Requirement to software Delivery in midsize comp CHEATSHEET

Published: (January 11, 2026 at 10:08 PM EST)
3 min read
Source: Dev.to

Source: Dev.to

Process Overview

In a modern mid‑size startup (≈ 50–200 employees), the software development process balances the speed of a small team with the predictability required by investors and stakeholders. The workflow follows a Discovery → Planning → Execution loop rather than ad‑hoc coding.

Phases

PhaseKey ActivityOutput
EstimationPointing session with developersSprint Backlog
ExecutionCoding, Code Reviews (PRs), CI/CDFeature Branch
QA/UATAutomated testing & stakeholder reviewRelease Candidate
LaunchFeature flags & phased rolloutLive Feature

Initiation

  • Triggered by data, customer feedback, or strategic goals.
  • Catalysts: Product Management (user feedback/analytics), Leadership (strategic pivot), or Sales/Customer Success (high‑value client requests).

Discovery Phase

  • A Discovery squad (Product Manager, Lead Designer, Tech Lead) validates the idea before any code is written.
  • Activities: user interviews, technical feasibility spikes.
  • Key output: Product Requirements Document (PRD) – a living document (e.g., Notion, Confluence) containing problem statement, target user, user stories, success metrics (KPIs), and out‑of‑scope items.

Planning

  • Designers receive the PRD, analyze requirements, and produce high‑fidelity mockups (usually in Figma).
  • The Tech Lead discusses the PRD and UI mockups with engineers, identifies edge cases, and drafts a Technical Design Document (RFC/TDD) covering system architecture, database changes, API designs, metric‑gathering plan, and release plan.
  • The design is peer‑reviewed across the engineering team.

Backlog Grooming

  • Product Manager and Engineering Lead break the PRD into tickets (tasks) in a tool like Jira.
  • Each ticket receives Story Points for effort estimation.
  • Teams typically use Scrum or Kanban with 2‑week sprints.

Execution

  • Development proceeds in sprints: coding, pull‑request reviews, continuous integration/deployment.
  • Daily stand‑ups (≈ 15 min) keep the team aligned.

QA / UAT

  • Automated tests run continuously.
  • Stakeholders perform User Acceptance Testing on a release candidate.

Launch

  • Features are released behind feature flags for phased rollout.
  • A “dark launch” (code deployed but hidden) precedes full release.

Supporting Practices

  • Asynchronous Documentation: All decisions and updates are written down for asynchronous consumption.
  • Product Roadmap: High‑level quarterly timeline (Now, Next, Later).
  • RACI Matrix: Defines who is Responsible, Accountable, Consulted, and Informed.
  • SLAs: Document expected uptime and performance for the new feature.

Tooling

  • Project Tracking: Linear, Jira, Asana
  • Documentation: Notion, Confluence, GitHub Wiki
  • Design: Figma
  • Communication: Slack (integrated with GitHub/Jira)

Example Timeline for a Medium‑Sized Feature (e.g., new dashboard)

WeekActivity
1‑2Discovery: research, PRD drafting, stakeholder alignment
3Technical Design: RFC/TDD writing, peer review, Figma prototyping
4‑7Development: 2‑3 sprints of coding, daily stand‑ups
8Testing & Polish: bug fixing, User Acceptance Testing
9Deployment: dark launch → full release

Post‑Launch Activities

  • User Feedback & Analytics: Monitor tools like Amplitude, Mixpanel, Google Analytics to assess impact against PRD goals.
  • Observability & Monitoring
  • Feature Flag Cleanup
  • Technical Debt Management (e.g., “Nothing is more permanent than a temporary solution”)
  • Performance Tuning

Post‑Launch Review (formal meeting 1–2 weeks after launch)

SectionDescription
What went well?Example: “The RFC process caught a major security flaw early.”
What went wrong?Example: “Figma designs missed a mobile view, causing a 2‑day delay.”
Timeline Reality vs. EstimateCompare actual sprints to planned sprints and explain variances.
Action ItemsConcrete steps to avoid repeat mistakes in future projects.
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