User Onboarding

User Onboarding

Scope

Covers

• Designing the first-time user experience (FTUE) from entry/signup → first value
• Defining activation / the “aha moment” and reducing time-to-value
• Creating a “first 30 seconds” experience and a “first mile” plan (milestones to activation)
• Onboarding mechanics: progressive disclosure, guided setup, empty states, templates, checklists, feedback loops
• Instrumentation + experiments to improve activation and early retention

When to use

• “Activation is low” / “users drop during signup/onboarding”
• “Time-to-value is too long”
• “The first session doesn’t feel magical”
• “We need an onboarding redesign / guided setup / empty state improvements”
• “Define our aha moment and design onboarding to get users there”
• “Create an onboarding experiment backlog + measurement plan”

When NOT to use

• You’re onboarding employees, customers to a service process, or running training -- not product onboarding (use onboarding-new-hires for employee onboarding).
• You don’t have a stable value proposition / ICP (use problem-definition or measuring-product-market-fit first).
• You need a full retention strategy beyond onboarding (use retention-engagement); this skill covers signup-to-activation, not post-activation lifecycle retention.
• You need to validate a prototype with real users (use usability-testing after creating a plan here).
• You need to design viral/referral loops or acquisition flywheels (use designing-growth-loops); this skill is about converting new users, not acquiring them.
• You want to apply behavioral science frameworks (habit loops, nudge architecture) as the primary design lens (use behavioral-product-design); this skill uses behavioral insights but is structured around the onboarding journey, not around psychological theory.

Inputs

Minimum required

• Product + ICP/segment(s) (1–2) and the primary job-to-be-done
• Platform + entry point (web/mobile; where FTUE starts)
• Best-available baseline metrics (even rough):
  • visit → signup → first key action → activation
  • time-to-value (time or sessions to first value)
  • D1 retention (if available)
• Current onboarding flow summary (steps/screens) and the biggest drop-off point(s)
• Constraints: timebox, eng/design capacity, allowed channels (in-app/email/push), privacy/legal/brand limits

Missing-info strategy

• Ask up to 5 questions from references/INTAKE.md, then proceed.
• If metrics are missing, proceed with explicit assumptions and label confidence.
• Do not request secrets or PII; prefer aggregated funnels and redacted screenshots.

Outputs (deliverables)

Produce an Onboarding & Activation Pack (Markdown in-chat; or as files if requested) containing:

1. Context snapshot (goal, segment, constraints, baseline)
2. Current FTUE map (step-by-step) + friction log
3. Activation / aha moment spec (behavioral definition + threshold + validation plan)
4. “First 30 seconds” experience spec (magic moment + success criteria)
5. “First mile” onboarding plan (milestones to activation; mechanics per milestone)
6. Experiment backlog (prioritized) + 3–5 experiment cards
7. Measurement + instrumentation plan (events, properties, dashboards, guardrails)
8. Rollout/rollback + risk plan
9. Risks / Open questions / Next steps (always included)

Templates and checklists:

• references/TEMPLATES.md
• references/WORKFLOW.md
• references/CHECKLISTS.md
• references/RUBRIC.md

Workflow (7 steps)

1) Intake + goal framing (activation-first)

• Inputs: User prompt; references/INTAKE.md.
• Actions: Define the primary segment and the activation outcome. Make the goal measurable (baseline → target, date). Capture constraints and guardrails (e.g., don’t increase drop-off, don’t add dark patterns).
• Outputs: Context snapshot + goal statement.
• Checks: Goal is one sentence with a metric, baseline, target, and date.

2) Map the current first-time journey (FTUE)

• Inputs: Current flow description/screens; funnel + drop-offs; support/sales notes if available.
• Actions: Create a step-by-step journey map from entry → first value. Log frictions (confusion, time, permissions, empty states, choice overload). Identify the single biggest leak.
• Outputs: FTUE map table + friction log + primary leak.
• Checks: Every step has a user goal, product action, and a measurable checkpoint (event or proxy).

3) Define the activation / “aha moment” (behavioral)

• Inputs: Candidate value behaviors; available events; retention definition (if any).
• Actions: Propose 3–5 candidate “aha” behaviors and pick one activation definition with a threshold (e.g., “creates X and shares Y within 7 days”). Specify how to validate (correlation with D7/D30; holdout if possible).
• Outputs: Activation/aha moment spec + validation plan + instrumentation needs.
• Checks: Activation is observable, repeatable, and measurable (not “understands value”).

4) Design the “first 30 seconds” (make it feel magical)

• Inputs: Primary leak + activation spec; constraints.
• Actions: Specify what the user should see/do/feel in the first 30 seconds:
  • Remove or defer non-essential setup (progressive disclosure).
  • Deliver a fast, native, interactive win (avoid passive carousel “tours”).
  • Provide immediate feedback and a clear next action.
• Outputs: First 30 seconds spec (screen/script + success criteria).
• Checks: A new user can reach a meaningful “win” within ~30 seconds (or you document why not and the best proxy).

5) Build the “first mile” plan (milestones → activation)

• Inputs: Activation spec; journey map; UX constraints.
• Actions: Break activation into 3–6 milestones (the “first mile”). For each milestone, define mechanics (guided setup, defaults, empty states, templates, checklists, feedback, progress). Ensure onboarding is “inside the product,” not detached from real actions.
• Outputs: First mile onboarding plan + updated journey map.
• Checks: Each milestone reduces time-to-value and has a leading-indicator metric.

6) Instrumentation + measurement plan

• Inputs: Current analytics/events; proposed milestones; guardrails.
• Actions: Define the minimum event schema and dashboards needed (funnel, time-to-value, activation rate, early retention). Add guardrails (support tickets, cancellations, performance).
• Outputs: Measurement plan + event list/properties + dashboard outline.
• Checks: Every experiment and milestone has a primary metric and at least one guardrail metric.

7) Prioritize experiments + quality gate

• Inputs: Candidate interventions; measurement plan; references/CHECKLISTS.md and references/RUBRIC.md.
• Actions: Convert top opportunities into experiment cards; prioritize (Impact × Confidence ÷ Effort). Add rollout/rollback guidance. Run checklist + score rubric. Always include Risks / Open questions / Next steps.
• Outputs: Final Onboarding & Activation Pack.
• Checks: Top 3 experiments are runnable within constraints and have “win/lose/learn” criteria.

Anti-patterns (common failure modes)

1. Carousel tour syndrome — Replacing real interaction with passive slideshow walkthroughs ("Next, Next, Next, Done"); users skip without learning and arrive at an empty product with no context. Design onboarding inside real product actions, not layered on top.
2. Setup-wall abandonment — Requiring multi-step configuration (integrations, permissions, profile fields) before showing any value; each mandatory step is a drop-off cliff. Defer non-essential setup and deliver a fast "first win" within 30 seconds.
3. Vanity activation metric — Defining activation as "completed onboarding checklist" or "viewed dashboard" instead of a behavior correlated with retention; produces misleading activation rates that don't predict long-term usage.
4. One-flow-fits-all — Using the same onboarding sequence for all user types (admin vs. end-user, power user vs. casual, different ICPs) when segments have different jobs-to-be-done and different paths to value.
5. Ignoring the second session — Optimizing only the first session and neglecting the return visit; users who activate in session 1 still churn if session 2 lacks a hook, a reminder of progress, or a clear next action.

Quality gate (required)

• Use references/CHECKLISTS.md and references/RUBRIC.md.
• Always include: Risks, Open questions, Next steps.

Examples

Example 1 (B2B SaaS, guided setup):
“Use user-onboarding. Product: workflow automation tool for SMB ops. Segment: new self-serve admins. Baseline: 42% signup completion, 9% activation within 7 days. Problem: users stall at connecting integrations. Constraint: 3-week sprint, 1 engineer, 1 designer. Output: an Onboarding & Activation Pack with an activation spec, a first-30-seconds + first-mile plan, and a prioritized experiment backlog.”

Example 2 (B2C app, time-to-value):
“Our first session feels flat. Redesign onboarding so users experience value within 30 seconds, define the activation event, and propose 5 experiments with metrics + guardrails.”

Boundary example (not product onboarding): “Create an employee onboarding program for new hires.” Response: this skill is for product user onboarding, not employee onboarding; use onboarding-new-hires for HR/employee programs.

Boundary example (post-activation retention): “Our users activate fine but churn after week 3. Build a retention strategy with re-engagement campaigns.” Response: post-activation retention is beyond the scope of onboarding; use retention-engagement for full-lifecycle retention strategy. This skill covers signup through activation only.

Boundary example (growth loop design): “Design a referral program so activated users invite their teammates.” Response: referral/viral loop design is an acquisition growth loop, not onboarding; use designing-growth-loops. This skill focuses on converting new users to activated users, not on acquiring new users through loops.