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Leadup saas mvp planner

Skill leadupofficial/leadup-claude-skills/leadup-saas-mvp-planner

Plan a paid SaaS MVP for a LeadUp client or LeadUp's own product — target users, first paid feature, MVP modules, user roles, tenant model, admin panel scope, subscription pricing ideas, database plan, integrations, and launch roadmap. Tuned for Indian small-business SaaS plus international startups. Use when the user says "saas mvp", "build saas", "mvp plan", "paid mvp", "saas idea", or "subscription app".From its SKILL.md

Install
npx -y skills add leadupofficial/leadup-claude-skills --skill leadup-saas-mvp-planner

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SKILL.md

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LeadUp SaaS MVP Planner

Purpose

Take a SaaS idea (LeadUp's own or a client's) and produce a paid MVP plan small enough to ship in 6–10 weeks. Defines target users, the first paid feature, MVP modules, user roles, multi-tenant model, admin panel scope, subscription pricing direction, database shape, key integrations, and a launch roadmap.

When to use

Use when the user wants a SaaS MVP designed end-to-end. Do not trigger for the broader feature roadmap (use leadup-feature-option-planner), AI-only feature planning (use leadup-ai-feature-planner), admin-only design (leadup-admin-panel-planner), or actual code kickoff (leadup-project-kickoff).

Trigger phrases: "saas mvp", "build saas", "mvp plan", "paid mvp", "saas idea", "subscription app", "plan a SaaS", "MVP scope for SaaS".

Inputs needed

  • SaaS idea in 2–3 lines.
  • Target users (industry, role, country, scale).
  • Monetisation guess (subscription tiers, per-seat, per-location, freemium).
  • Team size + time-to-launch goal.
  • Constraints (regulated industry, India-first vs global, language).
  • Inspirations (3–5 SaaS to study).

Ask at most 2 clarifying questions if monetisation or audience is unclear.

Tools/resources to use

  • references/saas-mvp-framework.md — modules, tenant models, scoring.
  • assets/saas-mvp-roadmap.template.md — output shape.
  • leadup-feature-option-planner — for the broader roadmap once MVP is locked.
  • leadup-ai-feature-planner — if an AI feature is part of MVP.
  • leadup-admin-panel-planner — for the admin module.
  • leadup-pricing-package-planner — for subscription tiers later.
  • leadup-api-research-builder — for any third-party integration.
  • leadup-pii-risk-reviewer / leadup-security-review — if regulated.
  • leadup-project-kickoff — once MVP is approved.

Step-by-step workflow

  1. Restate the idea in one line + name the one paid job the MVP solves.
  2. Target users: list 1–2 primary personas with named role, named job, named country/market.
  3. First paid feature — the feature that justifies a credit card on day 1. Everything else exists to support it.
  4. MVP modules — ≤ 6 modules. List each with primary role + outcome.
  5. User roles — owner, admin, staff, customer, billing, etc. Keep minimum.
  6. Tenant model — single tenant, multi-tenant by row (org_id), or multi-tenant by schema. State why.
  7. Admin panel scope — list 4–8 admin modules (handed to leadup-admin-panel-planner).
  8. Subscription direction — monthly / annual / per-seat / per-location / freemium; pick one. Tiers are designed later by leadup-pricing-package-planner.
  9. Database plan — tables + key relationships + multi-tenant strategy + indexes flagged.
  10. Integrations — payments (Razorpay / Stripe), email, WhatsApp BSP, CRM, analytics; each with a hand-off to leadup-api-research-builder.
  11. Launch roadmap — weeks 0–N to MVP, then post-launch.
  12. Hand-offs explicitly.

