1 customisable OKR examples for Data Architecting Team
What are Data Architecting Team OKRs?
The Objective and Key Results (OKR) framework is a simple goal-setting methodology that was introduced at Intel by Andy Grove in the 70s. It became popular after John Doerr introduced it to Google in the 90s, and it's now used by teams of all sizes to set and track ambitious goals at scale.
Formulating strong OKRs can be a complex endeavor, particularly for first-timers. Prioritizing outcomes over projects is crucial when developing your plans.
To aid you in setting your goals, we have compiled a collection of OKR examples customized for Data Architecting Team. Take a look at the templates below for inspiration and guidance.
If you want to learn more about the framework, you can read our OKR guide online.
Building your own Data Architecting Team OKRs with AI
While we have some examples available, it's likely that you'll have specific scenarios that aren't covered here. You can use our free AI generator below or our more complete goal-setting system to generate your own OKRs.
Our customisable Data Architecting Team OKRs examples
You'll find below a list of Objectives and Key Results templates for Data Architecting Team. We also included strategic projects for each template to make it easier to understand the difference between key results and projects.
Hope you'll find this helpful!
1. OKRs to successfully execute Proof of Concept for two chosen data catalog tools
- Successfully execute Proof of Concept for two chosen data catalog tools
- Identify specific testing metrics and scoring rubric to measure tool effectiveness by week 4
- Define necessary testing metrics for tool effectiveness
- Implement the metrics and rubric by week 4
- Design scoring rubric for evaluation purposes
- Select two suitable data catalog tools based on functionality, compatibility, and cost by week 3
- Evaluate the compatibility of these tools with our system
- Compare costs of the most suitable tools
- Research various data catalog tools and analyze their functionality
- Provide deliverable reporting on tool performance, comparisons, insights, and recommendations by end of quarter
- Draft recommendations based on insights
- Analyze findings to generate insights
- Compile data on tool performance and comparisons
Data Architecting Team OKR best practices to boost success
Generally speaking, your objectives should be ambitious yet achievable, and your key results should be measurable and time-bound (using the SMART framework can be helpful). It is also recommended to list strategic initiatives under your key results, as it'll help you avoid the common mistake of listing projects in your KRs.
Here are a couple of best practices extracted from our OKR implementation guide 👇
Tip #1: Limit the number of key results
Focus can only be achieve by limiting the number of competing priorities. It is crucial that you take the time to identify where you need to move the needle, and avoid adding business-as-usual activities to your OKRs.
We recommend having 3-4 objectives, and 3-4 key results per objective. A platform like Tability can run audits on your data to help you identify the plans that have too many goals.
Tip #2: Commit to weekly OKR check-ins
Having good goals is only half the effort. You'll get significant more value from your OKRs if you commit to a weekly check-in process.
Being able to see trends for your key results will also keep yourself honest.
Tip #3: No more than 2 yellow statuses in a row
Yes, this is another tip for goal-tracking instead of goal-setting (but you'll get plenty of OKR examples above). But, once you have your goals defined, it will be your ability to keep the right sense of urgency that will make the difference.
As a rule of thumb, it's best to avoid having more than 2 yellow/at risk statuses in a row.
Make a call on the 3rd update. You should be either back on track, or off track. This sounds harsh but it's the best way to signal risks early enough to fix things.
How to turn your Data Architecting Team OKRs in a strategy map
Quarterly OKRs should have weekly updates to get all the benefits from the framework. Reviewing progress periodically has several advantages:
- It brings the goals back to the top of the mind
- It will highlight poorly set OKRs
- It will surface execution risks
- It improves transparency and accountability
Spreadsheets are enough to get started. Then, once you need to scale you can use a proper OKR platform to make things easier.
If you're not yet set on a tool, you can check out the 5 best OKR tracking templates guide to find the best way to monitor progress during the quarter.
More Data Architecting Team OKR templates
We have more templates to help you draft your team goals and OKRs.
OKRs to improve team effectiveness in running operations OKRs to successfully attract and retain 10 net new customers OKRs to improve team productivity and efficiency OKRs to successfully execute SEO projects for improved online visibility OKRs to enhance DevOps efficiency and reduce production time OKRs to boost InMail acceptance rate to 62%
OKRs resources
Here are a list of resources to help you adopt the Objectives and Key Results framework.
- To learn: What is the meaning of OKRs
- Blog posts: ODT Blog
- Success metrics: KPIs examples
What's next? Try Tability's goal-setting AI
You can create an iterate on your OKRs using Tability's unique goal-setting AI.
Watch the demo below, then hop on the platform for a free trial.