Onboarding

How a new user comes to understand and use SkillNet. This document sets the model (principles + flows), the architecture that supports it, and a phased plan. It is the measuring stick: any future onboarding screen is checked against this.

Related: degraded-mode-ux.md (states without a key), personalization.md (learner profile), audience-modes.md (organization / individual).

1. Guiding principle

It should set free, not tie down. SkillNet sells freedom and adaptation; onboarding has to feel the same. The filter for every decision: does this stop the user or free them?

From there, six pillars:

1. The platform is never empty. It starts with a demo course already set up (seed). No blank dashboard.
2. Guidance yes, but the door always open. A “step 1 of N” by default (many people want it and it is the path that converts the most), closable, reopenable, and remembers progress. Closing it does not punish with emptiness: you land on the full platform.
3. Value is discovered by touching it, instantly. The first win is pre-generated content (fast, no key, no waiting). Never a live generation as a welcome (slow = defeat).
4. The differentiator is the generative UI. These are not templates with swapped text: each lesson’s interface is composed for that content and that person. It is made evident with an ignorable nudge (“look at the same lesson for another person → it is different”).
5. Personalization is offered or inferred, never imposed. Capturing “how you learn” is optional; what is not asked is learned from behavior.
6. The key (API key) unlocks, it does not charge. Without a key you explore the demo; with a key you do it with your own content. You reach the key once value has already been seen and is wanted.

2. The architectural idea: capability-driven onboarding

The elegant point: onboarding, no-key degradation, and smart defaults are the same problem — “based on what is available and who you are, show one thing or another”. They are solved with a single source of truth instead of if (hasKey) scattered across the code.

                 ┌──────────────────────┐
   settings/env  │  Capabilities        │  ai, generation, tutor, tts, images
   keys          │  (what AI is there?) │  → GET /capabilities  (or /setup/status)
                 └──────────┬───────────┘
                            │  useCapabilities()
        ┌───────────────────┼────────────────────┐
        ▼                   ▼                    ▼
  Onboarding steps    UI elements          Degraded banners
  (filtered)          (<Gated requires>)   (degraded-mode-ux)

2.1 Capabilities — the source of truth

An object derived from the presence (and validity) of keys, exposed by the backend:

interface Capabilities {
  ai: boolean          // is there a usable LLM (nothing works without this)
  generation: boolean  // generate courses/lessons
  tutor: boolean       // tutor chat
  tts: boolean         // voice (mascot / podcast) — degrades to offline, see degraded-mode
  images: boolean      // infographics
}

• Backend: computed in one place (presence of LLM_API_KEY, TTS_API_KEY, OPENROUTER_API_KEY). Today GET /setup/status already exists and is the natural place (we already added onboarding_enabled to it).
• Frontend: a useCapabilities() hook. Any AI piece consults it; nobody hardcodes “there is a key”.

2.2 Declarative gating (static element vs. needs-a-key)

Instead of scattering conditionals, a single component/hook:

<Gated requires="tutor">
  <TutorPromptChip />        {/* only renders if capabilities.tutor */}
</Gated>

Rule: the AI element turns on only if its capability is present. Without a key it is not shown (not a dead end/error). Examples:

Design key: the no-key side must feel complete (the pre-baked content carries the value). The AI part is additive, not “the good stuff was hidden”.

2.3 Onboarding as data, not as a hardcoded flow

The tour is a declarative list of steps; joyride just consumes it. Adding/removing/reordering = editing data.

interface OnboardingStep {
  id: string
  role: 'employee' | 'admin'
  target: string           // selector of the element to highlight
  title: string; body: string
  requires?: keyof Capabilities   // step is skipped if the capability is missing
  order: number
}

Runtime filter: steps.filter(role).filter(cap => !s.requires || capabilities[s.requires]). A step that talks about the tutor disappears without a key, with no ad-hoc branches.

2.4 Onboarding state — per user, persisted, reopenable

interface OnboardingState { completed: boolean; dismissedAt?: string; lastStepId?: string }

• Orthogonal to routing: it never forces a redirect (the ONBOARDING_ENABLED flag already exists).
• MVP: localStorage. Later phase: per-user field (cross-device).
• Reopenable from a persistent “?”; lastStepId gives the “remember where I was” behavior.

