Flagship Skill · Onboarding wizard design
The onboarding wizard design skill.
Wizards that earn the user's first session by engineering the ah-ha moment.
A senior product marketing director's playbook for designing first-run product onboarding wizards. Step architecture, progressive disclosure, escape hatches, completion incentives, drop-off measurement.
Audience: product marketers, growth marketers, in-house product teams, agencies running activation work for SaaS clients.
What this skill is for
Growth tooling, grouped by funnel stage.
12 skills across the Growth Tooling track. Onboarding-wizard-design opens the Activate stage: post-signup tools that get users to value. Together with interactive-product-tour and chatbot-flow-design, the trio covers the activation surface.
Capture
- lead-magnet-design
Gated content that earns the email.
- calculator-design
Interactive calculators with transparent methodology.
- quiz-and-assessment-design
Quizzes producing actionable segmentation.
- multi-step-form-design
Forms broken into coherent steps.
Activate
- onboarding-wizard-design (this skill)
First-run wizards that engineer the ah-ha moment.
- interactive-product-tour
Contextual tours that surface at moments of friction.
- chatbot-flow-design
Conversational flows grounded in knowledge.
Convert
- scheduler-and-booking-design
Schedulers that earn the better call.
- upgrade-flow-design
Free-to-paid flows triggered by demonstrated value.
- comparison-tool-design
Comparison tools with honest recommendations.
- product-configurator-design
Configurators with smart defaults and constraints.
Architect
- funnel-flow-architecture
Cross-tool architecture matching audience and stage.
The keystone distinction
Three positions. Both extremes are failure modes.
Failure mode
Tutorial-overload
Every feature explained in a 12-step intro before the user has touched the product. Cognitive overload. Users skip if they can; abandon if they cannot.
Failure mode
Skip-friendly-empty
"Skip onboarding" button at every step. Users skip; arrive at an empty product with no context. Activation rate falls off a cliff.
The discipline
Earned-progressive-disclosure
Each step earns the user one step closer to value. Surfaces the right thing at the right moment, not everything upfront. Skip exists but is friction-balanced.
Anatomy of an earned-progressive-disclosure wizard
Step 3 of 5 with honest progress and drop-off heatmap.
A coherent step (data connection); honest progress indicator (60%); skip available but friction-balanced. Drop-off heatmap surfaces step 3 as the high-friction step warranting remediation.
Step 3 of 5: Connect your data
60% complete
Choose a data source to get started
We will run your first query against this source so you can see how the platform works with your actual data.
Drop-off heatmap
Step 3 (data connection) is high-friction; remediation: stronger defaults, clearer skip path, support escalation.
The framework
Twelve considerations for onboarding wizard design.
- 01The wizard decision (or contextual help)
- 02Earned-progressive-disclosure, not overload or skip-empty
- 03Step architecture sound
- 04Ah-ha moment engineered
- 05Progressive disclosure applied
- 06Skip mechanics honest
- 07Resume mechanics work
- 08Drop-off measurement instrumented
- 09User-type variations balanced
- 10Mobile parity
- 11Activation as success metric
- 12Maintenance discipline
What is in the skill
Thirteen sections covered in the body.
01
What this skill covers
First-run product onboarding wizards. Distinct from multi-step-form-design (pre-signup) and interactive-product-tour (contextual).
02
The wizard decision
When wizards earn the build vs when contextual help suffices.
03
Tutorial-overload vs skip-friendly-empty vs earned-progressive-disclosure
The keystone framing. The litmus test for wizard quality.
04
Step architecture
Identity, context, critical setup, first-action, configuration deferral, confirmation. Convergence on ah-ha moment.
05
The ah-ha moment design
Action-tied, single-shot, visible, honest. Designing the wizard to converge.
06
Progressive disclosure patterns
Default-heavy, required-now-optional-later, expand-on-demand, branching.
07
Skip and resume mechanics
Skip honest about consequences; resume mechanisms work.
08
Drop-off measurement and remediation
Per-step instrumentation. Common drop-off patterns.
09
Wizard variations by user type
Admin vs end-user, technical vs non-technical, size-based branching.
10
Common failure modes
9+ patterns: high completion + low activation, skip rate too high, returning users hit broken steps.
11
The framework: 12 considerations
Decision, earned-progressive-disclosure, step architecture, ah-ha moment, progressive disclosure, skip honest, resume works, instrumentation, variation, mobile, activation metric, maintenance.
12
Reference files
Nine references covering decision criteria, step architecture, ah-ha moment engineering, progressive disclosure, skip-and-resume, drop-off measurement, user-type variation, anti-patterns, failures.
