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href=\"https://www.snowflake.com/en/analytics/business-intelligence/kpi/\"\u003EKPIs\u003C/a\u003E\u003C/li\u003E\r\n\u003C/ul\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-small"}},":itemsOrder":["text_894059747","text"]},":type":"snowflake-site/components/flexible-column-container","isBlogPage":false,"isActiveTOC":false,"appliedCssClassNames":"snowflake-flexible-column-container-gray-10-bg"},"flexible_column_cont_663228916":{"id":"flexible-column-container-3b4dc57014","propertiesId":"hub-body","type":"2-column-60-40","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"medium","bottomPadding":"medium","spaceBetween":"small","reverseOnMobile":false,"carouselOnMobile":false,"propertiesCSSClasses":"page-section","backgroundImageOption":"none","flexible_column_content_container_1":{"additionalClasses":"longform-content","layout":"SIMPLE","id":"hub-body-content",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"callout__0":{"id":"text-006265a6af","additionalClasses":"callout callout--general","text":"\u003Cp\u003E\u003Cstrong\u003EOKR DEFINED\u003C/strong\u003E\u003C/p\u003E\n\u003Cp\u003EAn objective and key result (OKR) is a management method for communicating a priority as a desired outcome and specifying the quantitative evidence that will be used to evaluate progress within a defined period.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular text-color-text-05"},"text__0":{"id":"text-1531b3be8a","text":"\u003Cp\u003EAn OKR looks simple on paper: choose an objective, define a few measurable key results and review progress throughout the quarter. In practice, the framework asks teams to make several consequential choices — which outcomes deserve priority, what evidence will demonstrate progress, whether a goal is committed or aspirational, and how often to review and score it.\u003C/p\u003E\n\u003Cp\u003EThe measurement of OKRs has become significantly more challenging since the concept emerged in the 1970s. A modern team’s key results might depend on CRM records, business rules maintained by a data team and metrics defined differently across several \u003Ca href=\"https://www.snowflake.com/en/analytics/business-intelligence/\"\u003Ebusiness intelligence\u003C/a\u003E (BI) dashboards. When measurement draws from live, \u003Ca href=\"https://www.snowflake.com/en/data-governance/\"\u003Egoverned data\u003C/a\u003E, teams get fresher numbers based on consistent definitions. Review meetings can spend less time reconciling numbers and more time examining the trajectory of the goal, the factors influencing it and what to do next.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_what-are-okrs":{"id":"title-v2-aafc2050b4","additionalClasses":"anchor-title anchor-title--what-are-okrs","type":"heading2","lines":["What are OKRs?"],":type":"snowflake-site/components/title-v2"},"text_what-are-okrs_0":{"id":"text-f50d6178a0","text":"\u003Cp\u003EObjectives and key results (OKRs) are a goal-setting framework that pairs a qualitative objective with a small set of quantitative key results. The objective states what a team wants to achieve, while the key results specify the measurable outcomes that would demonstrate progress toward the objective.\u003C/p\u003E\n\u003Cp\u003EFor example:\u003C/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EObjective:\u003C/strong\u003E Make onboarding easier for new customers.\u003C/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EKey results:\u003C/strong\u003E\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003EIncrease activation rate from 40% to 55% by the end of Q4.\u003C/li\u003E\n\u003Cli\u003EReduce median time to first value from seven days to three days.\u003C/li\u003E\n\u003Cli\u003EReduce onboarding-related support tickets per new customer by 20%.\u003C/li\u003E\n\u003C/ul\u003E\n\u003Cp\u003EThe OKR framework \u003Ca href=\"https://www.whatmatters.com/articles/the-origin-story\" target=\"_blank\"\u003Egrew out of work\u003C/a\u003E by Intel leader Andy Grove, who developed the management approach that evolved into modern OKRs. John Doerr learned the system at Intel and later introduced it to Google, helping popularize OKRs more broadly through \u003Ca href=\"https://www.goodreads.com/en/book/show/39286958-measure-what-matters\" target=\"_blank\"\u003E\u003Cem\u003EMeasure What Matters\u003C/em\u003E\u003C/a\u003E.\u003C/p\u003E\n\u003Cp\u003EDoerr describes five benefits of effective OKR practice through the acronym F.A.C.T.S.: Focus, Alignment, Commitment, Tracking and Stretching. Focus limits attention to a small number of priorities; alignment connects goals across the organization; commitment establishes shared responsibility; tracking keeps progress visible throughout the cycle; and stretching encourages ambitious targets.\u003C/p\u003E\n\u003Cp\u003EOrganizations typically set OKRs on a recurring cadence, often quarterly, then review and score them throughout or at the end of the cycle. That rhythm separates OKRs from a static task list: the framework provides a continuing reference point for deciding where work is producing the intended outcome and where it’s falling short.\u003C/p\u003E\n\u003Cp\u003E\u003Cem\u003ESee how Thomson Reuters uses Cortex Analyst to build AI-powered analysis on enterprise data:\u003C/em\u003E\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"yt_what-are-okrs_0":{"id":"embed-7fa76908cb","youtubeVideoId":"8KIHr7d2sg8","layout":"responsive","youtubeAspectRatio":"56.25","youtubeAutoPlay":false,"youtubeLoop":false,"youtubeMute":false,"youtubePlaysInline":false,"youtubeRel":false,"embeddableResourceType":"core/wcm/components/embed/v1/embed/embeddable/youtube","type":"EMBEDDABLE",":type":"snowflake-site/components/youtube"},"title_the-anatomy-of-an-okr-objectives-and-key-results":{"id":"title-v2-c87882939e","additionalClasses":"anchor-title anchor-title--the-anatomy-of-an-okr-objectives-and-key-results","type":"heading2","lines":["The anatomy of an OKR: Objectives and key results"],":type":"snowflake-site/components/title-v2"},"text_the-anatomy-of-an-okr-objectives-and-key-results_0":{"id":"text-65d6377de8","text":"\u003Cp\u003EThe two components of an OKR perform different jobs. An objective is a qualitative statement of intent. It should give the team a clear direction while leaving room for different ways of reaching it. “Deliver a smoother onboarding experience,” for example, describes the outcome the team wants without prescribing a particular feature, campaign or workflow.\u003C/p\u003E\n\u003Cp\u003EA key result translates that direction into measurable evidence. Consider this key result that would demonstrate a smoother onboarding experience: “Reduce median time to first value from seven days to three days by the end of Q4.” The metric is median time to first value. Seven days is the baseline, three days is the target and the end of Q4 supplies the time boundary.\u003C/p\u003E\n\u003Cp\u003EThat structure also helps separate outcomes from outputs. “Ship five onboarding improvements” records activity. “Reduce time to first value from seven days to three days” measures the result the work is intended to produce.\u003C/p\u003E\n\u003Cp\u003EEach key result names a measurable outcome, which means each also relies on a metric definition and a data source. The framework establishes what the team intends to measure, but the data behind the metric determines how confidently the team measures it.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"card_v2_the-anatomy-of-an-okr-objectives-and-key-results_0":{"id":"card-v2-d7460401dc","additionalClasses":"seo-customer","configurationStatus":{"configured":true,"message":""},":type":"snowflake-site/components/card-v2","title":{"id":"title","type":"heading4","lines":["Customer story: Urban Company"],":type":"snowflake-site/components/title-v2"},"button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/customers/all-customers/video/urban-company/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Watch the customer story"},"image":{"id":"image","height":"351","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--00aaad2e-632c-4669-a483-ed57c54b2be3/ubran-company.png?quality=85&preferwebp=true","lazyEnabled":true,"alt":"Urban Company","isLcpImage":false,"width":"624",":type":"snowflake-site/components/image"},"type":"content-card","text":{"id":"text","text":"\u003Cp\u003EUrban Company uses Snowflake to unify data from customer interactions, service delivery and partner operations so teams can monitor North Star metrics such as partner availability, demand loss, NPS and partner earnings in real time. That data foundation also supports AI applications including gen AI-powered voice bots for partner onboarding, automated quality audits and text-to-SQL agents built with Snowflake Cortex AI.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text"},"layoutStyle":"horizontal"},"title_types-of-okrs-committed-vs-aspirational":{"id":"title-v2-f064007ead","additionalClasses":"anchor-title anchor-title--types-of-okrs-committed-vs-aspirational","type":"heading2","lines":["Types of OKRs: committed vs. aspirational"],":type":"snowflake-site/components/title-v2"},"text_types-of-okrs-committed-vs-aspirational_0":{"id":"text-db25a88d3b","text":"\u003Cp\u003EOrganizations often distinguish between committed and aspirational OKRs, a practice associated particularly with Google’s implementation of the framework.\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cstrong\u003EA committed OKR\u003C/strong\u003E represents an outcome the team is expected to deliver within the cycle. Resources and priorities should reflect that expectation, and the target is generally treated as a 100% commitment.\u003C/li\u003E\n\u003Cli\u003E\u003Cstrong\u003EAn aspirational OKR\u003C/strong\u003E deliberately reaches further. These stretch goals carry more uncertainty, and partial achievement may still represent substantial progress. \u003Ca href=\"https://www.whatmatters.com/resources/google-okr-playbook\" target=\"_blank\"\u003EGoogle’s grading approach\u003C/a\u003E, for example, treats 0.7 to 1.0 as the green range for aspirational OKRs, while committed OKRs are expected to reach 1.0.\u003C/li\u003E\n\u003C/ul\u003E\n\u003Cp\u003ELabeling the type at the beginning of the cycle gives the eventual score useful context. A 0.7 against a highly ambitious expansion goal and a 0.7 against a required regulatory milestone represent very different outcomes.\u003C/p\u003E\n\u003Cp\u003ESome organizations also separate strategic OKRs, which express higher-level or longer-horizon priorities, from operational or team OKRs that support them. Whatever terminology an organization adopts, the hierarchy should show how a team’s measurable outcomes connect to broader priorities.