Snowfire Prompting Primer

SNOWFIRE

Prompt Engineering Best Practices

Get the most out of your decision intelligence platform

Effective prompting is essential to unlocking Snowfire's full analytical capabilities. The quality of your prompts directly impacts the relevance and actionability of the insights you receive. Follow these best practices to maximize platform value.
THE SIMPLE FORMULA
Who you are
+
What you need
+
Time period
+
Data source
🎯
Be Specific
Include exact metrics, timeframes, data sources, and desired outcomes.
🔍
Provide Context
Explain your role, what decision you're making, and why it matters.
📊
Specify Data Sources
Reference which systems (Salesforce, GA4, 6sense) you need analyzed.
📅
Define Timeframes
Always include relevant time periods for comparison or trends.
🤝
Request Format
Specify how you want results: summary, analysis, visualization, etc.
Add Constraints
Include filters, thresholds, or conditions that narrow the scope.

Prompt Examples: Bad vs. Good

INEFFECTIVE
"Show me sales data"
Why this fails: No timeframe, no specific metrics, missing context, no data source, too broad to provide actionable insight.
EFFECTIVE
"I'm the VP of Sales preparing for Q4 planning. Analyze our Salesforce pipeline data from Q3 2025 and compare it to Q3 2024. Focus on (1) win rates by deal size, (2) average sales cycle length by segment, and (3) top 3 factors correlated with closed-won deals. Include any external market signals from 6sense. Deliver as an executive summary with supporting data tables."
Why this works: Clear role and context, specific data source, precise timeframe, defined metrics, external intelligence, requested format.

Updated on: 
October 30, 2025