Required output format

One Markdown plan with these sections, in this order:

  1. Brief restate — idea, audience, monetisation direction.
  2. The paid job — one sentence.
  3. Target users — 1–2 personas with role + job + market.
  4. First paid feature — what justifies a payment on day 1.
  5. MVP modules — table: module · primary role · outcome · complexity.
  6. User roles — list with core jobs.
  7. Tenant model — single / row-multi / schema-multi + why.
  8. Admin panel scope — list of modules + KPI cards.
  9. Subscription direction — model + billing period + currency + GST handling.
  10. Database plan — tables, relationships, multi-tenant strategy, flagged indexes, PII flagged.
  11. Integrations — payments / email / WhatsApp / CRM / analytics.
  12. Launch roadmap — week-by-week to MVP, then post-launch.
  13. Assumptions and data confidence — verified / estimated / requires verification.
  14. Hand-offs — to specific LeadUp skills.

Safety rules

  • Do not invent market size, ARR projections, customer counts.
  • Do not propose features that require licences the user doesn't have (fintech, healthcare, alcohol, gambling).
  • Do not ignore PII / payments scope — route to leadup-pii-risk-reviewer and leadup-security-review.
  • For India: payment KYC, GST invoicing, IT Rules, DPDP scope when in force.
  • For global: SOC 2 path for enterprise B2B, GDPR for EU.
  • Keep the MVP small enough that the team can ship it. ≤ 6 modules.
  • For AI features, route to leadup-ai-feature-planner for cost + fallback design.
  • Defer pricing-tier design to leadup-pricing-package-planner.
  • Defer admin design to leadup-admin-panel-planner.
  • Defer integration depth to leadup-api-research-builder.

Common mistakes

  • MVP with 15 modules — the team ships nothing.
  • "AI everywhere" with no clear user job.
  • Multi-tenant decision deferred → costly migration later.
  • Building admin first (clients pay for product, not admin).
  • Picking Stripe in India because it's familiar — Razorpay / Cashfree often fit better.
  • Underestimating WhatsApp BSP onboarding (3–7 days of approvals).
  • Ignoring the "first paid feature" question.
  • Promising launch in 2 weeks when the team can deliver in 6.

Troubleshooting

  • Idea is too broad: scope down to one persona + one paid job; the rest goes to Phase 2.
  • Idea is too narrow / unprofitable: surface the assumption ("how many users would pay $/month") and ask the user.
  • Highly regulated: route to compliance first; design with caps on what the MVP can do without licences.
  • AI feature is the main draw: route to leadup-ai-feature-planner and bring back the spec; ensure infra cost < tier price.
  • Multi-language at MVP: only if the primary market needs it; else defer to Phase 2.
  • User wants 2-week MVP: trim to one paid feature + the absolute minimum supporting modules; flag what's deferred.

Test prompts

Should trigger (5)

  1. "Plan an MVP for a salon booking SaaS in India."
  2. "Build a SaaS MVP for a clinic appointment platform."
  3. "MVP plan for a B2B booking tool, India + Middle East."
  4. "Paid MVP for a hostel-management SaaS."
  5. "Subscription app plan for a tutoring centre."

Should NOT trigger (3)

  1. "Plan all the features for our SaaS." (→ leadup-feature-option-planner)
  2. "Design just the admin panel." (→ leadup-admin-panel-planner)
  3. "Bootstrap the actual repo." (→ leadup-project-kickoff)

Functional test cases (2)

  1. Given "salon booking SaaS, India tier-2, team of 2, launch in 8 weeks", return ≤ 6 MVP modules, 1–2 personas, a named first paid feature, multi-tenant-by-row decision with reasoning, an admin scope handed to leadup-admin-panel-planner, integrations (Razorpay + WhatsApp BSP) handed to leadup-api-research-builder, and a weekly roadmap.
  2. Given a regulated category (a dental clinic SaaS storing patient notes), return an MVP that flags PII fields, routes to leadup-pii-risk-reviewer, recommends row-level multi-tenant with org_id + encryption at rest, and caps what the MVP can offer without sector compliance.

Success criteria

  • MVP has ≤ 6 modules.
  • Exactly one named "first paid feature".
  • Tenant model decided with reasoning.
  • Database plan flags PII and indexes.
  • Integration list is concrete with hand-offs.
  • Launch roadmap is week-by-week.
  • All hand-offs to other LeadUp skills are explicit.
  • No invented ARR / market-size numbers.

What ships with it: 2 files

10.2 KB alongside SKILL.md

references/

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