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_okrs-vs-kpis-how-they-relate":{"id":"title-v2-4789f6504d","additionalClasses":"anchor-title anchor-title--okrs-vs-kpis-how-they-relate","type":"heading2","lines":["OKRs vs. KPIs: How they relate"],":type":"snowflake-site/components/title-v2"},"text_okrs-vs-kpis-how-they-relate_0":{"id":"text-4aac970db0","text":"\u003Cp\u003EOKRs and key performance indicators (\u003Ca href=\"https://www.snowflake.com/en/analytics/business-intelligence/kpi/\"\u003EKPIs\u003C/a\u003E) are closely related, which explains much of the confusion between them.\u003C/p\u003E\n\u003Cp\u003EA KPI is an ongoing measure of performance. Monthly churn, gross margin, uptime, forecast accuracy and conversion rate might all remain on a dashboard quarter after quarter because the organization wants to monitor their health continuously.\u003C/p\u003E\n\u003Cp\u003EAn OKR specifies an objective with key outcomes the organization wants to produce during a defined period.\u003C/p\u003E\n\u003Cp\u003ETake customer churn:\u003C/p\u003E\n\u003Cp\u003EA KPI of monthly customer churn might be 5%. An OKR key result might include the same metric this way: Reduce monthly customer churn from 5% to 3% by the end of Q2.\u003C/p\u003E\n\u003Cp\u003EThe KPI supplies the measurement. The key result adds a baseline, target and deadline that describe the intended change.\u003C/p\u003E\n\u003Cp\u003EMany key results therefore use existing KPIs, although that relationship isn’t required. A team might create a new metric for an initiative that has never been measured before. In either case, the key result needs an agreed-upon method of calculation and a reliable source for the underlying data.\u003C/p\u003E\n\u003Cp\u003EKPIs can also serve as guardrails around an OKR. A product team pursuing rapid adoption, for example, might track support volume or customer satisfaction alongside its growth objective so that progress in one metric doesn’t hide deterioration in another.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_best-practices-for-writing-good-okrs":{"id":"title-v2-23a92dd878","additionalClasses":"anchor-title anchor-title--best-practices-for-writing-good-okrs","type":"heading2","lines":["Best practices for writing good OKRs"],":type":"snowflake-site/components/title-v2"},"text_best-practices-for-writing-good-okrs_0":{"id":"text-d670068bcf","text":"\u003Cp\u003EA good OKR narrows the field of attention. If a team enters a quarter with 15 objectives, dozens of key results and no clear ordering among them, the framework isn’t being used effectively. Writing a useful set of OKRs starts with the following best practices.\u003C/p\u003E\n\u003Ch3\u003EWrite objectives around outcomes\u003C/h3\u003E\n\u003Cp\u003EAn objective should describe an outcome the team wants to produce. “Run three acquisition campaigns” describes planned work. “Increase qualified demand from target accounts” gives the team a result that several kinds of work might contribute toward. The objective doesn’t need a metric since the objective’s key results supply them.\u003C/p\u003E\n\u003Ch3\u003EGive every key result a baseline and target\u003C/h3\u003E\n\u003Cp\u003EBaselines also reveal the scale of the proposed change. Raising activation to 60% means something very different if the current rate is 58% vs. 35%.\u003C/p\u003E\n\u003Cp\u003EKey results should also have specific targets. “Improve forecast accuracy” leaves too much unresolved. “Increase quarterly forecast accuracy from 72% to 85% by the end of Q4” establishes both the starting position and the expected result.\u003C/p\u003E\n\u003Ch3\u003EAssign one named owner\u003C/h3\u003E\n\u003Cp\u003EA key result often depends on work from several people, but responsibility for tracking it should remain clear. This person keeps the measurement visible and makes sure changes receive attention.\u003C/p\u003E\n\u003Ch3\u003EPressure-test the measurement\u003C/h3\u003E\n\u003Cp\u003EBefore committing to a key result, ask how its current value will be calculated during the cycle. Where does the data originate? How frequently does it refresh? Who owns the metric definition? Does the same label refer to the same calculation across dashboards and teams?\u003C/p\u003E\n\u003Cp\u003EA key result that requires a new measurement pipeline isn’t necessarily a bad key result. The team simply needs to account for that work before the cycle starts.\u003C/p\u003E\n\u003Cp\u003EThe same test catches key results that are difficult to evaluate at all. “Improve brand trust,” for instance, needs a defined measurement approach before the team can determine what progress looks like.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"callout_best-practices-for-writing-good-okrs_0":{"id":"text-882cbc27b5","additionalClasses":"callout callout--tip","text":"\u003Cp\u003E\u003Cstrong\u003EQUICK TIP\u003C/strong\u003E\u003C/p\u003E\n\u003Cp\u003EBefore finalizing a key result, identify the metric, baseline, target and data source you’ll use to measure it. Doing that during planning often surfaces ambiguous definitions or measurement gaps before they disrupt the OKR cycle.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular text-color-text-05"},"title_okr-examples-by-team":{"id":"title-v2-5364cbb2eb","additionalClasses":"anchor-title anchor-title--okr-examples-by-team","type":"heading2","lines":["OKR examples by team"],":type":"snowflake-site/components/title-v2"},"text_okr-examples-by-team_0":{"id":"text-8f1972e9fd","text":"\u003Cp\u003EOKRs take different forms across the organization because each team influences different business outcomes. The metrics might range from activation and retention to pipeline and forecast accuracy, but each key result should give the team a measurable way to connect its work to a broader objective.