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Micro-SaaS Launch Plan: Pricing, Validation, MVP and First Users

Plans the launch of a micro-SaaS in seven phases: 3-tier pricing with projections, idea validation, a pruned MVP scope, a no-code stack choice, pre-sell landing page copy, a 30-day onboarding flow and cold outreach scripts for beta testers.

micro-saaspricingmvpno-codeonboarding
  1. Phase 1 — 3-tier pricing strategy
    My SaaS product: [SaaS product]
    My cost structure: [amount]
    Competitor pricing: [range]
    
    Task: design a pricing strategy with 3 tiers that applies anchoring, charm pricing and the decoy effect. Include:
    - a recommendation between freemium, free trial and paid-only
    - naming conventions for the tiers
    - ARPU and churn projections, each with confidence intervals
    - a schedule of pricing A/B tests
    
    Present the tiers and the projections as tables.
  2. Phase 2 — Validate the niche
    Target audience: [audience]
    My skills: [list]
    Time I can spend building each week: [hours weekly]
    
    Task: validate a micro-SaaS idea for this audience, looking for a pain that keeps coming back and value that can be clearly measured. Include:
    1. A validation framework in 3 steps: customer interviews; a landing page tested with 200-300 visitors; a threshold that tells me when to pivot
    2. A worksheet that helps me spot manual workflows people currently keep alive in spreadsheets
    3. A screener template to use before each interview
    
    If any of the inputs above is missing, ask me for it before you begin.
  3. Phase 3 — MVP scope
    My SaaS idea: [SaaS idea]
    No-code platform I will build on: [choice]
    Launch deadline: [date]
    
    Task: scope an MVP for this idea by applying strict pruning rules.
    1. Map the user flow from start to finish.
    2. Remove everything that is not essential.
    3. Define the metrics that mark success: time to value, activation rate, retention.
    4. Build a feature prioritization matrix that scores effort against impact, presented as a table.
    5. Add a "save for v2" parking lot for the features that are cut.
  4. Phase 4 — No-code stack choice
    Type of SaaS: [SaaS type]
    My technical comfort: [level]
    Budget: [amount]
    
    Task: recommend a no-code platform stack for this SaaS, based on its exit strategy and how complex it needs to be. Put these platforms side by side: Bubble, FlutterFlow, Adalo, Appy Pie AI. Compare them on launch speed, backend logic and how realistic a later migration is.
    
    Deliver:
    - a decision matrix with weighted scoring, as a table
    - a template for a migration contingency plan
  5. Phase 5 — Pre-sell landing page copy
    SaaS name: [SaaS name]
    Target audience: [description]
    Unique value proposition: [statement]
    
    Task: write the copy for a landing page that pre-sells the product before it is built. Include:
    - the hero headline
    - a grid of benefits
    - pricing teasers
    - FAQ
    - the setup of a payment link for founding members
    
    Also provide a template that runs on a free tech stack, and a swipe file with 5 proven hero formulas for SaaS.
  6. Phase 6 — 30-day user onboarding flow
    Product: [SaaS product]
    Product complexity: [level]
    Team size: [number]
    
    Task: build a user onboarding flow lasting 30 days, split into four phases: activation, adoption, expansion and retention. Include:
    - welcome automations
    - health scoring with these bands: 80+ healthy, 50-79 watchlist, 0-49 at risk
    - 6 rescue sequences
    
    Also provide a daily checklist template with an owner assigned to each item, and a 7-day roadmap of quick fixes.
  7. Phase 7 — Cold outreach for beta testers
    My SaaS product: [SaaS product]
    Target audience: [audience]
    Size of my existing network: [size]
    Value proposition: [statement]
    
    Task: write 3 cold outreach scripts to recruit beta testers. Rules for each script:
    - subject line under 50 characters
    - body under 150 words
    - 2-3 follow-ups, spaced 3-5 days apart
    
    Also give reply rate benchmarks (10-20% is good, 20%+ is excellent) and a rubric for scoring how personalized a message is.
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