How to get there: Click Product Vision in the sidebar.
Learn how to define and maintain your Product Vision in ProductLift to guide AI-powered prioritization, align your team, and ensure your roadmap reflects your strategic direction.
What is a Product Vision?
A Product Vision is a strategic framework that defines what your product is, who it serves, what problems it solves, and what you're trying to achieve as a business. In ProductLift, your Product Vision powers AI-driven prioritization and helps ensure feature decisions align with your overall strategy.
Think of Product Vision as your product's North Star—the guiding principle that helps you say "yes" to the right features and "no" to distractions.
Why Product Vision Matters in ProductLift
Powers AI Prioritization:
- AI uses your vision to score features for strategic alignment
- Without vision, AI can only prioritize by votes (popularity contest)
- Clear vision = intelligent, strategy-driven recommendations
Aligns Your Team:
- Shared understanding of product direction
- Consistent prioritization criteria across team members
- Reference point for product decisions
Guides Customer Communication:
- Explain why you're building certain features
- Help customers understand your product direction
- Transparent about what's in/out of scope
Accessing Product Vision
Navigate to Product Vision:
- Click on Product Vision in the left sidebar
- Or click Product Vision in the admin sidebar
- Product Vision board interface opens
[Screenshot: Product Vision section in sidebar and empty vision board]
Creating Your Product Vision
Choose Creation Method
You have two options for creating your Product Vision:
Option 1: AI-Generated Vision (Quick Start)
Let AI create an initial draft based on your product description.
Benefits:
- Fast (2-3 minutes vs. 30+ minutes manual)
- Comprehensive starting point
- Professional structure
When to use:
- Quick start during onboarding
- Initial draft to refine later
- Exploring what vision should include
Option 2: Manual Creation (Recommended)
Fill in each vision component manually with your team.
Benefits:
- Deeply considered
- Team alignment built during process
- Authentic to your strategy
When to use:
- Strategic planning sessions
- Long-term vision definition
- When you have clear product strategy
Using AI to Generate Vision
Step 1: Select AI-Generated Option
- Click "Generate with AI" or "AI-Generated" button
- AI prompt dialog appears
[Screenshot: AI generation dialog with product description input field]
Step 2: Describe Your Product
Provide a brief description of your product including:
- What your product does
- Who you serve
- Key value proposition
- Current stage/focus
Example Prompt:
"We're a B2B SaaS feedback management platform. We help product managers at mid-sized SaaS companies (50-500 employees) collect customer feedback through widgets, prioritize features with data using RICE and AI, share public roadmaps transparently, and publish changelogs. We integrate with Stripe for customer segmentation by MRR."
Step 3: Generate Vision
- Click "OK" or "Generate"
- AI processes your description (takes 5-10 seconds)
- Complete Product Vision generated automatically
Step 4: Review AI Output
AI generates all vision components:
- Vision Statement
- Target Group
- User Needs
- Product Description
- Business Goals
[Screenshot: AI-generated Product Vision board showing all five components filled in]
Step 5: Edit and Refine
- Review each section carefully
- Edit to match your actual strategy
- Add specifics AI may have missed
- Delete irrelevant content
- Save when satisfied
Common AI Edits Needed:
- Make target group more specific
- Add precise business metrics
- Refine user needs based on actual feedback
- Adjust tone to match your voice
Creating Vision Manually
Step 1: Start with Vision Statement
Click into Vision Statement field and write:
- 1-2 sentences
- Future-oriented
- Specific to your market
Example:
"Become the leading customer feedback platform for B2B SaaS companies building customer-driven products."
Step 2: Define Target Group
Describe in detail:
- Role/title
- Company type and size
- Current situation
- Goals and needs
Example:
"Product managers and founders at B2B SaaS companies (10-500 employees) who want to centralize customer feedback, make data-driven roadmap decisions, and build transparent relationships with customers."
Step 3: List User Needs
List 3-5 core problems you solve:
- Focus on needs, not features
- Use customer language
- Based on research/feedback
Example:
- Collect customer feedback from multiple channels in one place
- Prioritize features objectively using customer data
- Communicate product plans transparently to customers
- Close the feedback loop when features ship
Step 4: Write Product Description
2-4 sentences explaining:
- What your product does
- How it works
- Key differentiators
Example:
"All-in-one feedback management platform combining customer feedback collection, data-driven prioritization (RICE, ICE, AI), public roadmap communication, changelog announcements, and knowledge base documentation. Integrates with Stripe for customer segmentation by MRR."