\u003C/p\u003E\n\u003Ch3\u003ELeadership\u003C/h3\u003E\n\u003Cp\u003E\u003Cstrong\u003EObjective:\u003C/strong\u003E Become the category’s most trusted brand.\u003C/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EPossible key results:\u003C/strong\u003E\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003EIncrease net promoter score from X to Y\u003C/li\u003E\n\u003Cli\u003ERaise competitive win rate from X% to Y%\u003C/li\u003E\n\u003Cli\u003EIncrease customer retention from X% to Y%\u003C/li\u003E\n\u003C/ul\u003E\n\u003Ch3\u003EProduct\u003C/h3\u003E\n\u003Cp\u003E\u003Cstrong\u003EObjective:\u003C/strong\u003E Make onboarding easier for new customers.\u003C/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EPossible key results:\u003C/strong\u003E\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003EIncrease activation rate from X% to Y%\u003C/li\u003E\n\u003Cli\u003EReduce median time to first value from X days to Y days\u003C/li\u003E\n\u003Cli\u003EReduce onboarding support tickets per new customer from X to Y\u003C/li\u003E\n\u003C/ul\u003E\n\u003Ch3\u003EMarketing\u003C/h3\u003E\n\u003Cp\u003E\u003Cstrong\u003EObjective:\u003C/strong\u003E Build a more predictable demand engine.\u003C/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EPossible key results:\u003C/strong\u003E\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003EIncrease qualified pipeline from $X to $Y\u003C/li\u003E\n\u003Cli\u003ERaise opportunity conversion from X% to Y%\u003C/li\u003E\n\u003Cli\u003EReduce cost per opportunity from $X to $Y\u003C/li\u003E\n\u003C/ul\u003E\n\u003Ch3\u003ESales and revenue operations\u003C/h3\u003E\n\u003Cp\u003E\u003Cstrong\u003EObjective:\u003C/strong\u003E Improve confidence in the revenue forecast.\u003C/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EPossible key results:\u003C/strong\u003E\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003EIncrease forecast accuracy from X% to Y%\u003C/li\u003E\n\u003Cli\u003EReduce median sales-cycle length from X days to Y days\u003C/li\u003E\n\u003Cli\u003EIncrease pipeline coverage from X to Y\u003C/li\u003E\n\u003C/ul\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_how-to-score-and-grade-okrs":{"id":"title-v2-8333ec6e21","additionalClasses":"anchor-title anchor-title--how-to-score-and-grade-okrs","type":"heading2","lines":["How to score and grade OKRs"],":type":"snowflake-site/components/title-v2"},"text_how-to-score-and-grade-okrs_0":{"id":"text-e9e06c517e","text":"\u003Cp\u003EMany OKR programs score individual key results on a 0.0-to-1.0 scale, then use those results to assess the objective as a whole.\u003C/p\u003E\n\u003Cp\u003ESuppose a key result aims to increase activation from 40% to 55%. If activation ends the cycle at 50%, the scoring method translates that progress into a standardized result so teams can review different KRs consistently.\u003C/p\u003E\n\u003Cp\u003EThe interpretation depends partly on the type of OKR. Google’s approach places aspirational scores from 0.7 to 1.0 in its green range, while committed OKRs are expected to reach 1.0. Consistently reaching 100% of highly aspirational goals could also indicate that the targets aren’t stretching the team very far.\u003C/p\u003E\n\u003Cp\u003EThe score is only one part of the end-of-cycle review, which should also look at what contributed to the result, which assumptions held up and what should change in the next cycle.\u003C/p\u003E\n\u003Cp\u003EFor example, a team that reached 0.6 might have encountered an incorrect assumption, an external dependency or a shift in business priorities. Another team with the same score might have started late or allowed the KR to drift out of daily work. The score alone can’t distinguish among those circumstances.\u003C/p\u003E\n\u003Cp\u003EFinally, the quality of the score depends on the quality of the underlying measurement. A carefully designed 0.0-to-1.0 scale is of little value if the source metric can’t be trusted because it’s out of date or defined in conflicting ways.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"callout_how-to-score-and-grade-okrs_0":{"id":"text-a896381c70","additionalClasses":"callout callout--warning","text":"\u003Cp\u003E\u003Cstrong\u003ECOMMON PITFALL\u003C/strong\u003E\u003C/p\u003E\n\u003Cp\u003EDirectly tying OKR scores to individual compensation creates conflicting incentives, particularly for aspirational goals. If an employee expects a lower stretch-goal score to reduce compensation, the rational response is to choose safer targets. The framework then loses some of its usefulness as a way to pursue ambitious outcomes and learn from misses.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular text-color-text-05"},"title_the-okr-cycle-setting-check-ins-and-retrospectives":{"id":"title-v2-4cbe22f418","additionalClasses":"anchor-title anchor-title--the-okr-cycle-setting-check-ins-and-retrospectives","type":"heading2","lines":["The OKR cycle: setting, check-ins and retrospectives"],":type":"snowflake-site/components/title-v2"},"text_the-okr-cycle-setting-check-ins-and-retrospectives_0":{"id":"text-04ca2c82f0","text":"\u003Cp\u003EOKRs are designed to operate as a recurring management cadence. Planning establishes the target, check-ins surface changes early and the retrospective turns the final result into input for the next cycle.