Getting Better Results
The quality of what you get from Toffu depends on how you ask. This guide covers practical patterns for writing requests that produce useful, actionable results.
Why Request Clarity Matters
Toffu works best when it understands exactly what you need. Vague requests lead to broad, generic results. Specific requests lead to focused, actionable results.
The difference isn't about doing less - it's about giving Toffu the direction it needs to do the right work.
Effective Request Patterns
Be Specific About What You Want
Effective:
Access my Google Analytics for Q4 2024, identify the top 5 performing blog posts by conversion rate, and create a Google Doc summarizing what made them successful with 3 actionable insights for future content.
Why this works:
- Clear scope (Q4 2024, top 5 posts)
- Specific metric (conversion rate)
- Defined deliverable (Google Doc with 3 insights)
- Toffu knows exactly what "done" looks like
Less effective:
Look at my website performance and help me improve my marketing.
Why this produces weaker results:
- No clear direction for Toffu to follow
- Results will be broad and generic
- You'll likely need follow-up requests to get what you actually need
Combine Related Tasks in One Request
Effective:
Monitor my top 3 competitors on LinkedIn this week, identify their most engaging posts, and create a Google Sheet with post analysis and 5 content ideas inspired by their successful themes.
Why this works:
- Toffu can connect the dots across related information
- The analysis is richer because all context is available in one workflow
- You get a single, cohesive deliverable
Less effective:
Task 1: Monitor competitor A on LinkedIn
Task 2: Monitor competitor B on LinkedIn
Task 3: Monitor competitor C on LinkedIn
Task 4: Analyze their posts
Task 5: Create content ideas
Why this produces weaker results:
- Each request starts without context from the others
- Toffu can't draw comparisons across competitors
- You end up doing the synthesis work yourself
Provide Context and Constraints
Effective:
Using my Google Analytics data from the past 30 days, identify the 3 blog posts with the highest bounce rate above 70%, research why they're underperforming by checking page load times and content length, and create a Google Doc with specific optimization recommendations for each post.
Why this works:
- Clear timeframe (30 days)
- Specific criteria (bounce rate >70%)
- Limited scope (3 posts)
- Defined research parameters
- Specific deliverable format
Less effective:
Help me figure out why my blog isn't performing well and fix the problems.
Why this produces weaker results:
- Toffu has to guess what "performing well" means to you
- No way to prioritize which issues matter most
- Results will be surface-level across many topics instead of deep on what matters
Working in Phases
For complex projects, break work into phases where each step builds on the last.
Phase 1: Identify the problem
Analyze my Google Analytics for the past month and identify the top 3 performance issues affecting conversion rates.
Phase 2: Go deeper on what matters
Focus on the bounce rate issue you identified. Research the 5 highest bounce rate pages, analyze their content structure and load times, and create specific optimization recommendations.
Phase 3: Plan the fix
Using the optimization recommendations, create a prioritized implementation plan with timeline and resource requirements.
Why this works:
- Each phase gives you a chance to steer direction
- You invest deeper analysis only in the areas that matter
- Results are more focused and actionable
Build on Previous Work
Toffu can reference your Library and Knowledge base. Use this to get better results over time.
Effective:
Using the competitor analysis report in my Library from last month, identify any new competitors that have emerged, update the competitive landscape, and add 3 new companies to the existing analysis framework.
Why this works:
- Builds on existing insights instead of starting from scratch
- Results are consistent with your established framework
- Analysis gets deeper over time
Less effective:
Create a complete competitor analysis for my industry.
Why this produces weaker results:
- Ignores previous work you've already done
- Starts from zero when you already have a foundation
- Results may contradict or duplicate earlier analysis
Common Pitfalls
Too broad
Problem:
Analyze all my marketing performance across every channel, identify every opportunity for improvement, research all my competitors' strategies, and create a comprehensive marketing optimization plan.
Better:
Focus on my email marketing performance for Q4 2024. Identify the 3 worst-performing campaigns, analyze what went wrong, and create specific improvement recommendations for each.
Focused requests produce deeper, more useful analysis. You can always go broad later once you know where to focus.
Too vague
Problem:
Help me understand what's happening with my LinkedIn engagement lately.
Better:
My LinkedIn engagement dropped 40% in the past month. Compare my recent posts to my top-performing posts from earlier this year, identify what changed, and recommend 3 specific adjustments to improve engagement.
When you give Toffu the "what" and "why," it can focus entirely on the "how."
Not using existing context
Problem:
Create a content strategy for our SaaS company targeting marketing directors.
Better:
Using the customer personas and successful content examples in my Knowledge base, create a content strategy targeting marketing directors that builds on our proven messaging themes and successful content formats.
Your Knowledge base and Library are there to make every request smarter.
Splitting what should be one request
Problem:
Analyze my Google Analytics traffic, then analyze my website performance, then look at my user engagement metrics.
Better:
Use my Google Analytics to analyze website performance focusing on traffic patterns, user engagement, and conversion metrics, then create a single comprehensive performance report.
Related analysis is stronger when Toffu can see the full picture at once.
Request Templates
Competitive Intelligence
Monitor [2-3 specific competitors] on [LinkedIn/Twitter] for [specific timeframe], analyze their [specific content type], identify [2-3 specific opportunities], and create a [specific deliverable] with [defined scope].
Example:
Monitor Competitor A and B on LinkedIn this week, analyze their thought leadership posts, identify 2 content gaps they're not covering, and create a Google Doc with 5 content ideas to fill those gaps.
Performance Analysis
Analyze my [specific platform] performance for [timeframe], identify the [specific metric] issues, research [specific factors], and create [targeted recommendations].
Example:
Analyze my email campaign performance for November 2024, identify campaigns with sub-15% open rates, research subject line patterns, and create 5 improved subject line templates.
Content Strategy
Using my [existing Knowledge/data], research [specific trend/topic], analyze [specific competitor activity], and create [specific content plan] with [defined scope].
Example:
Using our customer personas in Knowledge, research AI marketing trends on LinkedIn, analyze how our top 2 competitors are covering AI topics, and create a 4-week AI content calendar.
Before You Start a Workflow
A quick mental checklist:
- Clear goal - Can you explain what you want in one sentence?
- Specific scope - Have you defined timeframes, metrics, and limits?
- Defined deliverable - Do you know what format you want the output in?
- Existing context - Can you point Toffu to relevant Knowledge or Library assets?
- Success criteria - Will you know "good" when you see it?
When to Go Big
Some work genuinely calls for comprehensive analysis:
- Strategic planning before major campaigns or launches
- Market opportunity analysis for new products
- Performance audits before budget decisions
- Quarterly or annual marketing planning
For these, don't hold back. Give Toffu the full scope and let it do the heavy lifting. That's what it's built for.
Conclusion
Getting great results from Toffu comes down to clarity, focus, and context:
- Clarity - Tell Toffu exactly what you need, with specific metrics, timeframes, and deliverables.
- Focus - Scoped requests produce deeper, more actionable results than broad ones.
- Context - Reference your Knowledge base and Library to make every request smarter.
The goal isn't to ask less of Toffu - it's to ask clearly so Toffu delivers exactly what you need.