13
Closing: wizards earn the user's first session
The wizards that compound activation are the ones that engineer the ah-ha moment without overwhelming.
Reference files
Nine references that go alongside the SKILL.md.
references/wizard-decision-criteria.md
When wizards earn the build vs when contextual help suffices.
references/step-architecture-patterns.md
What belongs in each step. Sequence logic. Step coherence test.
references/ah-ha-moment-engineering.md
Identifying the ah-ha moment; designing the wizard to converge on it.
references/progressive-disclosure-patterns.md
Default-heavy, required-now-optional-later, expand-on-demand, branching.
references/skip-and-resume-mechanics.md
Skip patterns and resume patterns. The skip-friendly-empty failure.
references/drop-off-measurement-templates.md
Per-step instrumentation. Common drop-off patterns.
references/user-type-variation-patterns.md
Admin vs end-user, technical vs non-technical, size-based branching.
references/wizard-anti-patterns.md
The patterns that look like onboarding but degrade activation.
references/common-onboarding-failures.md
9+ failure patterns with diagnoses and cures.
Pairs with these platforms
Three platforms with onboarding-relevant workflows.
The skill is platform-agnostic. These platforms ship workflows that fit onboarding wizard programs: PostHog (per-step instrumentation), Notion (wizard spec and step-architecture documentation), AirOps (workflow automation for sequence and prep).
Product-led growth teams
PostHog
Open-source product analytics with experiments
Open the pageNotion-centric teams
Notion
Briefs as a queryable database
Open the pageContent teams that prefer managed workflow builders to build-it-yourself pipelines
AirOps
AirOps's official MCP and Claude Connector for AEO data and Brand Kits
Open the page
Bridges to other skills
Five sister skills that compose with onboarding wizard design.
Pre-signup counterpart
multi-step-form-designMulti-step-form-design is pre-signup data capture; this skill is post-signup product onboarding. Different phase, different audience state.
Contextual help (within product)
interactive-product-tourInteractive-product-tour is contextual help within the product across the lifecycle. Onboarding-wizard-design is the sequential first-run experience.
Upstream input
discovery-research-synthesisCustomer research informs the wizard's ah-ha moment design. Patterns surfaced through discovery often define what activation means.
Engineering handoff
pm-spec-writingWriting the spec for engineers building the wizard. This skill is about WHAT to build; pm-spec-writing communicates it.
Measurement support
experimentation-analyticsReading drop-off and activation data with rigor. This skill instruments; experimentation-analytics interprets.
Growth Tooling Tier 2 opens
First skill in the activation cluster.
Onboarding-wizard-design opens Tier 2 with interactive-product-tour. Together they cover the activation cluster.
Tier 2 closes the Growth Tooling track at 12 skills total (6 Tier 1 + 6 Tier 2), spanning Capture, Activate, Convert, and Architect phases of the funnel.
The catalog now carries 98 flagships across 8 categories.
Open source under MIT
Read the SKILL.md on GitHub.
The skill source lives in the rampstackco/claude-skills repository. MIT licensed.
Frequently asked questions.
- How is onboarding-wizard-design different from multi-step-form-design?
- Multi-step-form-design is pre-signup data capture: forms before the user has access to anything. Onboarding-wizard-design is post-signup product onboarding: the wizard the user sees inside the product after signup. Different phase, different audience state, different design considerations.
- What is the ah-ha moment?
- The single visible moment when the user feels 'oh, this is what the product does for me.' Action-tied (the user did something), single-shot (one specific moment), visible (the user saw the result), honest (real value, not contrived). The wizard's job is to engineer this moment within the user's first session.
- What is wrong with tutorial-overload?
- Every feature explained in a 12-step intro before the user has touched the product. Cognitive overload. Users skip if they can; abandon if they cannot. The wizard's design effort produces a sequence almost nobody completes; activation rate suffers because users did not reach the value-giving moment.
- What is skip-friendly-empty?
- 'Skip onboarding' button so prominent that users always take it. They land in unconfigured product; have no context; churn within hours. Activation rate falls off a cliff because users never set up the basics that make the product functional.
- When should we use a wizard vs contextual help?
- Wizards work when the product has meaningful setup before value emerges, when the ah-ha moment requires multiple actions in sequence, and when the audience expects guided onboarding. Contextual help (tooltips, in-feature hints) often serves better when the product reaches value immediately or when the audience prefers self-directed discovery.
- What is the activation success metric?
- Activation = post-wizard product engagement, not just wizard completion. Define activation explicitly (e.g., user returned within 7 days and engaged with feature X). Wizard completion is leading indicator at best; activation is the metric that matters. Programs that track only completion keep shipping wizards that look successful but produce no engagement.