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SaaS planning & launch

Buying a CodeCanyon script gets you working code, but a product is more than code — it needs a plan, a paper trail, and a launch. This guide is the map for that non-code half: the five phases every SaaS moves through, the documents each phase produces, how to keep release notes honest (without leaking internals), and what a launch actually requires. Read it once to build the mental model; the playbooks are where you execute the deploy, security, and vendor-update mechanics it points to.

A purchased script is the easy 30%. The hard 70% is everything around it: did you validate the idea, can you take money safely, will you survive launch-day traffic, and can a future-you reconstruct why a decision was made? Planning docs are not bureaucracy — they are the difference between a side project and a business.

The trap with a CodeCanyon base is skipping straight to “ship it.” You already have a login page, so it feels done. But the script ships without test coverage, security hardening, legal pages, or a payment lifecycle — and those are exactly the things that block a real launch. A light planning pass surfaces those gaps before a customer does.

Every SaaS — greenfield or purchased — moves through the same five phases. Each one has a goal and a milestone that gates the next.

flowchart LR
P1["1 · Validation<br/>prove it's worth building"] --> P2["2 · Planning<br/>define what to build"]
P2 --> P3["3 · Development<br/>build it"]
P3 --> P4["4 · Launch<br/>go to market"]
P4 --> P5["5 · Operations<br/>support & scale"]
PhaseGoalGate / milestone
1 · ValidationProve the idea is worth buildingGo / No-Go decision
2 · PlanningDefine exactly what to buildPRD + architecture approved
3 · DevelopmentBuild the productMVP complete
4 · LaunchGo to marketPublic launch
5 · OperationsSupport and scaleProduct-market fit

A rough timeline for a brand-new product is 16–24 weeks to MVP. A CodeCanyon project compresses this — you skip most of Validation and Development because working code already exists.

Greenfield vs retrospective — pick your track

Section titled “Greenfield vs retrospective — pick your track”

The phases are the same, but the entry point depends on whether you have working code yet. This is the first decision to make.

flowchart TD
Q["Do you have working code right now?"]
Q -->|"No — starting fresh"| A["Track A · Greenfield<br/>all 5 phases in order"]
Q -->|"Yes — CodeCanyon / purchased"| B["Track B · Retrospective<br/>audit first, then phases 2–5"]
Q -->|"Partial / broken"| C{"Is &gt;50% usable?"}
C -->|"Yes"| B
C -->|"No"| A
AspectGreenfield (Track A)Retrospective (Track B)
Starting pointNo codeExisting codebase
First moveProduct VisionCode audit
Planning time4–6 weeks2–3 weeks of analysis
RiskUnknown until builtKnown code quality, inherited debt
ControlFullInherit the vendor’s choices

A CodeCanyon project is Track B. You skip Validation (the idea is presumably proven by the script’s own sales) and instead run a retrospective: audit what the script actually does, find the gaps, and plan to close them. CodeCanyon scripts reliably ship with a working frontend, backend, and basic features — and reliably ship without test coverage, clean architecture, design tokens, security hardening, or CI/CD. Fix in this order: security issues first, then database integrity, then code organization, then tests.

The documentation framework — one doc per question

Section titled “The documentation framework — one doc per question”

Each phase answers a different question, and each question has a document that answers it. You do not need all seventeen at once — you need the right few at the right time. Here is the spine:

PhaseKey documentsThe question it answers
ValidationProduct Vision · Market Analysis · Personas · Business CaseShould we build this at all?
PlanningPRD · System Architecture (SADD) · Financial ModelWhat exactly are we building, and is it viable?
DevelopmentTech Specs · API Docs · Database Schema · Code StandardsHow is each piece built?
LaunchPitch Deck · Marketing Copy · Launch PlanHow do we go to market?
OperationsUser Docs · SOPs · Customer Success PlaybookHow do we support and grow it?

The two that matter most early are the PRD (Product Requirements — features, user stories, acceptance criteria) and the SADD (System Architecture — stack, database design, security, deploy strategy). They are the blueprint everything else builds on.

Use the first row that matches — and for a solo founder on a CodeCanyon base, write the minimum that unblocks the next step. Over-documenting is its own form of procrastination.

Your situationWrite this first
Brand-new idea, no codeProduct Vision, then Business Case (Go/No-Go)
Just bought a CodeCanyon scriptA retrospective code audit + gap analysis
About to start building featuresA lightweight PRD — even one page
Making a stack / architecture callAn architecture note (or an ADR) so future-you knows why
Approaching launchA launch plan + the legal pages

Release documentation — the two-audience split

Section titled “Release documentation — the two-audience split”

Once you are shipping updates, the single most important release-doc concept is that you write for two audiences with opposite needs. Conflating them is how internal details leak into a public changelog.

flowchart TD
CH["A change ships"] --> Q{"Would a regular user<br/>understand or care?"}
Q -->|"Yes"| PUB["Public changelog<br/>(user-facing, benefit-led)"]
Q -->|"No"| INT["Internal changelog<br/>(team: security, infra, refactors)"]

The golden rule is one question: “Would a regular user understand or care about this?” Yes → public. No → internal only.

