
Onboarding
Generate and prioritize A/B test ideas to shorten onboarding friction and improve activation for a solo-built SaaS product.
Install
npx skills add https://github.com/infrasity-labs/dev-gtm-claude-skills --skill onboardingWhat is this skill?
- Catalog of onboarding A/B tests across flow simplification, guided tours, personalization, and re-engagement
- Tables group hypotheses for friction reduction, step sequencing, email loops, and stalled-user recovery
- Covers technical UX angles: performance, mobile onboarding, and accessibility experiments
- Includes metrics-to-track section for activation and onboarding KPIs
- Organized into eight experiment theme areas from flow simplification through technical UX
Adoption & trust: 1 installs on skills.sh; 24 GitHub stars; trending (+100% hot-view momentum).
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Journey fit
Primary fit
Onboarding and activation optimization sits in Grow because it compounds retained users after launch, even though experiments often start during Validate prototyping. Lifecycle is the canonical shelf for first-run flows, activation milestones, and re-engagement—not one-off landing copy.
SKILL.md
READMESKILL.md - Onboarding
# Onboarding Experiment Ideas Comprehensive list of A/B tests and experiments for user onboarding and activation. ## Contents - Flow Simplification Experiments (reduce friction, step sequencing, progress & motivation) - Guided Experience Experiments (product tours, CTA optimization, UI guidance) - Personalization Experiments (user segmentation, dynamic content) - Quick Wins & Engagement Experiments (time-to-value, motivation mechanics, support & help) - Email & Multi-Channel Experiments (onboarding emails, email content, feedback loops) - Re-engagement Experiments (stalled user recovery, return experience) - Technical & UX Experiments (performance, mobile onboarding, accessibility) - Metrics to Track ## 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 m