AI Prompts for SaaS

Write a {{sequence_length}}-email onboarding sequence for {{product_name}}, a {{product_description}} SaaS tool.

Target user persona: {{persona}}
Core value proposition: {{value_prop}}
Key activation metric ("aha moment"): {{activation_metric}}
Tone: {{tone}}

For each email in the sequence, provide:
1. Subject line (and one A/B variant)
2. Send timing (days after signup)
3. Goal of this email (what action should the user take)
4. Body copy (150-200 words)
5. Primary CTA button text
6. Fallback plain-text version

The sequence should progress from welcome → first value → deeper features → social proof → upgrade nudge.
Do NOT be pushy. Focus on helping the user succeed.

Write a feature announcement for {{product_name}}.

Feature name: {{feature_name}}
What it does: {{feature_description}}
Who benefits most: {{target_segment}}
Technical details: {{technical_details}}
Availability: {{availability}}

Generate all of these:
1. In-app banner (15 words max)
2. Email announcement (200 words, benefit-led, includes one customer use case)
3. Changelog entry (50 words, grouped under "New Features")
4. Tweet/social post (280 chars, conversational)
5. Help doc section (explains how to use it, step by step)

Brand voice: {{brand_voice}}
Avoid: jargon, superlatives, "excited to announce"

Analyze churn patterns for {{product_name}} and generate actionable insights.

Data available:
- Churned users in the last {{time_period}}: {{churn_count}}
- Common characteristics: {{churn_characteristics}}
- Exit survey responses (summary): {{exit_survey_data}}
- Feature usage data for churned vs retained users: {{usage_comparison}}

Provide:
1. Top 5 likely churn drivers, ranked by impact
2. For each driver: root cause hypothesis, supporting data point, intervention strategy
3. Early warning signals (behaviors that predict churn 30 days before it happens)
4. Retention experiment ideas: 3 specific interventions to test
5. Metrics to track for each intervention
6. One-page executive summary of findings and recommended actions

Synthesize the following user feedback for {{product_name}} into actionable product insights.

Feedback sources:
{{feedback_data}}

Time period: {{time_period}}
Total responses: {{response_count}}

Generate:
1. Sentiment overview: positive / neutral / negative split with key themes per category
2. Top 10 feature requests, ranked by frequency and weighted by user segment value
3. Top 5 pain points with severity assessment (blocking, frustrating, minor)
4. Verbatim quotes that best represent each major theme (3-5 quotes)
5. Patterns by user segment (if segment data available): {{segments}}
6. Prioritized recommendation list: what to build, fix, or investigate next
7. Questions to ask in follow-up interviews to dig deeper

Write pricing page copy for {{product_name}}, a {{product_description}}.

Tiers:
{{pricing_tiers}}

Target audiences per tier:
{{tier_audiences}}

Competitor pricing context: {{competitor_pricing}}

Generate:
1. Page headline and subheading (value-focused, not price-focused)
2. For each tier:
   - Tier name and tagline (4 words max)
   - Price display format
   - 5-7 feature bullet points (lead with benefits, not feature names)
   - Who this is for (one sentence)
   - CTA button text
3. Feature comparison table (checkmarks + notable limits)
4. FAQ section (5 questions addressing common objections)
5. Social proof placement suggestions

Tone: confident but not salesy. Make the right tier obvious for each persona.

Write a help center article for {{product_name}}.

Topic: {{topic}}
Article type: {{article_type}} (tutorial / how-to / reference / troubleshooting)
Audience technical level: {{technical_level}}
Product area: {{product_area}}

Existing style reference:
{{style_reference}}

The article should include:
1. Title (clear, searchable — start with a verb for how-tos)
2. One-sentence summary (appears in search results)
3. Prerequisites (if any)
4. Step-by-step instructions with numbered steps
5. Screenshots/visual callouts (describe what each screenshot should show)
6. Common issues section with solutions
7. Related articles to link to: {{related_topics}}

Write at a {{reading_level}} reading level. Use short paragraphs and scannable formatting.