2.5 Smart defaults — a resolver from the org archetype

The admin gives a minimal hint (education / enterprise) → a resolver maps archetype → defaults.

type Archetype = 'education' | 'enterprise' | ...
function resolveDefaults(a: Archetype): OrgSettings   // e.g. enterprise ⇒ mascot off

• One single resolver, not scattered conditionals.
• Values are defaults, always overridable (user/org).
• Every automatic decision is shown and reversible (“We turned off the mascot because this is an enterprise environment — change it here”). Never silent magic.

2.6 Shared demo = first-class asset

The test course is a seed present in every deployment (is_demo), an example for both roles: the admin sees “this is what gets generated”, the employee does it. Visible without a key (already generated). With a key, the same course becomes conversable (tutor) and adaptable/regenerable — the key does not change what you see, it changes how much you can do with it.

3. Flows (one pattern, two fillings)

Branches only on the role; each branch is minimal. Common structure: framing → one capture that matters → first win.

3.1 Employee (account created by the admin; never touches the key)

1. Login → non-empty home (enrolled in the demo / their courses) + a gentle “start here”.
2. Default, closable tour: “open your first lesson” → tap a lesson that is already pre-generated and personalized (instant, prewarm). Aha = rich and adapts.
3. Optional micro-capture: “how do you like things explained? (optional)” → presets + “other” (the “other” only with a key). Skippable → default profile + behavioral inference.
4. Contrast nudge (ignorable): “here is how we explain it to another person” → same material, different UI → captures personalization.
5. From there, just learn.

3.2 Admin / owner (self-hosts and sets up the organization)

1. Minimal setup (already exists) + one archetype question (education/enterprise → defaults).
2. Non-empty dashboard with the demo course + closable tour.
3. Discover the generative UI by touching the demo (same two-person contrast).
4. “Make it yours” moment: “Create your first course”. If there is no key → “connect your AI” (why + link to the provider + paste + live validation). It is not a toll: you arrive here already convinced. Meanwhile, everything is explorable; AI actions show “connect a key” in their place.
5. Real generation = in the background + notification. Never a loading bar as a welcome.
6. Invite employees.

4. Phased plan (cheap → expensive; nothing complex up front)

Tour engine: react-joyride (spotlight, “step 1 of N”, skip/close, step control). We provide the data and state (§2.3, §2.4), not the engine.

Status (2026-08-21): Phase 0 ✅, Phase 2 infra (Capabilities/<Gated>) ✅, and the degraded-mode banner ✅ are done and on main; the admin tour (Phase 1) too. What remains, with a decision/design step in between: the 3-way archetype + resolveDefaults, the contrast nudge, the API key from the UI, background generation, and Phase 3.

Phase 0 — MVP ✅ DONE

• Non-empty home with the demo (seed). ✅
• Joyride tour for employees (home → first pre-generated lesson), closable, localStorage. ✅
• Non-blocking profile (ONBOARDING_ENABLED + existing capture). ✅
• Only static elements. ✅

Phase 1 — make the differentiator visible ◑ PARTIAL (remainder: pending design)

• ○ Contrast nudge (two people, seed data) — pending.
• ✅ Admin tour — done: role-aware ProductTour (same joyride, admin steps).
• ○ 1 smart default: enterprise/education archetype → resolveDefaults (enterprise turns off the mascot) + the line that explains it — pending (needs archetype backend).

Phase 2 — the self-hosted unlock (the AI layer) ◑ PARTIAL

• ✅ Capabilities + useCapabilities() + <Gated> (§2.1–2.2) — infra done (backend derives it from the keys and exposes it at /setup/status; the frontend consumes it).
• ✅ Degraded-mode banners (CapabilityHealthBanner in admin) — done.
• ○ API key from the UI (paste + validate) — pending (storage/security decision).
• ○ Turn on the requires: free-form “other”, generated preview, tutor chat.
• ○ Background generation + notification.

Phase 3 — the complex part, last ○ PENDING

• Infer the profile from behavior (what they open/re-read/skip). Separable signals module.
• Cross-device onboarding state, finer archetypes.

5. What already exists vs. what’s missing

6. Summary in one sentence

Full platform from the start · guidance by default but always closable and reopenable · value by touching, not by telling · profile offered or inferred, never imposed · self-chosen and reversible defaults · the key unlocks, it does not charge — all under a clean engine: the app declares what it needs (capability × role) and a resolver decides what to show and how to degrade.