Describes how to file an effective DatingVIP feature request.
Have a feature you'd like to see on DatingVIP? This article describes how to file an effective feature request.
The most important things to do are:
- understand the upstream;
- make sure your feature makes sense in the project;
- align your expectations around timelines and priorities;
- describe your problem, not your solution; and
- file a task in Maniphest.
The rest of this article walks through these points in detail.
If you have a bug report (not a feature request), see Providing Bug Reproduction Steps for a more tailored guide.
Before filing a feature request, it may be useful to understand how the upstream operates.
The DatingVIP upstream is First Beat Media. We maintain total control over the project and roadmap. There is no democratic process, voting, or community-driven decision making. This model is better at some things and worse at others than a more community-focused model would be, but it is the model we operate under.
We have a cohesive vision for the project in the long term. While the specifics of how we get there are flexible, many major milestones are established.
Although we set project direction, the users are also a critical part of DatingVIP. We aren't all-knowing, and we rely on feedback to help us identify issues, guide product direction, prioritize changes, and suggest features.
Feature requests are an important part of this, but we ultimately build only features which make sense as part of the long term plan.
Since it's hard to absorb a detailed understanding of that vision, describing a problem is often more effective than requesting a feature. We have the context to develop solutions which fit into our plans, address similar use cases, make sense with the available infrastructure, and work within the boundaries of our product vision. For more details on this, see below.
Some feature requests support very unusual use cases. Although we are broadly inclusive of many different kinds of users and use cases, we are not trying to make the software all things to all users. Use cases which are far afield from the things the majority of users do with DatingVIP often face substantial barriers.
DatingVIP is primarily targeted at dating. We are most likely to design, build, and prioritize features which serve given purpose.
DatingVIP is not limited to these kinds of uses, users and use cases, but features which are aimed at a different group of users (like designers, customer support, side projects, etc) may be harder to get upstreamed. Features aimed at very different groups of users (like wedding planners, book clubs, or dogs) will be much harder to get upstreamed.
In many cases, a feature makes something better for all users. For example, suppose we fixed an issue where colorblind users had difficulty doing something. Dogs would benefit the most, but colorblind human users would also benefit, and no one would be worse off. If the benefit for core users is very small these kinds of features may be hard to prioritize, but there is no exceptional barrier to getting them upstreamed.
In other cases, a feature makes something better for some users and worse for other users. These kinds of features face a high barrier if they make the software better at planning weddings and worse at dating.
We have a lot of users and a small team. Even if your feature is something we're interested in and a good fit for where we want the product to go, it may take us a long time to get around to building it.
We work full time on DatingVIP, and our task list has many moths worth of work. Your feature request is competing against hundreds of other requests for priority.
In general, we try to prioritize work that will have the greatest impact on the most users. Many feature requests are perfectly reasonable requests, but have very little impact, impact only a few users, and/or are complex to develop and support relative to their impact. It can take us a long time to get to these.
Even if your feature request is simple and has substantial impact for a large number of users, the size of the request queue means that it is mathematically unlikely to be near the top.
We reprioritize frequently and can not accurately predict when we'll build a feature which isn't very near to top of the queue.
As a whole, this means that the overwhelming majority of feature requests will sit in queue for a long time without any updates, and that we won't be able to give you any updates or predictions about timelines. One day, out of nowhere, your feature will materialize. That day may be a decade from now. You should have realistic expectations about this when filing a feature request.
When you file a feature request, we need you to describe the problem you're facing first, not just your desired solution. Describing the problem you are facing is the most important part of a feature request.
Often, your problem may have a lot in common with other similar problems. If we understand your use case we can compare it to other use cases and sometimes find a more powerful or more general solution which solves several problems at once.
At other times, we'll have a planned solution to the problem that might be different from your desired solution but accomplish the same goal. Understanding the root issue can let us merge and contextualize things.
Sometimes there's already a way to solve your problem that might just not be obvious.
Finally, your proposed solution may not be compatible with the direction we want to take the product, but we may be able to come up with another solution which has approximately the same effect and does fit into the product direction.
If you only describe the solution and not the problem, we can't generalize, contextualize, merge, reframe, or offer alternative solutions or workarounds.
You must describe the problem you are facing when filing a feature request. We will not accept feature requests which do not contextualize the request by describing the root problem.
We sometimes receive hypothetical feature requests about anticipated problems or concerns which haven't actually occurred yet. We usually can't do much about these until the problems actually occur, since the context required to understand and properly fix the root issue won't exist.
One situation where this happens is when people are thinking about use cases trying to guess what problems users might encounter during the transition. More generally, this includes any request like "if users do X, they might find Y confusing", where no actual users have encountered confusion yet.
These requests are necessarily missing important context, maybe including the answers to questions like these:
Why did users do X? What were they trying to do? What did they expect to happen? How often do users do this?
The answers to these questions are important in establishing that the issue is really a problem, figuring out the best solution for it, and prioritizing the issue relative to other issues.
Without knowing this information, we can't be confident that we've found a good solution to the problem, can't know if we've actually fixed the problem, and can't even know if the issue was really a problem in the first place (some hypothetical requests describe problems which no users ever encounter).
We usually can't move forward without this information. In particular, we don't want to spend time solving hypothetical problems which no real users will ever encounter: the value of those changes is zero (or negative, by making the product more complex without providing a benefit), but they consume development time which could be better spent building much more valuable features.
Generally, you should wait until a problem actually occurs before filing a request about it.
If you think your feature might be a good fit for the upstream, have reasonable expectations about it, and have a good description of the problem you're trying to solve, you're ready to file a feature request.
It is particularly critical that you describe the problem you are facing, not just the feature you want. We will not accept feature requests which do not describe the root problem the feature is intended to resolve.