
2. Click "Generate with AI" or fill manually
3. Define:
   • Vision statement
   • Target group
   • User needs
   • Product description
   • Business goals
4. Save vision

Why It Matters:

AI uses vision to score features:

• Feature aligned with vision = high score
• Feature misaligned = low score

Without vision, AI prioritization won't work.

See Creating a Product Vision.

[Screenshot: Product vision form with AI "Generate" button and form fields]

Using AI Features Effectively

Best Practices

1. AI as Assistant, Not Replacement

• AI generates drafts, humans refine
• Always review AI output
• Edit for brand voice and accuracy
• Don't publish AI content unreviewed

2. Train AI on Your Style

• Provide example content for AI to learn from
• Use custom instructions
• Consistent tone across AI features
• Fewer edits needed over time

3. Batch AI Operations

• Prioritize all features at once (not one-by-one)
• Generate changelog for monthly release (not weekly)
• Batch saves credits

4. Use AI for Complex Tasks

• Simple one-liner? Write manually (30 seconds)
• Complex multi-feature release notes? Use AI (saves 30 minutes)

5. Monitor AI Accuracy

• Check AI moderation decisions occasionally
• Verify AI prioritization makes sense
• Adjust settings if AI is off

When to Use Each Feature

Use AI Auto-Moderation When:

• High volume of submissions (100+ per month)
• Spam is a problem
• Need 24/7 moderation
• Want to reduce manual review time

Use AI Prioritization When:

• Many features to prioritize (50+ posts)
• Want objective prioritization
• Have clear product vision
• Quarterly planning sessions

Use AI Changelog Summary When:

• Shipping 5+ features at once
• Technical commits need user-friendly language
• Time-constrained changelog creation
• Want consistent changelog tone

Use AI KB Article Generation When:

• Creating documentation for new features
• Need to document 10+ features quickly
• Want consistent article structure

Use AI Product Vision When:

• Starting new product
• Haven't defined vision yet
• Need help articulating strategy
• Want structured vision framework

Use AI Writing Improvements When:

• Writing isn't your strength
• Need quick grammar check
• Want to improve clarity
• Professional tone needed

[Screenshot: Decision tree diagram showing when to use each AI feature]

AI Feature Limitations

What AI Can't Do

Accuracy Limitations:

• AI makes mistakes: Always review output
• Hallucinations: AI may invent details not in input
• Context limitations: AI doesn't know your business like you do
• Nuance: May miss subtle requirements or constraints

Content Limitations:

• Generic language: AI can be formulaic without guidance
• Lacks personality: May need editing for brand voice
• Surface-level: Deep expertise requires human input

Decision Limitations:

• AI suggests, humans decide: Don't blindly follow AI prioritization
• Lacks strategic context: Doesn't know roadmap constraints
• No customer relationships: Can't factor in customer promises

When to Skip AI

Don't Use AI For:

• Sensitive content: Pricing changes, layoffs, major pivots
• High-stakes decisions: Customer commitments, legal content
• Highly technical: Detailed technical specs (AI oversimplifies)
• Brand voice critical: Marketing copy, major announcements
• Simple tasks: One sentence takes 10 seconds to write

Human Touch Needed:

• Customer quotes and testimonials
• Personal anecdotes
• Specific use case examples
• Emotional appeals
• Humor and personality

AI Privacy and Data

Data Processing

What AI Sees:

• Content you send to AI features (posts, comments, descriptions)
• Your Product Vision
• Portal configuration (categories, tags, statuses)
• Historical data (for learning your style)

What AI Doesn't See:

• User personal information (unless in post content)
• Email addresses
• Payment information
• Private team discussions
• Other portals' data

Data Storage

AI Data Handling:

• Temporary processing: Data processed for AI request
• Not stored: AI doesn't retain your content after processing
• No training: Your data not used to train AI models
• Secure: Encrypted in transit and at rest

Compliance

GDPR Compliant:

• EU-approved AI providers
• Data processing agreements in place
• Right to opt-out
• Data deletion on request

SOC 2 Type II:

• Security controls audited
• Data protection measures
• Incident response procedures

Troubleshooting

Issue: AI Feature Grayed Out

Solution:

• Check if feature enabled (Settings → AI → Configuration)
• Verify you have AI credits remaining
• Check your plan includes this feature
• Contact support if should be available

Issue: AI Output Quality Poor

Solution:

• Provide better input (more detailed, clear descriptions)
• Use custom instructions to guide AI
• Try different tone/length settings
• Provide examples for AI to learn from
• Edit and regenerate

Issue: Out of AI Credits

Solution:

• Wait for monthly refresh
• Purchase additional credits (Settings → AI → Purchase)
• Upgrade plan for higher allocation
• Optimize usage (batch operations)

Issue: AI Prioritization Not Working

Solution:

• Verify Product Vision is defined (required)
• Check vision has enough detail
• Ensure posts have descriptions (not just titles)
• Try with smaller set of posts first

Issue: AI Moderation Too Strict/Lenient

Solution:

• Adjust confidence threshold (Settings → AI → Moderation)
• Review and train on false positives/negatives
• Use custom moderation rules
• Combine with manual review

Related Articles

AI Features:

• AI Auto-Moderation - Detailed moderation guide
• AI Prioritization - Prioritization guide
• AI Changelog Summarization - Changelog generation
• Creating a Product Vision - Vision setup

Workflows:

• Content Moderation Workflow - Using AI in moderation
• Feature Launch Workflow - AI in launch process

Settings:

• Portal Analytics and Insights - Track AI usage analytics