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Product Development
10 posts tagged "Product Development".
MVP development: from idea to launch in 8 weeks
How to build an MVP in about eight weeks: set the scope, test a prototype, build, launch. With a week-by-week plan, a sensible tech stack and the usual mistakes.
How to validate your startup idea before writing code
How to validate a startup or product idea without code: customer interviews, landing pages, fake door tests, concierge MVPs and pre-sales. Plus notes on GDPR.
MVP vs. Full Product: When to Scale Your Development
How to tell your MVP is ready to grow into a full product: real usage signals, technical limits, common mistakes and a step-by-step path to scaling up.
Product-market fit: how to know when you've found it
How to recognise product-market fit: which signals count, how to measure retention and demand, what the Sean Ellis test tells you and when to scale up.
Technical Debt in Startups: When to Pay It Down
Technical debt in startups: which shortcuts are fine, how to spot the dangerous kind, and when paying it down is worth more than shipping new features.
How to write a product requirements document that works
How to write a product requirements document for a software project: problem, users, core flows, scope limits and acceptance criteria. With an outline and pitfalls.
Build vs. Buy: A Decision Framework for Startups
Custom software or an off-the-shelf tool? A practical framework for startups: differentiation, total cost, integration, vendor lock-in and hybrid setups.
User feedback loops: building products users actually love
How to collect, analyse and act on user feedback systematically: sources, prioritisation, closing the loop with users and privacy in product analytics.
Prototyping Tools and Techniques for Non-Technical Founders
How founders without a technical background can test an idea: sketches, Figma prototypes, no-code tools, AI app builders and tests with real users.
From MVP to Series A: technology decisions that matter
The technical decisions founders face between MVP and Series A: architecture, data, security, team setup and what investors check in due diligence.