Nexera

THE ASK: Invest $180K to build an AI-Powered Learning Path Generator within 12 weeks, enabling personalized skill development for Nexera's 18,500 active students.

THE BET: We believe 65% of new signups will generate a learning path within 7 days (vs. current 12% event attendance rate), converting passive browsers into committed learners.

THE ROI:
18,500 active students (source: Jan 2025 GA data)
× 42% adoption (assumption — validate via pilot)
× $29 incremental LTV from engagement (source: 2024 ed-tech cohort analysis)
= $225K/year incremental revenue
If adoption is 40% of estimate: $90K/year

KILL CRITERIA: If <15% of new users generate paths by D30 OR <30% of paths see Week 1 milestone completion by D90, halt development.

WHAT THIS IS: An automated 8-week curriculum builder using student inputs to prescribe Nexera events/resources.
WHAT THIS IS NOT: Real-time adaptive tutoring or credential-granting system.

Coursera solves this via predefined "Specializations"; Udacity uses human-crafted "Nanodegree" tracks.

Our wedge is community-integrated upskilling because no competitor connects peer challenges with live events.

WHO / JTBD: When a computer science junior joins Nexera to prepare for product management roles, they need guided navigation through 300+ events/resources to avoid overwhelm and build relevant skills efficiently.

QUANTIFIED BASELINE:

BEHAVIORAL ROOT CAUSE: Users default to browsing because the platform lacks goal-based scaffolding — they disengage when unable to connect activities to career outcomes.

RECOVERABLE VALUE:
5,000 disengaged users/year × $29 saved retention cost = $145K/year

┌───────────────────────────────────────────────────────┐
│ **Learning Path Generator**                           │
├───────────────────────────────────────────────────────┤
│ [1/5] Career goal:                          ▾ PM ▾    │
│ [2/5] Current skill level:        ▾ Beginner ▾        │
│ [3/5] Preferred learning:  ▴ Lectures ▾ | Projects ▾  │
│ [4/5] Weekly time:                  ▾ 3-5h ▾          │
│ [5/5] Target domain:        ▾ SaaS startups ▾         │
│                                                     │
│ [Generate My Path]                                  │
└───────────────────────────────────────────────────────┘

┌───────────────────────────────────────────────────────┐
│ **Your 8-Week PM Path**                               │
├───┬──────────────────────────────┬──────────┬────────┤
│ Wk│ Event/Resource               │ Est.Time │ Status │
├───┼──────────────────────────────┼──────────┼────────┤
│ 1 │ [Live] PM Career AMA         │ 1h       │ [Join] │
│ 1 │ Figma for PMs (interactive)  │ 2h       │ [Start]│
├───┼──────────────────────────────┼──────────┼────────┤
│ 2 │ [Challenge] PRD Draft Contest│ 3h       │ [Lock] │
│ 2 │ User Interviewing Workshop   │ 1.5h     │ [Lock] │
└───┴──────────────────────────────┴──────────┴────────┘

CORE MECHANICS:

1. Inputs: 5-question onboarding (goals/skills/style/time/domain)
2. Algorithm: Content tagged with 12 metadata attributes (difficulty, format, role-relevance)
3. Output: Time-boxed path with weekly milestones (2 events + 1 resource + 1 challenge)
4. Adaptation: Recalibrates path if user misses milestones or completes early

KEY DECISIONS:

• Excluded real-time AI coaching (scope/complexity)
• Prioritized community challenges over third-party content (differentiation)

Phase 1 — MVP (10 weeks)
US1 — Path Generation

• Given new user completes onboarding questions
• When clicking "Generate Path"
• Then system outputs 8-week path with ≥3 resources/week matching all 5 inputs (P0)
  Failure Consequence: Invalid paths destroy trust → immediate churn

US2 — Progress Tracking

• Given user views path dashboard
• When marking resource as complete
• Then UI updates completion % in ≤800ms (P1)
  Validator: QA via 50-sample test paths

Out of Scope (Phase 1):

Phase 1.1 (4 weeks post-MVP):

• Email reminders for upcoming milestones
• "Extend Timeline" option

Phase 1.2 (6 weeks post-MVP):

• Integration with campus recruitment calendars

Primary Metrics:

