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10 OKR examples for User Feedback

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What are User Feedback 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 User Feedback 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 User Feedback 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.

User Feedback OKRs examples

We've added many examples of User Feedback 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 enhance authenticity of our AI product

  • ObjectiveEnhance authenticity of our AI product
  • KRIncrease AI response variation by 25% to simulate human conversation
  • TaskIdentify patterns and redundancy in current AI responses
  • TaskDevelop new conversational algorithms and responses
  • TaskImplement and test changes within the AI system
  • KRImplement regular user feedback loops to measure and improve authenticity by 20%
  • TaskAnalyze feedback and implement authenticity improvements
  • TaskDeploy regular user feedback surveys
  • TaskDevelop a consistent survey focused on authenticity measurement
  • KRReduce AI response time by 15% to achieve realistic interaction
  • TaskImplement system checks and balances to reduce lag time
  • TaskOptimize AI algorithms to increase efficiency
  • TaskUpgrade hardware to improve processing speed of the AI

OKRs to enhance product functionality by adding three new features based on user feedback

  • ObjectiveImprove product functionality through user feedback
  • KRAchieve a 90% satisfaction rate in user testing for new features
  • KRReduce customer support interactions related to functionality by 25%
  • KRImplement three new features based on user feedback
  • KRIncrease daily active user rate by 15% after feature implementation

OKRs to enhance product-market fit by conducting customer research and implementing user feedback

  • ObjectiveImprove product-market fit by leveraging customer research and user feedback
  • KRMeasure the impact of the improvements on product-market fit by tracking user metrics
  • KRConduct in-depth interviews with 50 potential and existing customers
  • KRImplement the top 3 product improvements within 3 weeks
  • KRAnalyze user feedback and identify the top 3 product improvements

OKRs to develop a comprehensive monolingual dictionary

  • ObjectiveDevelop a comprehensive monolingual dictionary
  • KRImplement and test a user-friendly search and organization system
  • TaskDevelop a prototype of the search and organization system
  • TaskRun usability tests with a sample of users
  • TaskRevise system based on user feedback
  • KRGet a 90% positive feedback score from 100 beta users for the dictionary usability
  • TaskImplement real-time customer support to resolve user issues swiftly
  • TaskConduct surveys to gain precise user feedback on dictionary usability
  • TaskImprove dictionary interface based on previous user testing feedback
  • KRList out 10,000 words with detailed definitions and usage by end of the quarter
  • TaskWrite detailed definitions and usage for each word
  • TaskResearch and collect 10,000 words from reliable resources
  • TaskProofread, edit, and finalise the word list

OKRs to establish our simple AI startup using open-source tools

  • ObjectiveEstablish our simple AI startup using open-source tools
  • KRDevelop a basic AI model using chosen open-source tool by end of week 8
  • TaskDevelop and test a basic AI model using the selected tool
  • TaskStart learning and mastering the selected tool
  • TaskChoose a suitable open-source tool for AI model development
  • KRAcquire first 10 users to test our AI model and gather feedback by week 12
  • TaskReach out and onboard first 10 users for testing
  • TaskSet up a feedback collection system
  • TaskIdentify target audience for AI model testing
  • KRIdentify and assess 5 suitable open-source tools for AI development by week 4

OKRs to develop AI chat GPT for convention

  • ObjectiveDevelop AI chat GPT for convention
  • KRImplement GPT into chat platform for real-time interactions during convention
  • TaskTest and troubleshoot for user experience improvement
  • TaskResearch suitable GPT models for the chat platform
  • TaskIntegrate chosen GPT model into the chat system
  • KRTrain GPT model with relevant data from previous conversations
  • TaskInitiate the GPT model training process
  • TaskGather and organize previous conversational data
  • TaskPreprocess data for GPT model training
  • KRAnalyze user feedback to improve AI chat GPT performance
  • TaskImplement changes to enhance chatbot responses based on feedback analysis
  • TaskReview collected user feedback on AI chat GPT performance
  • TaskIdentify common issues and potential improvement areas

OKRs to amplify the voice of our current customer base

  • ObjectiveAmplify the voice of our current customer base
  • KRImprove response rate on customer satisfaction reviews by 20%
  • TaskIntroduce incentives for completed customer satisfaction reviews
  • TaskOptimize review request timing for increased engagement
  • TaskSend reminders for pending review completion
  • KREngage 25% more customers in user experience surveys
  • TaskBoost survey advertisement across all media platforms
  • TaskDevelop a compelling invitation for participation in surveys
  • TaskOffer incentives or rewards for survey participation
  • KRIncrease customer feedback submission by 30%
  • TaskImplement a user-friendly feedback form on our website
  • TaskOffer incentives for customers who provide feedback
  • TaskRegularly promote the importance of customer feedback

OKRs to validate problem and product hypotheses for MVP

  • ObjectiveValidate problem and product hypotheses for MVP
  • KRGet 60% positive response on problem-solution fit from industry experts
  • TaskImplement changes based on feedback for improved response
  • TaskIdentify and reach out to relevant industry experts for feedback
  • TaskDevelop a clear, concise presentation of the problem-solution fit
  • KRConduct a beta test with 25 users and achieve 75% satisfaction rate
  • TaskOrganize detailed feedback collection from users
  • TaskImplement improvements based on feedback for satisfaction
  • TaskSelect 25 users for the beta test
  • KRInterview 50 potential customers to understand their main pain points
  • TaskIdentify and contact 50 potential customers
  • TaskConduct and record customer interviews
  • TaskCreate a standard questionnaire for customer pain points

OKRs to to design a comprehensive feedback form for production team reviews

  • ObjectiveTo design a comprehensive feedback form for production team reviews
  • KRDraft, prototype and test feedback form usability with 20 employees by week 4
  • TaskDevelop prototype of the feedback form
  • TaskCreate draft for feedback form
  • TaskTest form usability with 20 employees
  • KRDefine essential criteria for form by involving relevant stakeholders within 2 weeks
  • TaskConsolidate and finalize essential criteria list
  • TaskIdentify all relevant stakeholders
  • TaskSchedule meetings to discuss form criteria
  • KRAchieve a 90% satisfaction rate from initial users about form effectiveness and clarity
  • TaskMake necessary adjustments based on feedback
  • TaskRegularly collect and analyze user feedback
  • TaskDevelop a clear, user-friendly layout for the form

OKRs to establish a comprehensive knowledge base for the organization's systems and projects

  • ObjectiveEstablish a comprehensive knowledge base for the organization's systems and projects
  • KRDocument 100% of our existing systems in the knowledge base by end of next quarter
  • TaskReview and upload all documentation
  • TaskAssign team members to document each system
  • TaskIdentify all existing systems requiring documentation
  • KRAchieve 90% of user satisfaction rate through regular knowledge base utilization survey
  • TaskImplement feedback to improve user satisfaction rate
  • TaskDistribute the survey to all active users regularly
  • TaskCreate a user-friendly knowledge base utilization survey
  • KRUpdate our project knowledge base weekly with 95% accuracy
  • TaskAccurately document the developments into the knowledge base
  • TaskCross-check the inputted information for 95% accuracy
  • TaskReview project updates thoroughly each week

User Feedback 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

The rules of OKRs are simple. Quarterly OKRs should be tracked weekly, and yearly OKRs should be tracked monthly. 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 User Feedback OKR templates

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

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