Insights on product requirements, PRD best practices, and building better specs.
Projan runs the decision once and writes it twice — work items into Azure Boards with dependencies linked, and the spec into the Wiki — from a single agreed session.
Projan reads your GitHub issues and PRs straight into a planning session as grounding — so the plan you agree reflects the code that already exists, not a guess about it.
Projan does the thinking before the board: one light conversation, then clean Trello cards with the acceptance criteria already written, nothing added to your setup.
Projan brings facilitated planning to non-technical teams on monday.com — a real conversation in, agreed board items and a spec doc out, no jargon required.
Projan turns the conversation behind a decision into a Confluence page worth reading — the agreement, the reasoning and the rejected options, written as the team lands them.
Projan runs the cross-functional alignment that a launch needs up front, then lays the agreed work into Asana as tasks with owners, criteria and dependencies.
Projan plugs into Teams where enterprise decisions actually happen — channels and meetings — and carries the outcome through to your tracker, transcript and all.
ClickUp holds the tasks and the docs; Projan supplies the agreement that should sit behind both, then writes the doc and the tasks from the same session.
Projan front-loads the thinking a fast Linear team usually skips, then drops fully-scoped issues into the cycle — dependencies linked, no ceremony added.
Projan joins the channel as a facilitator, not another notification bot — it runs the planning thread, holds the decisions, and turns the agreement into real work.
Projan runs the conversation that turns a Notion workspace from a graveyard of half-written docs into a place where decisions get made and written down at the same time.
Jira tracks the work. Projan runs the argument that decides the work — then hands your board epics and stories the team genuinely agreed on.
Learn how to write a Product Requirements Document (PRD) that developers actually use. Includes templates, examples, and tips from experienced PMs.
AI coding agents are only as good as the requirements you give them. Here's a practical framework for turning vibe coding into structured, reliable development.
AI coding agents can build features in minutes. But without clear requirements, they build the wrong features in minutes. Here's what goes wrong when you vibe code without a plan.
Sharing an honest public roadmap builds user trust, improves feedback quality, and creates advocates. Here's how to do it without handing competitors your playbook.
We said yes to every feature request and built a product that did 20 things badly. Cutting 70% of features saved us. Here's the full story and how to prevent scope creep.
Before building your SaaS, have these 5 critical conversations: potential users, your technical cofounder, someone who failed, a competitor's customer, and yourself.
Investors don't care about your tech stack. They want milestones tied to business outcomes, clear trade-offs, and a realistic 6-12 month plan. Here's what to show them.
AI features need requirements that traditional specs don't cover: error rates, fallback behaviors, evaluation criteria. Here's what an AI feature spec should include.
Solo founders skip planning because there's nobody to plan for. That's exactly why they need it most. Your blind spots ship to production when nobody catches them.
PMs spend too much time formatting documents and not enough time thinking. Here's why treating PRDs as literary works is killing your product team's velocity.
An agency requirements template that cut client revision rounds by 60%. Walk through each section, including the 'out of scope' clause that changed everything.
A simple 10-minute planning ritual before each coding session that prevents side projects from dying. Five steps to stay focused with limited time.
Writing detailed changelogs drove signups and SEO traffic. Here's how treating each entry as a mini story turned a boring update log into a marketing asset.
A startup team built for 3 months based on Slack messages and verbal agreements. Here's what happened when they shipped, and how to avoid the same mistake.
What a student team changed to turn their capstone project into a credible YC application. Academic docs vs startup docs, and why the difference matters.
The 'edge cases' discovered during development are usually planning failures. Here's why PMs should catch them during requirements, not QA.
A SaaS startup nearly lost their Series A because they couldn't articulate their roadmap. Here's how writing it down saved the deal.
Most AI project failures aren't about the model. They're about unclear requirements. Here's how to write requirements for AI features that actually work.
A practical checklist of documentation every startup needs before demo day: product vision, technical architecture, user research, roadmap, and financials.
The indie hacker's biggest trap: building features that are fun instead of features users need. Here's how to break the cycle.
When a client gives you total creative freedom, it sounds like a dream. Here's why it's actually a requirements disaster waiting to happen.
Learn how to write acceptance criteria that developers love. 5 real examples of bad AC rewritten as good AC using the Given/When/Then pattern.
Cofounder roadmap disagreements are normal. Here's a framework to resolve them without damaging the relationship or stalling your startup.
Side projects die because of context switching, not motivation. A 10-minute habit at the end of each session can keep your project alive between weekends.
Building in public gets romanticized as free marketing. The real value isn't followers or customers. It's the planning discipline it forces on you.
Vague requirements become specific when you ask one question: 'How will we know this is done?' Here are real examples of how it transforms PRDs.
The biggest hackathon mistake is jumping straight to code. Winning teams plan first. Here's practical advice for your first hackathon from someone who's been on both sides.
AI capabilities shift constantly, but your product requirements don't have to. Separate the 'what' from the 'how' to write stable AI feature specs.
Agencies lose money on fixed-price work because scoping is bad. Here's how structured requirement gathering transformed our estimates and profitability.
A confession about the side project cycle: start excited, lose steam, abandon, repeat. The fix wasn't discipline. It was knowing what done looks like.
Most MVPs blow past their timeline because founders skip requirements. Here's why scope creep happens and how to actually ship a minimum viable product.
Sprint planning keeps repeating the same problems: vague requirements, confused engineers, shifting scope. Here are concrete fixes that actually work.