Guardrail Metrics:

What We Are NOT Measuring:

• Total paths created (inflated by test accounts)
• "Satisfaction" scores (lagging, biased)
• Feature usage time (doesn't correlate to outcomes)

1. Performance:

   • Path generation latency ≤1.2s p95
   • Dashboard loads ≤1.8s at 5K concurrent users

2. Security:

   • Learning style/goal data encrypted at rest (AES-256)
   • GDPR-compliant data deletion workflow

3. Accuracy:

   • Resource recommendations match skill level with ≥92% precision (tested against 200 labeled samples)

4. Scalability:

   • Handle 500 path generations/hour (validated via 10x load test)

RISK 1 — Low Milestone Completion

• Probability: Medium | Impact: High
• Narrative: Users generate paths but abandon them when facing time conflicts, making the system a "ghost feature."
• Mitigation: Embed milestone reminders in event confirmation emails (Owner: Growth Lead by launch)

RISK 2 — Content Coverage Gaps

• Probability: High | Impact: Medium
• Narrative: AI recommends identical resources for niche roles (e.g., quantum computing PMs) due to sparse tagging.
• Mitigation:* Manual fallback paths for 5 low-coverage domains (Owner: Content Ops by D30)

RISK 3 — Recommendation Bias

• Probability: Low | Impact: High
• Narrative: Algorithm over-promotes partner-sponsored content, triggering user distrust.
• Mitigation:* Bias audit with external ML firm pre-launch (Owner: CTO by 2025-05-01)

KILL CRITERIA — Review if ANY met:

1. <500 paths generated in Month 1
2. Wk1 milestone completion <25% at D45
3. Support tickets for "irrelevant paths" >15% of total

SYSTEM FLOW:
User Input → [Recommendation Engine] → (Path Generator → Content Graph DB) → UI Rendering

CONTENT GRAPH DB SCHEMA:

• Nodes: Events/Resources tagged with {role_relevance, difficulty, format, time_estimate}
• Edges: Prerequisite relationships (e.g., "Figma tutorial" → "PRD Challenge")

ASSUMPTIONS VALIDATION:

Stage 1 (D0):

• Rollout to 20% of new users (India/SEA regions)
• In-app tooltip: "Get a custom learning plan in 5 mins"

Stage 2 (D14):

• Expand to 100% new users if:
  • Path gen rate >25%
  • CSAT ≥4.2/5

Stage 3 (D30):

• "Path Progress" digest emails to inactive users
• Campus ambassador program promotion

Decision: Path regeneration trigger
Choice Made: Manual user-initiated refresh only
Rationale: Avoids over-engineering; user control prevents frustration from auto-shifting deadlines. Rejected auto-trigger based on engagement spikes.
────────────────────────────────────────────────
Decision: Progress tracking depth
Choice Made: Binary completion status (done/not done)
Rationale: Simplifies MVP; rejects granular skill profiling (requires new assessment system).
────────────────────────────────────────────────
Decision: Content sources
Choice Made: Nexera-owned events/resources only
Rationale: Ensures quality control; rejects third-party integrations (complicates rights management).
────────────────────────────────────────────────
Decision: Failure recovery
Choice Made: "Reset Path" option after 2 missed milestones
Rationale: Prevents abandonment; rejects automated rescheduling (over-promises adaptability).

BEFORE/AFTER NARRATIVE:
Priya (CS junior, Bangalore)
Before: Joined Nexera to prep for PM roles. Overwhelmed by 50+ events, attended none. Bookmarked 12 resources but completed 0. Churned after 9 days.
After: Generated "APAC SaaS PM" path. Completed Week 1 resources pre-event. Attended "PM AMA" live, asked 3 questions. On track for Week 2 challenge.

PRE-MORTEM:
It is 6 months post-launch and this feature failed. The 3 reasons:

1. Users abandoned paths after missing one milestone with no recovery workflow
2. Engineering cut the progress-tracking API to hit deadlines, reducing perceived value
3. Competitor launched free path builder before our Phase 1.1

What success looks like: Campus recruiters mention Nexera paths by name during interviews. Community channels fill with path completion screenshots. The growth team stops running "re-engage inactive users" campaigns.