AudienceWantsDoes not want
Internal (team)Every technical detail — security patches, infra changes, refactorsMarketing spin
Public (users)User-visible features and benefitsImplementation details

This means a two-changelog architecture: an internal CHANGELOG.md (updated per commit) and a public _CHANGELOG-PUBLIC.md (updated per release). Security fixes, dependency bumps, and refactors stay internal; new features and user-visible bug fixes go public. When a change is genuinely ambiguous (a new API endpoint, a schema change users can see), decide case by case — publish it only if a user can actually use or notice it.

Translate the language, too. The internal note says what you did; the public note says what the user gets:

Internal (what you did)Public (what the user gets)
Implemented caching layerFaster page loads
Fixed N+1 queryDashboard loads faster
Patched XSS vulnerabilitySecurity improvements
Refactored auth middleware(don’t mention)

Use Semantic VersioningMAJOR.MINOR.PATCH: breaking change → MAJOR, new feature → MINOR, bug fix → PATCH. On a CodeCanyon project there is a twist: you keep your own version line, separate from the vendor’s. Your v1.0.0 might sit on WorkDo v6.9.1. A breaking vendor update bumps your MAJOR. The fix is a correlation table in your changelog so the two lines never get confused:

Our versionVendor versionDateNotes
v1.0.0WorkDo v6.9.12024-12-01Initial release
v1.1.0WorkDo v6.9.12025-01-15Feature release
v2.0.0WorkDo v7.0.02025-03-01Major vendor update

The mechanics of applying a vendor update safely live in the vendor-updates playbook; the version-line model is taught in the version management handbook page.

“Launch” is not a day; it is a sequence with an iron rule: build the foundation before you build features. A useful nine-phase shape, with the load-bearing idea up front — do not write feature code until the infrastructure, security, legal, and payment layers exist.

flowchart TD
F["1 · Iron Foundation<br/>DNS · SSL · servers · CI/CD · error tracking"] --> S["2 · Security & Auth<br/>auth flow · 2FA · legal pages · GDPR"]
S --> PAY["3 · Payments<br/>gateway · subscriptions · webhooks"]
PAY --> M["4 · Monitoring & V1<br/>analytics · uptime · onboarding"]
M --> T["5 · Pre-launch testing<br/>QA · load test · security audit"]
T --> L["6 · Launch<br/>soft launch → public"]
L --> ST["7–9 · Stabilize · grow · scale"]

The order is deliberate and non-obvious:

  • Foundation first. DNS, SSL, staging environment, error tracking (Sentry), and a /health endpoint go in before any feature work. Installing error tracking on day one means you catch bugs during development, not after a customer hits them.
  • Legal blocks payments. Privacy Policy, Terms, and a cookie banner have to exist before a payment gateway will approve your account — so they are an early task, not a launch-week scramble.
  • Payments before complex features. Wire up the gateway, subscription logic, and — critically — webhooks (subscription created / updated / deleted) early. The ability to take money is foundational, not a finishing touch.
  • Soft launch before public. Invite 10–50 users, watch the error tracker like a hawk, fix bugs, then go public.

A solo founder does not need every phase on day one. The launch-essentials minimum is small: Privacy Policy, Terms, FAQ, a public changelog, and a deploy checklist — roughly two hours of work with generators and templates. Everything beyond that (knowledge base, status page, roadmap, blog) is “should have” or “nice to have” that you add as the product earns it.

Tools by phase — don’t deliberate, just pick

Section titled “Tools by phase — don’t deliberate, just pick”

Each phase has a well-trodden free-tier stack. The point is to stop deliberating and pick the boring, proven option:

PhaseJobGood default
ValidationSurveys / interviewsGoogle Forms, Calendly, Otter.ai
ValidationCompetitor researchG2, Product Hunt, Google Trends
PlanningDocs / diagramsNotion, Figma, Mermaid, dbdiagram.io
DevelopmentCI/CD · errors · testsGitHub Actions, Sentry, Playwright/PHPUnit
LaunchEmail · analyticsSendGrid, PostHog/Plausible
OperationsSupport · billingCrisp, Stripe

A complete free-tier stack (Notion, Figma, GitHub, Sentry, Plausible, Crisp, SendGrid, Stripe) gets you to launch at roughly $0/month — the constraint is your time, not tooling cost.

This guide is the planning mental model. The runnable procedures live in the playbooks and handbook: