ayrisdev/marketingskills
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity
Files
f0ec19bb14fe78d425845665c362ca6d8c2ba53e
marketingskills/skills/onboarding-cro/references/experiments.md
Corey Haines 98e74b79d7 Refactor remaining skills for progressive disclosure 
Phase 2 refactoring of skills >500 lines and medium-sized skills:

- paid-ads: 553 → 297 lines
  - Extract ad-copy-templates.md, audience-targeting.md, platform-setup-checklists.md

- analytics-tracking: 541 → 292 lines
  - Extract ga4-implementation.md, gtm-implementation.md, event-library.md

- ab-test-setup: 510 → 264 lines
  - Extract test-templates.md, sample-size-guide.md

- copywriting: 458 → 248 lines
  - Extract copy-frameworks.md (headline formulas, section types)

- page-cro: 336 → 180 lines
  - Extract experiments.md (experiment ideas by page type)

- onboarding-cro: 435 → 218 lines
  - Extract experiments.md (onboarding experiment ideas)

All skills now use progressive disclosure with references/ folders,
keeping SKILL.md files focused on core workflow while detailed
content is available when needed.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-26 16:59:23 -08:00

249 lines
7.0 KiB
Markdown
Raw Blame History

# Onboarding Experiment Ideas
Comprehensive list of A/B tests and experiments for user onboarding and activation.
## Flow Simplification Experiments
### Reduce Friction
| Test | Hypothesis |
|------|------------|
| Email verification timing | During vs. after onboarding |
| Empty states vs. dummy data | Pre-populated examples |
| Pre-filled templates | Accelerate setup with templates |
| OAuth options | Faster account linking |
| Required step count | Fewer required steps |
| Optional vs. required fields | Minimize requirements |
| Skip options | Allow bypassing non-critical steps |
### Step Sequencing
| Test | Hypothesis |
|------|------------|
| Step ordering | Test different sequences |
| Value-first ordering | Highest-value features first |
| Friction placement | Move hard steps later |
| Required vs. optional balance | Ratio of required steps |
| Single vs. branching paths | One path vs. personalized |
| Quick start vs. full setup | Minimal path to value |
### Progress & Motivation
| Test | Hypothesis |
|------|------------|
| Progress bars | Show completion percentage |
| Checklist length | 3-5 items vs. 5-7 items |
| Gamification | Badges, rewards, achievements |
| Completion messaging | "X% complete" visibility |
| Starting point | Begin at 20% vs. 0% |
| Celebration moments | Acknowledge completions |
---
## Guided Experience Experiments
### Product Tours
| Test | Hypothesis |
|------|------------|
| Interactive tours | Tools like Navattic, Storylane |
| Tooltip vs. modal guidance | Subtle vs. attention-grabbing |
| Video tutorials | For complex workflows |
| Self-paced vs. guided | User control vs. structured |
| Tour length | Shorter vs. comprehensive |
| Tour triggering | Automatic vs. user-initiated |
### CTA Optimization
| Test | Hypothesis |
|------|------------|
| CTA text variations | Action-oriented copy testing |
| CTA placement | Position within screens |
| In-app tooltips | Feature discovery prompts |
| Sticky CTAs | Persist during onboarding |
| CTA contrast | Visual prominence |
| Secondary CTAs | "Learn more" vs. primary only |
### UI Guidance
| Test | Hypothesis |
|------|------------|
| Hotspot highlights | Draw attention to key features |
| Coachmarks | Contextual tips |
| Feature announcements | New feature discovery |
| Contextual help | Help where users need it |
| Search vs. guided | Self-service vs. directed |
---
## Personalization Experiments
### User Segmentation
| Test | Hypothesis |
|------|------------|
| Role-based onboarding | Different paths by role |
| Goal-based paths | Customize by stated goal |
| Role-specific dashboards | Relevant default views |
| Use-case question | Personalize based on answer |
| Industry-specific paths | Vertical customization |
| Experience-based | Beginner vs. expert paths |
### Dynamic Content
| Test | Hypothesis |
|------|------------|
| Personalized welcome | Name, company, role |
| Industry examples | Relevant use cases |
| Dynamic recommendations | Based on user answers |