\u003C/p\u003E\n\u003Ch3\u003ESet the OKRs\u003C/h3\u003E\n\u003Cp\u003EA typical quarterly cycle begins with drafting and aligning objectives, establishing key results and naming owners. At this stage, teams should confirm that each key result has a clear baseline, target and measurement source, since unresolved definitions tend to surface later during check-ins.\u003C/p\u003E\n\u003Ch3\u003EReview progress regularly\u003C/h3\u003E\n\u003Cp\u003EDuring the quarter, teams review progress weekly or biweekly, identify KRs that are slipping and adjust the work around them. Frequent check-ins give teams a chance to respond while there’s still time to influence the result. Rather than waiting until the end of the quarter to discover that a key result fell short, teams can investigate what’s driving any changes in a metric and adjust their work accordingly.\u003C/p\u003E\n\u003Cp\u003EA useful check-in starts with the current value of each key result and then asks what changed, what’s blocking further movement and which actions deserve attention before the next review.\u003C/p\u003E\n\u003Cp\u003EIf the first part of every meeting goes toward collecting spreadsheet updates or reconciling conflicting figures, the cadence carries unnecessary administrative overhead. With current measurements available at the time of the meeting, the discussion can move more quickly to the trajectory of the goal and what to do next.\u003C/p\u003E\n\u003Ch3\u003EScore and run a retrospective\u003C/h3\u003E\n\u003Cp\u003EAt the end of the cycle, teams score the results and review what shaped them. The score shows how much progress the team made toward the target, while the retrospective looks at what contributed to the result, which assumptions held up and what should change in the next cycle. This review should feed directly into the next round of planning.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_common-okr-mistakes-and-how-to-avoid-them":{"id":"title-v2-770f1e69f2","additionalClasses":"anchor-title anchor-title--common-okr-mistakes-and-how-to-avoid-them","type":"heading2","lines":["Common OKR mistakes and how to avoid them"],":type":"snowflake-site/components/title-v2"},"text_common-okr-mistakes-and-how-to-avoid-them_0":{"id":"text-97df200d10","text":"\u003Cp\u003EMost OKR problems fall into a few recurring patterns, several of which surface only after execution starts.\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cstrong\u003EToo many OKRs:\u003C/strong\u003E A long list weakens the prioritization the framework is supposed to create. Keep the active set small enough that each objective receives attention throughout the cycle.\u003C/li\u003E\n\u003Cli\u003E\u003Cstrong\u003EOutputs framed as outcomes:\u003C/strong\u003E “Launch a new feature” records completion of work. A KR such as “Increase weekly adoption of the workflow from 22% to 35%” measures what happened after the feature reached users.\u003C/li\u003E\n\u003Cli\u003E\u003Cstrong\u003EWeak alignment:\u003C/strong\u003E Team OKRs should connect visibly to company priorities rather than operating as an independent planning layer.\u003C/li\u003E\n\u003Cli\u003E\u003Cstrong\u003ESet-and-forget planning:\u003C/strong\u003E Quarterly goals lose operational relevance when teams review them only during planning and closeout. Regular check-ins keep the metric in the decision cycle.\u003C/li\u003E\n\u003Cli\u003E\u003Cstrong\u003EGoals detached from daily work:\u003C/strong\u003E A team needs some ability to influence its key results through the choices it makes during the quarter. Otherwise, the metric functions primarily as an observation.\u003C/li\u003E\n\u003Cli\u003E\u003Cstrong\u003EGaming the score:\u003C/strong\u003E Treating OKR attainment as a direct proxy for employee performance encourages safer targets and complicates the use of aspirational OKRs.\u003C/li\u003E\n\u003Cli\u003E\u003Cstrong\u003EUntrustworthy measurement:\u003C/strong\u003E A manually copied or stale number, or a disputed definition wastes time on reconciliation tasks. This problem is easy to treat as an OKR-tooling issue, but it often starts further down the stack with metric definitions, data sources and governance.\u003C/li\u003E\n\u003C/ul\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_tracking-key-results-on-live-governed-data":{"id":"title-v2-24bc9128b0","additionalClasses":"anchor-title anchor-title--tracking-key-results-on-live-governed-data","type":"heading2","lines":["Tracking key results on live, governed data"],":type":"snowflake-site/components/title-v2"},"text_tracking-key-results-on-live-governed-data_0":{"id":"text-13f6bc197d","text":"\u003Cp\u003ESpreadsheets and dedicated OKR tools are often enough to record objectives, owners and scores. The challenge is keeping the measurement behind each key result current and consistent, particularly when that measurement depends on data from several systems.\u003C/p\u003E\r\n\u003Cp\u003EConsider a KR to increase qualified-pipeline conversion from 18% to 24%. Teams need to be in agreement on which opportunities qualify, which stage transition counts as conversion, how reopened opportunities are handled and which dates determine inclusion in the reporting period. If those rules are implemented separately in a CRM report, BI dashboard and analyst query, each system might produce a different result while measuring the same KR.