Without a good system, you could end up building something that won\u2019t really help your business.<\/p>\n\n\n\n \u201cBad prioritization is an excellent way to kill your startup.\u201d<\/em><\/p> Lenny Rachitsky<\/a>, Product Lead at Airbnb<\/a><\/cite><\/blockquote><\/figure>\n\n\n\n You could base the decision about what to build next based on many things:<\/p>\n\n\n\n But what\u2019s actually \u201cgood prioritization\u201d? Here are a few prioritization factors we recommend:<\/p>\n\n\n\n You need to consider all of these factors and decide how much each of them matters to your business.<\/p>\n\n\n\n There are also prioritization frameworks, models, and formulas.<\/p>\n\n\n\n You can select a different method for each team or project. We\u2019ll introduce some of them later in the article, so keep reading!<\/p>\n\n\n\n Product prioritization is easier said than done. It’s often a balancing act between taking risks and playing it safe. You may want to create something bold and out of the box. But you need to also consider what your users are actually asking for. And there are necessary improvements (like security and compliance projects).<\/p>\n\n\n\n There are other roadblocks to product prioritization.<\/p>\n\n\n\n Let\u2019s be honest: everyone has limited resources. So it\u2019s all about optimizing them.<\/p>\n\n\n\n Hiring more people, taking on more projects or buying more tools isn\u2019t always the answer. Sometimes, less is more. So you need to figure out how to do more with what you have.<\/p>\n\n\n\n Engineers\u2019 time is pretty expensive. It also adds up fast. So you need to use that particular resource carefully.<\/p>\n\n\n\n \u201cStartups should focus on the \u201cpain-killer\u201d features which will bring the \u201cAHA moment\u201d closer and increase usage metrics.\u201d<\/em><\/p>Lisa Dziuba<\/a><\/em>, Head of Product Marketing at LottieFiles<\/a><\/cite><\/blockquote><\/figure>\n\n\n\n It\u2019s very important to gather enough data to make an informed decision. Data can come in many forms: user feedback, industry trends, product usage data, and more. So make sure that you\u2019re consistently researching and collecting feedback<\/u><\/a> from your users and even prospects.<\/p>\n\n\n\n Too much data can also become overwhelming. This is where idea management<\/a> comes into play. In basic terms, idea management is a way to organize and make sense of all the ideas from all sources, including feedback<\/a>.<\/p>\n\n\n\n A tool like Canny makes it easy: you can invite users to add ideas, vote on existing feedback, and have a conversation with them. You can also add tags and categories to sort the feedback even better.<\/p>\n\n\n\n <\/p>\n\n\n\n\n
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Roadblocks<\/h2>\n\n\n\n
Limited resources<\/h3>\n\n\n\n
Too little or too much data<\/h3>\n\n\n\n
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