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2 OKR examples for Ai Technology

Turn your spreadsheets into OKR dashboards with Tability

Tability is a cheatcode for goal-driven teams. Set perfect OKRs with AI, stay focused on the work that matters.

What are Ai Technology 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.

Creating impactful OKRs can be a daunting task, especially for newcomers. Shifting your focus from projects to outcomes is key to successful planning.

We have curated a selection of OKR examples specifically for Ai Technology to assist you. Feel free to explore the templates below for inspiration in setting your own goals.

If you want to learn more about the framework, you can read our OKR guide online.

The best tools for writing perfect Ai Technology OKRs

Here are 2 tools that can help you draft your OKRs in no time.

Tability AI: to generate OKRs based on a prompt

Tability AI allows you to describe your goals in a prompt, and generate a fully editable OKR template in seconds.

Watch the video below to see it in action 👇

Tability Feedback: to improve existing OKRs

You can use Tability's AI feedback to improve your OKRs if you already have existing goals.

AI feedback for OKRs in Tability

Tability will scan your OKRs and offer different suggestions to improve them. This can range from a small rewrite of a statement to make it clearer to a complete rewrite of the entire OKR.

Ai Technology OKRs examples

We've added many examples of Ai Technology Objectives and Key Results, but we did not stop there. Understanding the difference between OKRs and projects is important, so we also added examples of strategic initiatives that relate to the OKRs.

Hope you'll find this helpful!

OKRs to identify and assess AI tools available in the market

  • ObjectiveIdentify and assess AI tools available in the market
  • KREvaluate 10 potential AI tools against predefined criteria by the end of Q2
  • TaskResearch and select 10 AI tools for review
  • TaskAssign scores to each tool based on criteria
  • TaskDefine specific criteria for evaluation
  • KRCompile a detailed report illustrating the pros and cons of each examined tool
  • TaskIdentify and examine each tool's features
  • TaskCompile detailed comparison report
  • TaskAnalyze pros and cons of each tool
  • KRConduct 20 market interviews to determine popular AI tools amongst industry experts
  • TaskDraft comprehensive, insightful interview questions
  • TaskConduct, record and analyze the interviews
  • TaskIdentify and target 20 industry experts in AI

OKRs to ensure adequate development of a proficient Project Executive in AI tech

  • ObjectiveEnsure adequate development of a proficient Project Executive in AI tech
  • KRAchieve a 90% score on project management competency by the newbie
  • TaskStudy essential principles of project management
  • TaskImplement feedback from mentorship sessions
  • TaskComplete practice tests and analyze results
  • KRConduct 3 relevant job-specific training sessions for core AI tech concepts
  • TaskDevelop engaging, informative training sessions
  • TaskIdentify core AI tech concepts necessary for job roles
  • TaskSchedule and execute 3 job-specific AI training sessions
  • KRComplete 2 shadow projects under the supervision of senior executives
  • TaskIdentify 2 senior executives to oversee shadow projects
  • TaskDefine goals and timeline for both projects
  • TaskBegin work on shadow projects under supervision

Ai Technology OKR best practices

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

Having too many OKRs is the #1 mistake that teams make when adopting the framework. The problem with tracking too many competing goals is that it will be hard for your team to know what really matters.

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

Setting good goals can be challenging, but without regular check-ins, your team will struggle to make progress. We recommend that you track your OKRs weekly to get the full benefits from the framework.

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.

Save hours with automated OKR dashboards

AI feedback for OKRs in Tability

Quarterly OKRs should have weekly updates to get all the benefits from the framework. Reviewing progress periodically has several advantages:

Spreadsheets are enough to get started. Then, once you need to scale you can use Tability to save time with automated OKR dashboards, data connectors, and actionable insights.

How to get Tability dashboards:

That's it! Tability will instantly get access to 10+ dashboards to monitor progress, visualise trends, and identify risks early.

More Ai Technology OKR templates

We have more templates to help you draft your team goals and OKRs.

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