\u003C/p\u003E\r\n\u003Cp\u003ECopying a value into a spreadsheet introduces another issue: the recorded score reflects the metric at the time someone entered it, rather than its current value.\u003C/p\u003E\r\n\u003Cp\u003EConnecting a key result to live, governed data addresses both problems. The underlying data is managed and refreshed according to the organization’s requirements, while shared business logic establishes how the metric is calculated. The OKR view can then reference that measurement rather than maintaining a separate copy.\u003C/p\u003E\r\n\u003Cp\u003EThe flow looks roughly like this:\u003C/p\u003E\r\n\u003Cp\u003E\u003Cb\u003ESource data → integration and transformation → governed metric definition → current metric value → OKR tracking and analysis\u003C/b\u003E\u003C/p\u003E\r\n\u003Cp\u003E“Live” doesn’t necessarily mean real time. A quarterly revenue KR might need daily updates, while an operational metric has much lower latency requirements. What matters is that the measurement remains connected to its managed source and refreshes at a cadence appropriate to the decisions the team needs to make.\u003C/p\u003E\r\n\u003Cp\u003EGovernance applies consistent metric definitions, ownership, lineage and appropriate permissions to help teams understand what a number represents, where it came from and whether they should use it for a particular key result.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_whats-next-ai-assisted-and-agentic-okrs":{"id":"title-v2-538434a79e","additionalClasses":"anchor-title anchor-title--whats-next-ai-assisted-and-agentic-okrs","type":"heading2","lines":["What’s next: AI-assisted and agentic OKRs"],":type":"snowflake-site/components/title-v2"},"text_whats-next-ai-assisted-and-agentic-okrs_0":{"id":"text-f1d2f96643","text":"\u003Cp\u003EAI is beginning to influence several parts of goal management, including work that involves drafting, monitoring and summarizing OKRs.\u003C/p\u003E\r\n\u003Ch3\u003EImprove OKRs during planning\u003C/h3\u003E\r\n\u003Cp\u003EDuring goal setting, AI-assisted tools can review draft objectives and key results for structural problems such as vague language, missing baselines, unrealistic targets or activities presented as outcomes.\u003C/p\u003E\r\n\u003Cp\u003EThat kind of review is most useful as a quality check rather than a substitute for strategic judgment. An \u003Ca href=\"https://www.snowflake.com/en/artificial-intelligence/\"\u003EAI system\u003C/a\u003E might flag that “launch three onboarding improvements” describes output, for example, while the team still has to decide which customer outcome should replace it and what level of improvement is realistic.\u003C/p\u003E\r\n\u003Ch3\u003EMonitor progress during the cycle\u003C/h3\u003E\r\n\u003Cp\u003EOnce the quarter is underway, AI has a different role: helping teams identify changes that deserve attention. When key results are connected to current metrics, an analytical or \u003Ca href=\"https://www.snowflake.com/en/artificial-intelligence/agents/\"\u003Eagentic system\u003C/a\u003E can compare progress with the target, surface an unexpected shift and gather supporting information about what changed. A sales KR that starts falling behind, for instance, could trigger analysis by region, segment or pipeline stage before the next scheduled review.\u003C/p\u003E\r\n\u003Cp\u003EThat moves some of the monitoring work out of manual status preparation. Rather than waiting for someone to notice a problem in a spreadsheet, teams receive earlier signals that warrant investigation.\u003C/p\u003E\r\n\u003Ch3\u003EPrepare for reviews and retrospectives\u003C/h3\u003E\r\n\u003Cp\u003EAt review time, AI-assisted analysis can help assemble the context behind a score. A system might summarize how a metric changed during the quarter, identify periods of acceleration or decline, surface related KPIs and draft a pre-read for the team to review before a quarterly business review.\u003C/p\u003E\r\n\u003Cp\u003E\u003Ca href=\"https://www.snowflake.com/en/artificial-intelligence/natural-language-processing/\"\u003ENatural-language\u003C/a\u003E interfaces give leaders another way to investigate the result. Questions such as “What contributed most to the decline in activation this month?” or “Which customer segments are furthest from the Q4 target?” can lead directly into analysis when the relevant metrics and business concepts are available to the system.\u003C/p\u003E\r\n\u003Cp\u003EAcross all three stages, the same constraint applies: AI inherits the quality of the measurements it uses. If a key result relies on inconsistent definitions, stale values or poorly governed source data, faster analysis simply reproduces those weaknesses at greater speed. Live, governed data and shared metric definitions give AI-assisted and agentic workflows a more reliable basis for interpreting progress.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_how-snowflake-supports-okr-tracking-on-governed-data":{"id":"title-v2-4d01f5fc26","additionalClasses":"anchor-title anchor-title--how-snowflake-supports-okr-tracking-on-governed-data","type":"heading2","lines":["How Snowflake supports OKR tracking on governed data"],":type":"snowflake-site/components/title-v2"},"text_how-snowflake-supports-okr-tracking-on-governed-data_0":{"id":"text-87b359bc61","text":"\u003Cp\u003EOrganizations can use Snowflake to bring together data from operational systems, apply consistent business logic and supply governed metrics for BI, \u003Ca href=\"https://www.snowflake.com/en/analytics/\"\u003Eanalytics\u003C/a\u003E and AI workflows. For OKR tracking, a key result can reference the same metric definition used elsewhere instead of relying on a separate calculation maintained specifically for the OKR process.