How to Build Features Your Customers Really Need

You created a product that your customers find helpful.

You prepared a solid system for collecting customers’ feedback and suggestions.

And suddenly, you realize your database is jammed by hundreds of features requests…

And here comes the question - which one do you choose?

Which feature will skyrocket your business, and which ones will be just a waste of time and money?

The risk is quite high - tons of startups fail because they build features that no one cares about. And it’s getting even more tricky right now when the competition among SaaS companies is like a crazy race between Hamilton and Verstappen. Every decision matters.

Luckily, there are a couple of steps you can follow to increase your chance to build the features your customers not only want but really need.

Start with the team

People are the backbone of every business process, and product management is not an exception. No doubts, behind every successful product, is a great product team. The product team implements product strategy, builds the customer roadmap, defines product features, takes care of customer segments (each team for its own product pillar), and identifies users’ needs. Sounds like a lot of work to do, right? That’s why it’s so essential to make the extra effort and carefully define roles and responsibilities among team members.

A product team should be most of all cross-functional. In other words, it should consist of people with diverse expertise who come together to achieve a common goal. Hence why, a standard, self-efficient product management team that have all essential skills and knowledge to develop the product should include:

Product Manager
Product Designer
UX Researcher
Engineers

Bringing together people with different perspectives and experiences will lead the whole team to make a smarter, more sustainable decision and give you a guarantee you take care of every aspect of product development.

Stick to the vision

You’ve probably heard it a thousand times, and it may sound like a cliche, but vision is the number one priority in the product management process. In fact, vision keeps you on track and helps you make the right decisions.

A product vision is a description of the essence of your product: what are the problems it is solving and for whom. It shows the team a bigger picture of what they are working on and why and, at the same time, determines the way on how you should develop the product in the future.

So, before you start even thinking about the tons of features you need to work on, take a deep breath and answer the most crucial question: Are these requests aligned with the vision of your product?

Without a clear vision (what you want to achieve, how, why, and for who), it’s almost impossible to prioritize features requests and select the most crucial ones.

Rethink and carefully analyze whether the user’s suggestion is aligned with your product's strategy. If the answer is yes - great, go straight to the second step. If not - reject the idea without regret.

Gain in confidence

‍It’s time to make sure you really understand what your customers want and reduce the chances of failure - not to build a feature nobody uses, or worse, nobody needs.

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Wait, but haven’t your users already told you what they wanted?

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Well, sometimes, what customers ask for is not what they actually need. If it sounds too mysterious for you - don’t worry. You don’t have to be a fortune teller with a magic ball to understand your users’ thoughts.

Take advantage of tools and methods that will allow you to deeply research your users' needs and thoughts and get to the root of their problems.

Ok, so let’s assume you’re starting to work on a feature X - as your customers often requested it, and it’s clearly connected with your product vision...

What may the process look like?

User Insights

Digging into User Insights is the easiest way to understand what your customers think about the feature you are planning to work on. You can, for example, take a look at how often your users communicate their need for this feature and carefully read all descriptions and comments they use to report it. After gathering all critical pieces of information, analyze who these customers are: are they heavy users, on the free trial, prospects, or paid ones? Keep in mind that each of these groups has completely different demands and needs its own prioritization.

At Tidio, we collect users' feedback and measure customer satisfaction on a daily basis, which is a huge help for understanding what works and what needs to be improved.

For this purpose, we use Airtable, which allows us to generate views and reports for almost every case. So if we see a feature request that appears often, it is a signal for the product team to take a closer look at it and dive for more numbers.

Product Usage

Product Usage refers to the data about users’ actions while using a product, when and how they use it, and how long they spend using the product. Thanks to Product Usage data, you can compare what users request with how they actually use your product and features.

However, bear in mind that many biases can give you a false picture of the situation. For example, the well-known Availability Bias can push you to start developing a feature only because you heard about it recently and it's still fresh in your memory.

At Tidio, thanks to quantitative data tools like Amplitude and Tableau, we're constantly monitoring how our customers use our product. Based on product usage data, we can predict whether the requested feature can be beneficial for the majority of product users or just for some specific segment.

After collecting data from user insights (what customers say they want) and product usage (how often customers use this particular part of the product and how many potential users we can expect), it's time for UX research.

UX research

The cherry on the top of product management is to talk to the right users.

Your product may have from one to many use cases, so you need to segment your customers and ask the right questions to the right group. Accurate customer segmentation allows UX Researchers to engage with each user in the most effective way and gather all necessary information.

Thanks to extracting quantitative data from user insights and product usage analytics, you know who you should talk to - just jump on a call and try to walk your users' shoes.

However, you can't just chat with customers about ideas you've already had. You also need a space for so-called exploratory research, where you dig a little bit deeper to understand user needs, problems, motivations, and jobs-to-be-done. During this step, many unexpected things can happen - for example, you can discover new product opportunities you completely missed, so keep your ears open.

The following diagram, prepared by Karolina Wójcik, Lead UX Researcher at Tidio, illustrates the User Experience research process with descriptions of particular phases, examples of questions, and roles involved.

Sum it all up - One Pager

Having all the puzzles from the above steps, you are ready to fill out the so-called OnePager. As the name suggests, a one-pager is a one-page document used as a simple form enabling you to present all the information you have gathered in a nutshell.

The one-pager sums up everything you've done so far in one place. So the more solid work you do in the previous steps, the easier preparing a one-pager will be.

Thanks to OnePager, you can present all the most relevant information about a feature in a clear and understandable way for everyone in a Product Management team.

Depending on how much confidence you gained during the research phase, you can use validation techniques to make yourself 100% sure that the feature you are working on is needed. Idea validation is all about doing the final test before you release the feature to the general public.

Some of the most popular ones:

Fake Door - show visitors a feature that does not actually exist and measure users' interest in using it.
Dry Wallet - simulate 'purchase now' experience in the form of a simple pricing page leading to a 'We are not ready yet' page to validate willingness to pay for the feature in the future.
Prototyping + UserTesting - perform user tests with a prototype to provide valuable feedback.

As soon as the development starts, keep monitoring user feedback to learn how the feature performs on a live version to pick up any potential issues.

Start to launch a new feature

Launching a feature doesn't mean switching from a development phase to a selling phase. It's just the beginning of the "real" development — measuring user behavior, drawing conclusions, improving the product, and repeating the flow until getting satisfying results.

At Tidio, we adopted the TARS framework for monitoring feature usage - the system we've learned during the Reforge Program.

TARS is the acronym that stands for:

Target - all active users interested in using the new feature (it can be 80%, 50%, or even 30% of your all active user base)
Adopted - how many users from the target used the feature, measured by Adopted Users / Target Users
Retained - the share of adopted users who are still coming back to the feature in daily, weekly or monthly routing - depending on your product usage frequency.
Satisfied - the share of retained users who are satisfied with the new feature

TARS is a funnel where you can identify some drop-offs at every step of the process and reprise them as long as you reach the level you are satisfied with.

For example, you can check why the users didn't adopt the new feature even though they requested it. Perhaps, they didn't know where to find it or how to start using it? In that case, you can highlight a new feature in the interface and show it as a contextual nudge - the customized navigator that guides your users not to get lost.

Thanks to analyzing all drop-offs, you can see what you need to improve in black and white.

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The key to successful product management is to understand that users are not asking for a new feature just to have one. They are asking because they need to solve a specific pain point. That's why you need to take a step back and look at every users' request from a broader perspective - from your vision alignment through solid data analysis and UX research.