Let’s consider two engineering managers, John and Jane. They have the same seniority, they both work on similar projects in similar conditions and their teams are both terribly smart.

John insists on personally reviewing and approving every change, no matter how small. This doesn’t just concern the codebase: if an engineer wants to try a new productivity tool with the team, they have to go through John. If the team wants to move an internal meeting to a time that better suits everyone, she has to go through John. Every little detail is scrutinized and torn apart to make sure John’s team don’t waste their time on “useless” initiatives.

Jane, on the other hand, is more comfortable with experimenting. She doesn’t require the team to ask her approval for everything, but she is there to support them when they want to try something new, and helps them validate initiatives by setting clear goals and metrics that make sense for them. Then, she takes successful experiments and acts as the team’s champion in the larger organization, implementing these initiatives at a higher level.

Which team do you think will be happier, more productive and more innovative — John’s or Jane’s?

## Bottleneck Managers Create Permission-Centric Organizations

John is the typical example of a **Bottleneck Manager**. We all know at least a few Bottleneck Managers: they hoard information and authority and require teammates to go to them for every little thing. Want to try a new tool? Ask your manager. Want to move a meeting? Ask your manager. Want to change the name of a Slack channel? Ask your manager.

Put enough Bottleneck Managers together and you have an alienating workplace where there’s a process for everything and no way to change that process, until one day you realize you’ve just been doing the same thing for the past five years and you’ve become irrelevant two years ago anyway, but no one has told you because they were too busy writing code. You have, to put it briefly, a **Permission-Centric Organization**.

Permission-Centric Organizations are the natural result of one or more of the following factors:

* **Lack of trust**: his goes both ways. Managers may not trust their teams to make sensible decisions, or teams may not trust their managers to make good use of the results of their decision-making. If a teammate wants to try a new technology but knows their manager will scoff at it, they may not even propose it, to avoid the uncomfortable feeling of rejection.

* **Lack of time**: managers want to make sure everyone on their team is using their time in an optimal way. In doing so, they may overly centralize the decision-making process, to the point where the team is not free to do anything but write code. In some companies, managers will allocate all of the engineers’ time to “busywork”, leaving no room for anything else.

* **High cost of error**: if you have a proven process and battle-tested tools in place, it’s scary to try something new. Sure, the new tool/methodology may improve your work by an order of magnitude, but what if it doesn’t work and you end up alienating your stakeholders? The more successful you get, the more this becomes a problem.

* **Lack of competency**: when team members are not competent enough to experiment in a safe, productive way, management may create constraints around experimentation and take the reins of the engineering process. This may also come from the team members themselves: if they are not (or don’t feel like they are) competent enough, they may avoid trying new ideas for fear of making a mistake.

These are all valid problems. If you’re running a successful company, you want to make sure innovators are competent, you want to trust them and you want them to trust you, you want to dedicate time to the things that really matter, and you want to eliminate or minimize any room for mistake.

However, there’s a way to have your cake and eat it too. You can have all of the above, without hindering your team’s ability to come up with new ideas and validate them. The way to do it is to stop being a Bottleneck Manager and start being a **Multiplier Manager**.

## Multiplier Managers Create Feedback-Centric Organizations

Unlike John, Jane is a Multiplier Manager. A Multiplier Manager supports their team, but also allows them to make their own decisions. They’re proactive in identifying opportunities, but let the team capitalize on opportunities in their own way. They create processes and boundaries for safe innovation and encourage the team to pursue their ideas. They are — by far — the best kind of manager you’ll ever work with.

Multiplier Managers are the bread and butter of **Feedback-Centric Organizations**. These are workplaces where you can — and are strongly encouraged to — run an initiative by your manager to get feedback on it, without first having to ask permission. They are workplaces where ideas move freely from one desk to the other, in continuous evolution.