\u003C/p\u003E\n\u003Cp\u003E\u003Ca href=\"https://docs.snowflake.com/en/user-guide/views-semantic/overview\"\u003ESnowflake Semantic Views\u003C/a\u003E are schema-level objects for defining business concepts, including metrics, dimensions and relationships, over physical data. Centralizing that logic helps reduce duplicated metric definitions across queries and analytical tools, while the resulting Semantic Views can be queried directly with SQL and used by \u003Ca href=\"https://www.snowflake.com/en/developers/guides/getting-started-with-cortex-analyst/\"\u003ECortex Analyst\u003C/a\u003E.\u003C/p\u003E\n\u003Cp\u003EFor a qualified-pipeline KR, for example, a Semantic View could define the metric and the relationships required to calculate it according to the organization’s agreed business rules. The Semantic View Editor in Snowsight provides a visual interface for creating and editing those definitions, including logical tables, dimensions, facts, metrics and relationships.\u003C/p\u003E\n\u003Cp\u003ECortex Analyst uses Semantic Views to interpret natural-language questions and generate SQL against the associated data. During an OKR review, a team could use that semantic context to investigate a change in a key-result metric — for example, by looking at performance across regions, products or customer segments represented in the view.\u003C/p\u003E\n\u003Cp\u003EBecause Semantic Views are Snowflake schema-level objects, they also integrate with Snowflake’s privilege system and metadata catalog. This keeps metric definitions, access controls and the underlying data within the same governed environment, while allowing the same business concepts to support SQL, BI and AI-assisted analysis.\u003C/p\u003E\n\u003Cp\u003EFor OKR programs, the benefit is specific: teams can measure a key result using the same governed definitions already used elsewhere in the organization, rather than maintaining separate formulas and periodically copying their outputs into a status report.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_build-okrs-on-metrics-teams-trust":{"id":"title-v2-69a4088faa","additionalClasses":"anchor-title anchor-title--build-okrs-on-metrics-teams-trust","type":"heading2","lines":["Build OKRs on metrics teams trust"],":type":"snowflake-site/components/title-v2"},"text_build-okrs-on-metrics-teams-trust_0":{"id":"text-bbdd3c709a","text":"\u003Cp\u003EOKRs give teams a disciplined way to choose priorities, define measurable outcomes and revisit them throughout a planning cycle. The framework works best when that measurement discipline extends into the data behind each key result.\u003C/p\u003E\n\u003Cp\u003EFor a small team, the supporting system may be straightforward. As OKRs span functions, analytical tools and AI interfaces, teams need shared metric definitions and current data that provide a more consistent basis for scoring progress and deciding where to act.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"callout_build-okrs-on-metrics-teams-trust_0":{"id":"text-3993e611ae","additionalClasses":"callout callout--general","text":"\u003Cp\u003E\u003Cstrong\u003EKEY TAKEAWAY\u003C/strong\u003E\u003C/p\u003E\n\u003Cp\u003EEffective OKRs depend on both goal design and measurement discipline: teams need meaningful outcomes, clear targets, regular reviews and reliable metrics that show whether the work is producing the intended result.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular text-color-text-05"}},":itemsOrder":["callout__0","text__0","title_what-are-okrs","text_what-are-okrs_0","yt_what-are-okrs_0","title_the-anatomy-of-an-okr-objectives-and-key-results","text_the-anatomy-of-an-okr-objectives-and-key-results_0","card_v2_the-anatomy-of-an-okr-objectives-and-key-results_0","title_types-of-okrs-committed-vs-aspirational","text_types-of-okrs-committed-vs-aspirational_0","title_okrs-vs-kpis-how-they-relate","text_okrs-vs-kpis-how-they-relate_0","title_best-practices-for-writing-good-okrs","text_best-practices-for-writing-good-okrs_0","callout_best-practices-for-writing-good-okrs_0","title_okr-examples-by-team","text_okr-examples-by-team_0","title_how-to-score-and-grade-okrs","text_how-to-score-and-grade-okrs_0","callout_how-to-score-and-grade-okrs_0","title_the-okr-cycle-setting-check-ins-and-retrospectives","text_the-okr-cycle-setting-check-ins-and-retrospectives_0","title_common-okr-mistakes-and-how-to-avoid-them","text_common-okr-mistakes-and-how-to-avoid-them_0","title_tracking-key-results-on-live-governed-data","text_tracking-key-results-on-live-governed-data_0","title_whats-next-ai-assisted-and-agentic-okrs","text_whats-next-ai-assisted-and-agentic-okrs_0","title_how-snowflake-supports-okr-tracking-on-governed-data","text_how-snowflake-supports-okr-tracking-on-governed-data_0","title_build-okrs-on-metrics-teams-trust","text_build-okrs-on-metrics-teams-trust_0","callout_build-okrs-on-metrics-teams-trust_0"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-medium"},"flexible_column_content_container_2":{"additionalClasses":"hub-sidebar","layout":"SIMPLE","id":"hub-body-aside",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"container":{"additionalClasses":"sticky-sidebar","layout":"RESPONSIVE_GRID","columnCount":12,"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"text_943981956_copy_":"aem-GridColumn aem-GridColumn--default--12","text_copy":"aem-GridColumn aem-GridColumn--default--12"},"id":"container-e9f8629a8a",":type":"snowflake-site/components/container",":items":{"text_943981956_copy_":{"id":"text-d0594e364e","additionalClasses":"eyebrow-text","text":"\u003Cp\u003EIn This Guide\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular"},"text_copy":{"id":"text-bb9b0188e5","additionalClasses":"page-toc","text":"\u003Cul\u003E\u003Cli data-anchor=\"what-are-okrs\"\u003EWhat are OKRs?