| Template suggestions | Pre-filled for segment |
| Feature highlighting | Relevant to stated goals |
| Benchmark data | Industry-specific metrics |
---
## Quick Wins & Engagement Experiments
### Time-to-Value
| Test | Hypothesis |
|------|------------|
| First quick win | "Complete your first X" |
| Success messages | After key actions |
| Progress celebrations | Milestone moments |
| Next step suggestions | After each completion |
| Value demonstration | Show what they achieved |
| Outcome preview | What success looks like |
### Motivation Mechanics
| Test | Hypothesis |
|------|------------|
| Achievement badges | Gamification elements |
| Streaks | Consecutive day engagement |
| Leaderboards | Social comparison (if appropriate) |
| Rewards | Incentives for completion |
| Unlock mechanics | Features revealed progressively |
### Support & Help
| Test | Hypothesis |
|------|------------|
| Free onboarding calls | For complex products |
| Contextual help | Throughout onboarding |
| Chat support | Availability during onboarding |
| Proactive outreach | For stuck users |
| Self-service resources | Help docs, videos |
| Community access | Peer support early |
---
## Email & Multi-Channel Experiments
### Onboarding Emails
| Test | Hypothesis |
|------|------------|
| Founder welcome email | Personal vs. generic |
| Behavior-based triggers | Action/inaction based |
| Email timing | Immediate vs. delayed |
| Email frequency | More vs. fewer touches |
| Quick tips format | Short actionable content |
| Video in email | More engaging format |
### Email Content
| Test | Hypothesis |
|------|------------|
| Subject lines | Open rate optimization |
| Personalization depth | Name vs. behavior-based |
| CTA prominence | Single clear action |
| Social proof inclusion | Testimonials in email |
| Urgency messaging | Trial reminders |
| Plain text vs. designed | Format testing |
### Feedback Loops
| Test | Hypothesis |
|------|------------|
| NPS during onboarding | When to ask |
| Blocking question | "What's stopping you?" |
| NPS follow-up | Actions based on score |
| In-app feedback | Thumbs up/down on features |
| Survey timing | When to request feedback |
| Feedback incentives | Reward for completing |
---
## Re-engagement Experiments
### Stalled User Recovery
| Test | Hypothesis |
|------|------------|
| Re-engagement email timing | When to send |
| Personal outreach | Human vs. automated |
| Simplified path | Reduced steps for returners |
| Incentive offers | Discount or extended trial |
| Problem identification | Ask what's blocking |
| Demo offer | Live walkthrough |
### Return Experience
| Test | Hypothesis |
|------|------------|
| Welcome back message | Acknowledge return |
| Progress resume | Pick up where left off |
| Changed state | What happened while away |
| Re-onboarding | Fresh start option |
| Urgency messaging | Trial time remaining |
---
## Technical & UX Experiments
### Performance
| Test | Hypothesis |
|------|------------|
| Load time optimization | Faster = higher completion |
| Progressive loading | Perceived performance |
| Offline capability | Mobile experience |
| Error handling | Graceful failure recovery |
### Mobile Onboarding
| Test | Hypothesis |
|------|------------|
| Touch targets | Size and spacing |
| Swipe navigation | Mobile-native patterns |
| Screen count | Fewer screens needed |
| Input optimization | Mobile-friendly forms |
| Permission timing | When to ask |
### Accessibility
| Test | Hypothesis |
|------|------------|
| Screen reader support | Accessibility impact |
| Keyboard navigation | Non-mouse users |
| Color contrast | Visibility |
| Font sizing | Readability |
---
## Metrics to Track
For all experiments, measure:
| Metric | Description |
|--------|-------------|
| Activation rate | % reaching activation event |
| Time to activation | Hours/days to first value |
| Step completion rate | % completing each step |
| Drop-off points | Where users abandon |
| Return rate | Users who come back |
| Day 1/7/30 retention | Engagement over time |
| Feature adoption | Which features get used |
| Support requests | Volume during onboarding |
Reference in New Issue View Git Blame Copy Permalink