Just like a Bottleneck Manager and a Permission-Centric Organization are identified by a particular set of dysfunctions, Multiplier Managers and Feedback-Centric organizations exhibit and promote most (preferably all) of the following virtuous traits.

### Provide context about the business

Lack of transparency about the business context and business goals of their organization is one of the most common reasons why people don’t feel like they’re empowered to change their surroundings — withholding information may save your team some time, but it also prevents them from providing their perspective and putting their own twist to what you’re doing.

Multiplier Managers make sure to share all relevant information with their team. Not just what they’re doing, but why they’re doing it and whom they’re doing it for; any decisions that are made, and why they’re being made; who’s responsible for what; any processes the team follows and the rationale behind them, and anything else that might be of interest to other people.

Once the amount of information is too much to be pushed to all teammates all the time, they start publishing it instead and give their teammates an easy, clear way to access it, so that they don’t risk wasting the team’s time with anything they don’t find interesting. This may take different forms: a shared Google Doc, an entire shared folder, a company playbook, meeting recordings or a bunch of those — whatever works for the company and how people communicate.

## Define what “good” innovation looks like

This is where bureaucracy and innovation meet: the best approach to innovating is by doing it within clear constraints and with a streamlined process. Constraints give your team members a way to frame their ideas in a way that makes sense for everyone, and process lets them validate and execute their ideas in a controlled way.

Here’s the stuff that Multiplier Managers are concerned with:

* What kind of innovation is good innovation? Is it okay to propose rewriting a perfectly working project in a new, shinier technology? Is it completely forbidden, or should it just be a time-boxed endeavor?

* How do we determine if an idea is successful? Do we need to set clear business metrics in advance, or do we use more qualitative metrics? Does it depend on the context?

* What’s the process for collecting feedback? Even more important, what’s the process for understanding whom to collect feedback from in the first place? What kind of feedback should be asked for at what points during the process?
Your mileage may vary, but the mere act of creating a process will be beneficial to your team and make it known that not only is it okay to experiment, it’s encouraged and codified.

### Use automation to create safeguards

If your organization is run by humans, someone is bound to screw up at some point. While Bottleneck Managers run from mistakes and pretend everything can be perfect all the time, Multiplier Managers embrace chaos and try to minimize the ways in which things could go wrong, the cost of things going wrong, or both.

Multiplier Managers use automation to their advantage: they know that systems are dumb and infallible while people are smart and fallible. This leads them to give their team ample freedom to innovate and move quickly *without* having to ask permission. At the same time, they create automated safeguards around the critical aspects of the company’s infrastructure to protect them from human error.

The most obvious example of this is creating a CI pipeline and setting up the proper telemetry to ensure developers can iterate on the codebase as quickly as they can think, *without* running the risk of breaking the app with a bad deployment. Removing the human element from the approval process is key to boosting speed and creativity in the organization.

### Promote technical excellence and innovation

As you create more room for experimenting and taking ownership, you should also make sure you’re promoting technical excellence at all levels of the organization. Having the right skillset empowers individual contributors to spot and seize opportunities for improvement, and it empowers managers to recognize and support innovators.

Before you start firing people, though, make sure those “code monkeys” on your team are not monsters of your creation. Even the most proactive engineer in the world will stop coming up with new ideas when there’s no room for execution. Consider each team member’s history and their aspirations and, most importantly, *talk* to them about the kind of change you want to create to see how they react: are they excited, worried or indifferent?

If you’re trying to revive a stagnating team, a useful icebreaker may be to allocate time for intentional brainstorming and innovation. Try to put aside 20% or 10% of each iteration for the team to try their craziest ideas, and see how that pans out. This will give you time to get aligned on what innovation means to you, and how you want to go about it.

However, remember that this is still not ideal: “thinking time” is still you giving your team permission. Instead, you want to get to a point where they come to you spontaneously with their ideas, without waiting for you to tell them it’s okay to think. If you can get there and maintain that momentum, you’ll have a real Feedback-Centric Organization.

The Feedback-Centric Organization

Everyone keeps telling us to be gentle when reviewing Pull Requests, and that’s the right thing to do, but are we nice with who reviews ours?

A Pull Request is a way to communicate with other individuals who are responsible for the project’s maintenance, so we should do a good job improving our Pull Requests code and documentation to make their work straightforward. It’s also in our best interest to do that since the easier the review is the faster we’ll get our code merged.

## Who reads our Pull Requests?

Creating a reasonable Pull Request is a matter of walking in the shoes of people that will open it later, who fall into the following categories:

* **Code Owners**: who are in charge of reviewing and merging the code.

* **Developers implementing new features**: who are changing previously merged code and need to understand why that code is there.

* **Developers fixing bugs**: who encounter a bug and need to go deep in the git history to understand where the regression has been introduced and why.

We should be respectful of each of them while creating a Pull Request since facilitating their work both in the present and in the future is what makes software development honest and practical. “Time is running out” kind of excuses here are not valid, every moment that we don’t spend improving Pull Requests that we leave in our project is a lot of time wasted for who will interact with them later.

> A Pull Request is created one time but evaluated multiple times.

Do the math!

![](https://cdn.sanity.io/images/kqgmf0g2/production/61e451b8aa097487f4e8e20ab17f3ac713117f8c-560x240.gif?fit=clip)

## What reviewers dream to see

Let’s take a look together at what makes a Pull Request easy to review.

### Well organized code

Code is the soul of the Pull Request, but it won’t be my focus here. You can find a lot of resources about this on the Internet. I’ll only mention some general rules to apply code side:

* Make it small, try to break it into multiple Pull Requests.

* Write well-separated and well-documented commits, the why is the most important thing.

* Add tests, they’ll help reviewers understanding the context of the Pull Request.

* Take a look at the contribution guidelines usually at CONTRIBUTING.md; it may have important information.

### Meaningful title

It needs to clearly and exactly describe what has changed. For example:

![The preview of a wrong-formatter Pull-request title](https://cdn.sanity.io/images/kqgmf0g2/production/2c23d7ca307eba19629a23417b8c92525c59f42f-1340x200.png?fit=clip)
🔴 Bad: This one is too generic and doesn’t provide any value.

![The preview of a well-formatter Pull-request title](https://cdn.sanity.io/images/kqgmf0g2/production/e51f25dbd3166b9566efd0606c4f264866d63a64-1340x200.png?fit=clip)
✅ Good: This one is specific and explain what changed.

If you can only come up with a generic title, that’s probably a first signal that we could split the Pull Request into multiple ones.

A rule that I apply to determine if a title is good is to ask myself this:

> Could this title fit a CHANGELOG entry?

This soft-rule comes from my experience maintaining [Solidus](https://solidus.io/), the open-source project I mostly work on. On Solidus, before each release, we run a script that auto-generates entries for the CHANGELOG.md file using Pull Request’s titles. When they are self-explanatory, there’s much less manual work to do for maintainers.

### A description that really helps

Here’s the core of the Pull Request documentation. It’s quite common to assume that the Pull Request title and commits are enough for people to understand the context, but that’s not always true. For example, let’s consider this Pull Request title:

![](https://cdn.sanity.io/images/kqgmf0g2/production/2a55753537b7c1d02daf6a0746efd6d2e744bd47-1340x200.png?fit=clip)

I’m sure that when reading the Pull Request title today, with all the team focused on this specific change, everyone will immediately get what’s going on and **it could be tempting to leave the Pull Request’s description empty**. But what happens if you have to come back to this Pull Request in 1 year? Will you immediately remember how this switch has been done, and why?

Luckily, the “how” could still be read by commits description, even if it would be more time and energy-consuming to scan all the commits to get the sense of what’s happening. The real problem is that it’s tough to see the “why” of the change.

Let’s see what makes a good Pull Request description:

* It contains a **quick recap of the changes introduced**. It doesn’t have to be a lot of text, just something to quickly understand what changed without opening every single associated commit.

* It describes **why things changed**, try not to take for granted that the reader has a clear picture of the state of the system when the change happened. If the Pull Request comes from a change request done via an issues tracker, it could be handy to link that issue here.

* It describes the **steps to reproduce the changes introduced** with the Pull Request. It could be calling a method from a console, or make some interactions in a UI. It will drastically help reviewers to touch with hands the code they are seeing. It allows them to figure out any doubts that could arise in autonomy, without the need to ask for clarification and extra back and forth with the author.

* It includes **screenshots**: if the change has an impact on how the website looks or on any other visual part of the system, it’s a good idea to attach some screenshots. It will be super easy for those who look at the Pull Request to identify what changed and how.

With GitHub, you can guide the Pull Request author into providing all these things by using **Pull Request templates**. It’s a feature that allows to specify a template that will populate the Pull Request description for any new Pull Request. It’s just a matter of adding a markdown file into `.github/PULL_REQUEST_TEMPLATE.md`. Here’s a collection of [ready-to-grab Pull Request templates](https://github.com/stevemao/github-issue-templates) and the [GitHub documentation page for Pull Request Templates](https://help.github.com/en/github/building-a-strong-community/creating-a-pull-request-template-for-your-repository).

There’s also another hidden, not well-documented GitHub feature, that allows having multiple templates for Pull Requests. You can get them by just reflecting this filesystem structure:

```
.github/
  - PULL_REQUEST_TEMPLATE.md .       # The Default Template
  - PULL_REQUEST_TEMPLATE/extra.md   # Additional templates
```

When you create the Pull Request, you can use the infrastructure template by adding the `&template=extra.md` in the URL’s query params.

### The right reviewers

The policy about asking specific persons to review our code could change depending on the project. For this reason, GitHub offers a [Code Owners](https://help.github.com/en/github/creating-cloning-and-archiving-repositories/about-code-owners) functionality that allows us to specify rules that automatically trigger review-requests from the right people. Here’s an example of a CODEOWNERS file:

```
*                   @project/backend-team
/app/javascript/    @project/frontend-team
/docs/              @project/documentation-team
```

This will ask for a review to the `project/backend-team` for all changes in the project excluding those that are located in `app/javascript` and docs, which will ask for a review to their respective teams.

I suggest integrating the usage of this feature with a clear team policy on how much time and how often developers are expected to review others’ code.

## Preview App linked to each Pull Request

Reviewers’ work is way smoother when they can test what a Pull Request changes before merging, and it’s a good practice to have a preview environment, very similar to staging, generated for each Pull Request open.

If you are deploying on Heroku, you can just use their [Review Apps](https://devcenter.heroku.com/articles/github-integration-review-apps), whose setup is quite simple. It’s also possible to build something very similar by yourself: GitHub offers a Deployments API to create a Deployment section in the Pull Request page. By calling something like:

```
curl -X POST -H "Content-Type: application/json" \
-H "Accept: application/vnd.github.ant-man-preview+json" \
"https://api.github.com/repos/nebulab/project/deployments/42/statuses?access_token=XXX" \
-d '{ "state": "success", "environment_url": "https://your-custom-url/", "environment": "preview"'
```

You’ll see the deployment link in your Pull Request.

![The deployment button in GitHub](https://cdn.sanity.io/images/kqgmf0g2/production/bfe079861626b276e4e2cf4a47eb55f201bf93e7-1564x784.png?fit=clip)

At Nebulab, we use CircleCI and we’ve created a [CircleCI Orb](https://github.com/nebulab/circleci-orbs-feature-branch-preview) that allows us to have this functionality ready in minutes in all our projects by adding the following lines to the `.circleci/config.yml`:

```
version: 2.1

orbs:
  feature-branch: nebulab/feature-branch-preview

workflows:
  cool-workflow:
    jobs:
    - do-cool-things
    - run-specs
    - feature-branch/preview:
        domain: <domain-for-preview-apps>
        github_repo: <your-github-repository>
        github_token: <your-gh-auth-token>
        letsencrypt_email: <email-for-ssl-cert>
        server: <docker-server-to-run-containers>
        user: <docker-server-user>
```

### I bet you now want to be nice too!

After reading this post, you should! Being nice with reviewers gives you better and contextualized quality checks for your code, which should help you **grow as a developer**. It decreases **time-to-merge** for your code and will increases the **velocity to implement new features** that depend on existing ones. **Debugging is also faster** since you don’t have to read all the code to understand how and why a specific thing has been done. Helping reviewers means helping your team and your future self!

What every reviewer would like to see in your next Pull Request

These days code is a collaborative matter. Good developers are expected
to both write great code and help others write code. Code reviews play a crucial part in this: they're the main tool a team has to ship great code and have fun while doing so.

## 😤 Reviews are hard

First of all, let me say it loud and clear: doing code reviews is **damn hard**.
If somebody says giving a pull request review is easy it's probably because they never actually went over a pull request. Pull request reviews are hard because:

* you need to be polite and forgiving;
* it happens remotely 99% of the times;
* you need to think like someone else;
* everyone has their own coding style and it should be respected;
* code written in 10 hours is often reviewed in under 10 minutes;
* praise and criticism happens publicly;
* you are going to write stupid things and completely fail;
* ...

It also depends on the PR of course: certain PRs are pretty straightforward.
You can relax with simple PRs, just approve them and merge them ASAP, your
code deserves it.

I think you get the picture: pull request reviews are more about people and less
about code and computers. In a productive development team reviews should happen
often and be stress-free; they should help the team improve over time, spread
knowledge and increase overall badassery.

## 📕 My Checklist

When I need to go over a pull request I do it several times and use each time a
different point of view. I do this because checking everything at once is simply
unbearable... I lose track of what I'm looking for and I need to start all over
again. So each time I need to look at a PR I look for:

1. syntactic correctness
2. feature completeness
3. meaningful use of git

### ✅ Syntactic Correctness

This is the first check: it's easy and fast (depending on the amount of code)
and doesn't require a fresh brain and, usually, can even happen late during the
day because it's just a matter of checking:

- do tests pass? Is the build green?
- does static code analysis report problems (i.e. [RuboCop][rubocop] and
friends)?
- overall look of the code, are there any code smells?
- are the description and the commit messages written in proper English?
- does the PR respect all of the project conventions (i.e. branch naming,
labels, ...)?

Generally, if something is clearly wrong I either assume the PR is not ready to
be reviewed or straight away ask for a fix on those simple things before digging
into the PR.

The key take-away here is **automation**: you'll save a ton of time by using
tools like [overcommit][overcommit] or [Hound][hound], take the time to
configure them properly so they can do the work you would do manually.

Another thing I do regularly is using [pull request templates][pr-templates] to
add a checklist of what a project needs. Depending on the project and team, stating
clearly the review process within the PR itself can be a huge time-saver,
especially for simple requirements. There are a [ton of examples][pr-template-examples]
you can choose from.

![](https://cdn.sanity.io/images/kqgmf0g2/production/a30b68397c4da12a3e1274e08ff86159eff9e1fa-200x144.webp?fit=clip)

### ✅ Feature Completeness

This step is the hardest. First of all, I read once or twice the issue the PR is
trying to solve (it should be linked in the PR description), then I go over the
code changes, class by class, file by file and dig down the code as in depth as
I can.

The idea here is to try to understand if the person that wrote the code:

- had a good understanding of the issue (asked the right questions, had the
required skills, ...)
- wrote code that actually solved the issue
- didn't miss any edge-cases
- used the right design patterns (and didn't over-engineer the code)

All of the above can be *extremely hard* because you're generally looking at
the result of several hours of work in a short amount of time (sometimes you even
need that code in production and it won't help).

The key takeaway here is **open-mindedness**: never assume anything. Always be
neutral when reviewing code, you should look at code as something that can
advance a project, not like a form of art.

If you've been asked for a review there's a good chance you're the more senior
developer (at least in that competence area). It can be tempting to request
changes just because the code "looks ugly" or maybe because that doesn't look
like something you would write... That's not the way you should do it: look for
real problems, effective solutions and give developers the freedom to write the
code in their style within the project guidelines.

![](https://cdn.sanity.io/images/kqgmf0g2/production/eacaebf6b0ca46c088f79d4baeef17bc69419e5a-499x341.gif?fit=clip)

### ✅ Meaningful Use of Git

So, the code looks solid, now onto the commits. Why are commits so important?
I think of the git history as a ball of yarn that needs to be untangled: would you
prefer the thread to be neatly rolled around... or would you prefer it to be randomly
put together just for the sake of building a ball form?

This makes sense to me because we've always used [Trunk Based Development][trunk] so
our projects' `master` history is a single line of commits with each commit connecting
(hopefully) to the following one, in a single stream of changes. As the features grow and
evolve, the git history linearly represents what happened and why.

With commits following one another it's helpful to try to tell a story with [good git
messages][git-messages] and overall common sense. I ask for changes on a PR when:

- meaningless history added (code is added and removed within the same PR)
- lots of changes and few commits (history is not explained properly)
- lots of commits and few changes (meaningless history probably added)
- commits explaining what the code does instead of saying why it does it
- merge commits (rebasing is a tidier way of making changes on PRs)
- commits not explaining what's happening (the infamous "fix the fix")

A lot of my time goes into reviewing git messages and it can sometimes feel like a
chore (in particular for smaller projects) nonetheless understanding clearly
what and why a particular piece of code is there is crucial for long term success
of a team of developers. On long term projects developers often forget what happened
a year ago, not to speak of new developers picking up the project later down the road.

![](https://cdn.sanity.io/images/kqgmf0g2/production/528c59f74aa0bd3b3a7ab8c1f93c258813f22db0-392x208.gif?fit=clip)

##  💅 Tips and Tricks

And that's pretty much it! I'll end this post with a final list of random things
that I find helpful:

* automate everything that can be automated
* giving reviews will help you write reviewer-friendly code, encourage everyone to review code
* speak to your team so that they know you don't hate them
* practice [Radical Candor][radical-candor]
* add gifs and funny pictures once in while to a review, a good laugh will set the right mood
* you're not on Twitter, don't troll around
* always explain why, never say "change this" without actually providing some examples
* if everything else fails, schedule a pairing session
* schedule your "review time" (I generally do 80% code/20% reviews)

A Guide to Effective Pull Request Reviews

Once the number of decision-makers in a company increases, it becomes increasingly more difficult to
gather feedback and get stakeholder buy-in on organization-wide changes and policies.

Conference calls and instant messaging, the two communication mediums of choice at most modern
companies, are not the right tool for the job: their fast-paced nature and volatility makes it
difficult for people to collect and organize their thoughts before sending them out to their
colleagues for evaluation.

## Feedback takes time

For most of us, it takes hours or even days to analyze a new idea from all possible angles and
structure it properly, but in a chat or a call, you only have minutes to do it before losing
people’s attention. This makes these tools the perfect place for quick back and forth, but not a
good choice for decisions or projects with a wider scope.

The same goes for feedback: **if you really want someone's opinion on your plan, you need to give
them time to think it through.** You are not going to have someone’s full attention by Slack-ing
them in the middle of the morning - the best you can hope for is a thumbs-up. It gets even worse
when people are sick or on vacation: in this case, you risk completely missing out on their feedback
because they were simply not in the right place at the right time.

At Nebulab, we started experiencing a few of these problems and then some more. With four directors
handling all aspects of the company’s operations and a marketing and design department to coordinate
with, we started experiencing a lot of frustration when trying to propose new initiatives that
affected the entire company.

Furthermore, people would be too busy to leave their feedback on new ideas or simply miss them in
the daily sea of Slack messages. When left, feedback would then sometimes be misplaced and/or
forgotten, which caused a lot of friction and slowed down the implementation of new initiatives.

We knew there _had_ to be a better way to discuss ideas and make decisions. We just didn’t expect it
would come all the way from 1969.

## Enter the world of RFCs

The Internet has had a structured format for gathering feedback and describing initiatives for quite
a long time: in 1969, Steve Connor wrote the very first RFC (Request for Comments) at UCLA to
organize the work of the new ARPAnet research program. In fact, RFCs were the first online
publication series.

Over the years, RFCs have been used as a way to gather peer review on new ideas, architectures and
protocols by many official bodies and independent authors all over the world. While some RFCs end up
becoming Internet standards, for the vast majority of them the purpose is to gather initial feedback
on an idea to refine it and make it ready for real-world usage.

We thought RFCs would be the perfect format to propose new ideas and initiatives in Nebulab.

## Our RFC template

We knew we’d need to tweak the format slightly: RFCs used by the IETF tend to be very formal,
because they describe standards that will be potentially adopted by the entire Internet, but in our
case we just wanted to propose changes for our company.

With this goal in mind, we listed a few constraints for our RFCs:

* They had to allow us to **explain an idea in detail** and reply to reasonable objections in
  advance rather than on the spot.
* They had to provide us with a **centralized place to gather peer feedback** and implement it
  before being rolled out.
* They had to provide **a clear framework for experimenting** with new ideas before making them
  official company policies.

We quickly sketched a first draft of our RFC template in Google Docs. We chose Google Docs because
it makes it extremely easy to organize files, share them with the right people and gather and
implement feedback in the form of inline comments.

This is what we came up with:

![](https://cdn.sanity.io/images/kqgmf0g2/production/1c6b4aade8b264af3c9ff37d121b518e9d0de0b3-1278x1526.png?fit=clip)

I’ll skip the header, since it’s quite self-explanatory. Instead, let’s walk through the other
sections one at a time.

## Why, what, how

First of all, we want to explain _why_ we are proposing this change. This really forces us to think
about the problem we’re trying to solve and the outcome we want to achieve. This is probably the
most important part of the entire RFC: **the best-designed initiative in the world won’t do your
company much good if it’s solving the wrong problem**, and putting it in writing helps you ensure
you deeply understand the challenge at hand.

Next, we explain the solution we are proposing to the problem. These are the implementation details,
and we usually go quite in depth here about what we want to do and how we plan to do it. This allows
peers to visualize our solution and provide feedback to propose improvements and better alternatives
to our plan, as well as to find any drawbacks or areas of the company that we forgot to cover.

Finally, we describe the roll-out plan for our initiative. When you start with a brand new policy or
project, it’s not enough to simply dive into the execution. Instead, **you need to create the proper
structure to support your initiative**, communicate it to the relevant team members and ensure
everyone’s on board and clear on how to execute. We quickly realized that this initial phase can
make or break our ideas, so it can’t be left to chance.

The first three sections give you a pretty good overview of the problem we’re solving and how we
want to solve it, but how can we go about validating our solution?

## Define what success looks like

This is where the _Metrics_ section comes in. For each RFC, we do our best to list two or three
metrics that we can use to evaluate the proposal and determine whether it’s working as expected or
not.

This is necessary because it’s very easy for new ideas to start accumulating on people’s plates and
drag on even when it’s clear they aren’t working. No one wants to shoot an idea in the head,
especially when it’s not ours, but **every new policy and every new initiative come with a burden:**
management needs to document it and team members need to understand it and execute on it.

By having clear metrics, we can revisit an RFC and quickly determine if it solved the problem it was
designed for or not.

This is what we use the _Status_ column for: when an RFC is first created, it’s a _Draft_. Then,
once it’s ready to be shared with relevant team members, it becomes a _Proposal_. At this point, any
feedback is integrated and the RFC is finalized and rolled, and it becomes _Experimental_. When we
revisit the RFC and determine whether it’s working or not, it becomes either _Effective_ or
_Abandoned_.

## Plan for the future

You may have noticed the template also has a _Future possibilities_ section. This is because we
encourage people to keep their initial RFC for an initiative as lean as possible, which allows them
to quickly validate ideas before deciding whether to continue with their development or not.

So, for instance, for an RFC that describes a new type of service Nebulab could offer to its
clients, future possibilities may include productizing that service so that we can provide the same
value to clients with a fraction of the work. However, this is definitely not something we want to
do in the initial phase of the implementation, since it would cost us a lot of time before we even
know if the service resonates with our customers.

By planning for future possibilities in advance, you can write down any ideas while they’re still
fresh in your mind without spending the time to implement them.

## Asking for and integrating feedback

As I mentioned, one of the reasons we chose Google Docs is because it makes it extremely easy to
leave inline feedback on a document, and the comments system allows the author of the document to
reply to the feedback, reach a conclusion and incorporate it in the original content (or drop it).

When we’re working on an RFC, we usually ask for **30% feedback, 60% feedback and 90% feedback** so
that we can adjust the document at different stages of its lifecycle. This concept is better
explained in <a href="https://blog.trello.com/avoid-the-seagull-effect-30/60/90-feedback-framework" target="_blank">an
article by Trello</a> which we strongly invite you to read. It can be applied to all kinds of
feedback, not just RFCs, and **it can truly transform how a company thinks about feedback and
collaboration.**

In the case of an RFC, an important aspect to keep in mind is that, because of their experimental
nature, the author(s) have complete freedom on which feedback to accept and which to discard. Your
RFC is your baby and you can decide how you want to raise it - after all, that’s why we have a
structured way to determine success!

## When NOT to use RFCs

I want to end on a note of caution: RFCs can be a great tool for driving change across a company. As
we’ve seen, they give us a structured way to document a transformation, get buy-in from teammates
and evaluate the results. However, they’re not a one-size-fits-all tool, and there are a few
scenarios where I’d advise against using an RFC:

* **When the change is so small it doesn’t warrant a full-blown discussion.** This can be the case
  for instance with small implementation changes for existing initiatives. At the end of the day,
  you set this boundary, but make sure to use your judgment.
* **When the change has limited scope (i.e. it only affects a team of the company).** In this case,
  you’re probably better off discussing the change with the individuals involved directly rather
  than trying to capture all the details in advance.
* **When you don’t actually care about the feedback.** We strongly encourage people to own their
  aspects of the business here at Nebulab and we give them all the freedom they need to do it. If
  you feel very strongly about a choice and you can validate it easily and with little to no
  repercussions, then just go for it.

As always, your mileage may vary, but we’re pretty sure most companies could benefit immensely from
having a more structured approach to organizational change.

## Additional resources

The following articles have been a source of inspiration for our RFC process and we strongly
recommend them:

* [https://philcalcado.com/2018/11/19/a_structured_rfc_process.html] A Structured RFC Process
* [https://blog.trello.com/avoid-the-seagull-effect-30/60/90-feedback-framework] Avoid The Seagull Effect: The 30/60/90 Framework For Feedback

Finally, [https://docs.google.com/document/d/1cSNTB0ECzyiuTMm2Rb8RiGtN_iizzmjWJZiztljTv4w/edit"] (we
have published our RFC template), so that you can easily fork it and use it at your company!

The Nebulab

The Feedback-Centric Organization

What every reviewer would like to see in your next Pull Request

A Guide to Effective Pull Request Reviews

Driving organizational change with RFCs