Explore methods to create a great product, from identifying customer needs to iterating on design and delivering exceptional value.
Building something useful isn’t a matter of luck. Every founder and product leader has wondered how to create a great product at some point. A “product” is more than features or code; it’s an experience that solves a problem and fits into people’s lives. In this guide I’ll share a simple, first‑hand playbook that has worked for us at Parallel and for early‑stage startups we’ve helped. The goal isn’t to give you a silver bullet. It’s to offer principles and tactics that will help you decide how to create a great product in your own context.
Products succeed when they solve real problems. Sounds obvious, yet many teams jump into solution mode without clarifying the problem. Needs are the underlying jobs or outcomes people care about. Wants are features users think they want, and pain points are the frustrations they feel today. Misclassify wants or pain points as needs and you risk solving the wrong problem. Spend time with people to learn what they do, say, think and feel. Interviews, field observation and surveys will show you patterns you won’t see from a desk. Empathy maps and customer experience maps help you synthesise this insight.
The design thinking framework starts with empathy for a reason. Nielsen Norman Group’s description of the process lists six stages: empathise, define, ideate, prototype, test and implement. Empathising helps you avoid building imaginary solutions. In our experience working with machine‑learning SaaS teams, weekly conversations with real users during discovery keep the product grounded. Don’t rely on your own perspective alone; your context is only one use case.
User insight is vital, but it exists within a broader market. Study adjacent markets, substitutes and emerging trends such as the rise of generative interfaces. Analysing competitors helps you spot gaps, opportunities and potential threats. Tools like SWOT analysis, feature benchmarking and positioning maps help you understand where your idea sits. Competitive analysis isn’t about cloning others; it’s about making informed choices about differentiation.
You need to tell customers why your product matters. A strong value proposition states the problem you solve, the outcome you enable and why your approach is better than alternatives. It balances value against feasibility and cost. Specific outcomes are more convincing than buzzwords. For example, instead of “we use machine learning to improve onboarding,” say “we help new users get up to speed in five minutes.” Test your value proposition early through conversations, surveys or landing pages. Adjust it based on feedback. In our work, we’ve found that testing pricing alongside value propositions can uncover who is truly willing to pay.
Great ideas rarely come from a vacuum. They come from mixing user insights with technology shifts and inspiration from adjacent spaces. At Parallel we draw from complaints, unmet needs, tech trends and “what if” questions. Structured brainstorms, hackathons and cross‑functional ideation sessions encourage a broad range of concepts. The SCAMPER framework (substitute, combine, adapt, modify, put to another use, eliminate, reverse) is a practical tool for reframing existing solutions.
Quantity matters at this stage. Withhold judgement until you have many possibilities on the table. Doing this groundwork is a vital part of how to create a great product.
Design thinking is a practical tool kit, not a buzzword. After empathising and defining the problem, you move into ideation, prototyping and testing. The process is iterative; you don’t march forward linearly but loop back as you learn. Build small prototypes to try solutions quickly, learn what works and what doesn’t, and adjust. The final step, implementation, reminds us that ideas must be shipped. Without execution, even the best concept is meaningless.
Prototypes range from paper sketches to high‑fidelity mock‑ups. Early, low‑fidelity prototypes are inexpensive and let you try different directions, while high‑fidelity prototypes help you refine interaction details. When you’re ready, build a minimum viable product (MVP) — a version that delivers the core benefit to a small group of users. An MVP isn’t a half‑baked product; it includes only the essentials and leaves out the extras. Define what “viable” means: which assumptions you’re testing and what success looks like. Test it with real users before scaling and iterate based on what you learn.
Turning a concept into a product is where many teams stumble. Start by translating your problem statement and value proposition into user stories and features. Prioritise ruthlessly — focus on features that deliver the core value and leave nice‑to‑have items for later. Work with Engineering to plan delivery schedules and compromise where needed. Also consider technical feasibility and scalability. Over‑engineering early can slow you down, while under‑engineering can cause problems down the road. Choose architectures that allow you to adjust as you learn.
User testing is not optional. Research by Jakob Nielsen shows that testing with five users can uncover about 85% of usability problems. This doesn’t mean you only test once. Run many small tests. Fix issues, iterate and test again. Use a mix of qualitative methods (moderated sessions, diary studies, beta programs) and quantitative methods (A/B tests, usage analytics). Slack’s early team followed this playbook: they invited six to ten companies to use Slack, learned how it behaved at different team sizes and iterated. They only opened up to larger groups once the product was polished. Adopting a similar pattern reduces the risk of widespread problems.
Measure engagement, activation, retention and growth early. Signs of fit include high retention and organic growth. You should see users who would be genuinely upset if your product disappeared and a healthy balance between what it costs to acquire customers and what they are worth over time. Product‑market fit isn’t a switch but a spectrum. Keep measuring as you iterate because markets and expectations change.
A great product still needs a thoughtful launch. Craft messaging that speaks to the problem you solve and why your solution is different. Identify the channels that reach your target audience — product‑led growth, content, partnerships or direct sales. Decide on pricing early; it signals value and informs your positioning. During the build process, continue to watch market conditions and be willing to change features, pricing or target users. When Slack launched, they avoided calling their preview a “beta” and leaned on their networks and press to build trust. The lesson: plan your launch months ahead, use whatever credibility you have and amplify your story through press and social channels.
The work doesn’t end when you ship. Monitor usage, performance and satisfaction. Instrument your product to track time to value and retention, and collect feedback through support tickets, interviews and surveys. At Parallel we run monthly listening sessions with customers to understand evolving needs. Scaling doesn’t mean adding features indiscriminately; it means entering new markets or segments while maintaining quality. Keep testing: small experiments on pricing, onboarding and messaging reveal surprising insights. Stay alert to competitors and technological shifts. New technologies may change user expectations, so be prepared to experiment. This ongoing engagement with users is at the heart of how to create a great product.
Drawing from industry thought leaders and our own experience, here are principles to keep in mind:
Slack’s early story shows that centering on users drives success. The team invited a handful of companies to try Slack, learned how it behaved at different team sizes and iterated quickly. They deliberately avoided the word “beta,” called it a preview and used press and social proof to generate sign‑ups. The takeaway is simple: invite real users early, listen deeply, iterate and plan your launch to build trust.
From our own projects we’ve seen two mistakes repeatedly: long sign‑up flows and ignored pricing. Simplifying onboarding to a few steps helps users start quickly. Testing price points early reveals who values your product and filters out those who won’t pay.
Creating a great product isn’t easy. Here are traps to watch for:
Great products aren’t accidents. They start with understanding users and markets, move through ideation, prototyping, building and testing, and extend into launch and iteration. If you’re asking how to create a great product, start by listening to people and defining the problem. Build a simple version, test it with real users and track metrics that signal fit. Tell a clear story when you launch and stay close to your customers. Keep adjusting based on what you learn.
One proven sequence is: discover and define the problem; conduct market and user research; generate and refine concepts; build a prototype or MVP; develop and test the product; launch; measure and iterate. Following these steps helps you answer how to create a great product by ensuring you validate each stage before moving on.
Start with a clear user need. Research the market and potential users to validate that need. Design and prototype a solution, then put it in front of real users. Iterate based on feedback until the core value is clear. Develop the full product, launch it to your target audience, and continue to gather feedback and data to improve. This cycle captures how to create a great product in practice.
Look for needs that are underserved or unserved. Conduct market and competitive analysis to find gaps. Differentiate through your value proposition, design or experience. Innovation can come from technology, business models or the way you deliver value. Above all, stay close to users; they will tell you where your product shines and where it falls short. That’s the heart of how to create a great product.