Step 5: Set Business Goals
List 3-5 measurable objectives:
- Specific numbers
- Time-bound deadlines
- Revenue, growth, or strategic goals
Example:
- Acquire 1,000 paying customers by Q4 2026
- Achieve $1.5M ARR
- Expand into enterprise segment (>$100k ARR customers)
- Maintain 95%+ customer retention rate
Step 6: Save Your Vision
- Click "Save" or "Save Product Vision"
- Vision activated and powers AI prioritization
- Visible to admins (not public)
[Screenshot: Completed Product Vision board with all sections filled in and Save button]
Using Your Product Vision
Power AI Prioritization
Once saved, your Product Vision guides AI-powered feature prioritization.
How It Works:
When you run AI prioritization:
- AI reads your Product Vision
- Analyzes each post for strategic alignment
- Scores based on vision fit
- Ranks posts by strategic value
Vision Alignment Factors:
- Does feature serve target group?
- Does it address user needs?
- Does it fit product description?
- Does it support business goals?
[Screenshot: AI prioritization results showing posts scored by vision alignment]
See AI Prioritization for detailed usage.
Guide Manual Decisions
Use vision when manually evaluating features:
Assessment Questions:
- ✓ Does this feature serve our target group?
- ✓ Does it address a user need in our vision?
- ✓ Does it fit our product description?
- ✓ Does it support our business goals?
Decision Framework:
- All yes: Strong candidate for roadmap
- Mostly yes: Consider with caveats
- Mostly no: Likely out of scope
- All no: Decline politely
Example:
Feature Request: "Add Instagram integration"
Vision Check:
- Target (B2B SaaS): ✗ Instagram is B2C focused
- User needs: ✗ Doesn't match our needs list
- Product: ✗ Outside feedback management scope
- Goals: ✗ Doesn't support B2B focus
Decision: Decline - doesn't align with B2B SaaS vision.
Communicate Strategy
Internal Use:
- Include in roadmap planning documents
- Reference in feature specifications
- Use in team onboarding
- Cite in prioritization discussions
External Use (Selective):
- Share portions to set customer expectations
- Use in sales/marketing messaging
- Reference when declining requests
- Include in product positioning
Maintaining Your Vision
Regular Vision Reviews
Quarterly Review:
Every quarter, ask:
- Does vision still reflect our strategy?
- Has target group evolved?
- Have user needs changed?
- Are business goals still relevant?
Update When:
- Strategy shifts significantly
- You pivot to new market
- Business goals change
- Product evolves substantially
Keep Stable When:
- Strategy is consistent
- Core focus unchanged
- Goals still valid
Best Practice: Vision should be relatively stable (update 1-2x per year maximum). Frequent changes indicate strategy uncertainty.
Aligning Vision with Reality
Common Misalignment:
Vision says: "Serve enterprise customers"
Reality: 90% of customers are SMBs
Solution:
- Update vision to reflect actual market
- OR commit to enterprise strategy with new tactics
- Don't let vision and reality diverge
Red Flags:
- AI consistently recommends features you reject
- Team disagrees on priorities
- Customers confused about direction
Best Practices
Be Specific
Generic (Bad):
- "Help people be productive"
- "Build great software"
- "Delight customers"
Specific (Good):
- "Help B2B SaaS product managers build customer-driven roadmaps"
- "Make video editing accessible to non-designers through AI"
- "Simplify financial management for freelancers"
Focus on Needs, Not Features
Wrong:
User Needs:
- Need voting system
- Need roadmap widget
Right:
User Needs:
- Understand which features customers want most
- Communicate product plans transparently
Make Goals Measurable
Vague:
- "Grow revenue"
- "Get more customers"
Measurable:
- "Achieve $2M ARR by Q4 2026"
- "Acquire 1,500 paying customers by end of year"
Involve Your Team
Who to Include:
- Product team (must)
- Engineering leads (must)
- Founders/leadership (must)
- Sales, CS, marketing (recommended)
Process:
- Workshop session to draft
- Async review and feedback
- Refinement
- Leadership approval
Troubleshooting
Issue: Vision Too Broad, AI Recommendations Unclear
Solution:
- Narrow target group (specific role, company size)
- Define 3-5 specific user needs
- Clarify measurable business goals
Issue: Team Disagrees on Vision
Solution:
- Schedule alignment workshop
- Get executive buy-in first
- Document and resolve disagreements
- Compromise or escalate to leadership
Issue: Vision Doesn't Match Product Reality
Solution:
- Update vision to reflect actual product
- OR create roadmap to evolve toward vision
- Don't maintain disconnect
Related Articles
AI Prioritization:
Strategic Planning:
Getting Started: