Input metrics vs Output metrics

Output metrics represent outcomes or results and input metrics represent actions. When choosing metrics for your key results, It is important to understand which ones to choose and how they impact your outcomes. There is nothing worse than choosing the wrong metric and spending time optimising it.

What are Output metrics?

Output metrics are the outcomes that you want to ultimately get. These are your North Star metrics. In a business context, they could be things like revenue, the number of paid customers, NPS score, and retention. In sports, they could be the number of goals scored, matches won in a season etc. These metrics usually tell you how your business is doing.

One key characteristic of output metrics is that you cannot directly influence them. Nothing you can do will directly make more money, or score more goals.

What are Input metrics?

In contrast, Input metrics are the actions you control, in hope that they will impact your output metrics. Good input metrics should be used as checkpoints or milestones to make goals actionable. In a business context, input metrics are things like the number of sales meetings conducted in a month, features built that your customers requested, or time to reply to a support query.

As you can see input metrics are the things that you can directly control.

How to choose Input metrics and Output metrics

Finding the right input metric is a matter of experimentation. sometimes they are obvious and sometimes not. Finding the highest impact input metric is key to driving a successful outcome.

Examples of Input metrics vs Output metrics

E-commerce checkout flow

Marketing team

Sales team

Customer support

Manufacturing

Landing a new Job

In summary, as you can see in the above examples, choose an input metric you can control, and make it actionable. choose an output metric based on the results you want to achieve. If you only set an output metric, the team will get demotivated easily and will feel like they are shooting in the dark with no visible impact on the final output metric.

Using Input and Output Metrics in your OKRs

A combination of both input and output metrics can be used in good OKRs. Finding good quality input metrics takes time, it is an iterative process. Teams can use correlation analysis to learn about what successful customers are doing in order to achieve the desired outcome and then convert these signals into input metrics.

✨ Goal.new ✨
Try North’s AI-Powered OKR Suggestion tool

Elements of a well-written OKR

A good OKR consists of both an input metric, output metric and initiative/project:

Input key result:
Input metrics are the things that you can control. these are the metrics when moved, will move the output metrics.
e.g. % users that sent at least 1 invite in week 1

Initiative / Project-based key result:
When a project needs to be completed to achieve the KR and the project will take a significant amount of time and is a prerequisite to the KR. Tracking as a project key result could give the teams good visibility.

Output key result:
Output metrics are the things that you cannot control. these are the metrics you want to ultimately achieve but are not directly in your hand.
e.g. User retention, stock market price, annual recurring revenue (ARR)

Next:
– Grasp the OKR Meaning
– Learn more about OKR vs KPI
–

---

---

---

✨ Goal.new ✨
Try North’s AI-Powered OKR Suggestion tool

🏔