\u003C/li\u003E\u003Cli data-anchor=\"the-anatomy-of-an-okr-objectives-and-key-results\"\u003EThe anatomy of an OKR: Objectives and key results\u003C/li\u003E\u003Cli data-anchor=\"types-of-okrs-committed-vs-aspirational\"\u003ETypes of OKRs: committed vs. aspirational\u003C/li\u003E\u003Cli data-anchor=\"okrs-vs-kpis-how-they-relate\"\u003EOKRs vs. KPIs: How they relate\u003C/li\u003E\u003Cli data-anchor=\"best-practices-for-writing-good-okrs\"\u003EBest practices for writing good OKRs\u003C/li\u003E\u003Cli data-anchor=\"okr-examples-by-team\"\u003EOKR examples by team\u003C/li\u003E\u003Cli data-anchor=\"how-to-score-and-grade-okrs\"\u003EHow to score and grade OKRs\u003C/li\u003E\u003Cli data-anchor=\"the-okr-cycle-setting-check-ins-and-retrospectives\"\u003EThe OKR cycle: setting, check-ins and retrospectives\u003C/li\u003E\u003Cli data-anchor=\"common-okr-mistakes-and-how-to-avoid-them\"\u003ECommon OKR mistakes and how to avoid them\u003C/li\u003E\u003Cli data-anchor=\"tracking-key-results-on-live-governed-data\"\u003ETracking key results on live, governed data\u003C/li\u003E\u003Cli data-anchor=\"whats-next-ai-assisted-and-agentic-okrs\"\u003EWhat’s next: AI-assisted and agentic OKRs\u003C/li\u003E\u003Cli data-anchor=\"how-snowflake-supports-okr-tracking-on-governed-data\"\u003EHow Snowflake supports OKR tracking on governed data\u003C/li\u003E\u003Cli data-anchor=\"build-okrs-on-metrics-teams-trust\"\u003EBuild OKRs on metrics teams trust\u003C/li\u003E\u003C/ul\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-small text-color-text-05"}},":itemsOrder":["text_943981956_copy_","text_copy"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-medium"}},":itemsOrder":["container"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-small"},":type":"snowflake-site/components/flexible-column-container","isBlogPage":false,"isActiveTOC":false},"flexible_column_cont_1786318617":{"id":"flexible-column-container-876ac53fd5","propertiesId":"hub-faq","type":"2-column-40-60","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"large","bottomPadding":"large","spaceBetween":"small","reverseOnMobile":false,"carouselOnMobile":false,"backgroundImageOption":"none","flexible_column_content_container_1":{"layout":"SIMPLE","id":"hub-faq-intro",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"title_v2_copy":{"id":"title-v2-d0d7631658","additionalClasses":"hub-faq__headline","type":"heading2","lines":["Frequently Asked Questions"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"left-alignment"},"text_copy":{"id":"text-fc554752f9","additionalClasses":"hub-faq__subheadline","text":"\u003Cp\u003EYour common questions about OKRs, answered by Snowflake experts.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"}},":itemsOrder":["title_v2_copy","text_copy"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small"},"flexible_column_content_container_2":{"layout":"SIMPLE","id":"hub-faq-accordions",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"simple_snowflake_acc":{"id":"simple-snowflake-accordion-44c91b2ded","additionalClasses":"seo-hub__faqs","showDivider":false,"accordionItemsList":[{"title":"How many OKRs should a team set per quarter?","richText":"\u003Cp\u003EMost OKR guidance favors a small set of objectives with a few key results under each. The exact number varies by organization, but the set should remain small enough that each objective receives regular attention and genuinely represents a priority.\u003C/p\u003E"},{"title":"Are OKRs the same as SMART goals or a balanced scorecard?","richText":"\u003Cp\u003EThey address different parts of goal and performance management. SMART provides criteria for writing a specific goal, while a \u003Ca href=\"https://www.snowflake.com/en/analytics/business-intelligence/strategy/balanced-scorecard/\"\u003Ebalanced scorecard\u003C/a\u003E organizes strategic performance across several perspectives of an organization. OKRs use objectives and measurable key results within a recurring planning, tracking and scoring cadence. Organizations sometimes use these approaches together.\u003C/p\u003E"},{"title":"Do OKRs work for small teams and startups?","richText":"\u003Cp\u003EYes. Smaller teams often have fewer layers of goal alignment and fewer systems supplying key-result data, but the same core practices still apply: keep the set focused, define measurable key results, name owners, review progress regularly and use a trusted source for each measurement.\u003C/p\u003E"}],":type":"snowflake-site/components/simple-snowflake-accordion"}},":itemsOrder":["simple_snowflake_acc"]},":type":"snowflake-site/components/flexible-column-container","isBlogPage":false,"isActiveTOC":false,"appliedCssClassNames":"snowflake-flexible-column-container-gray-10-bg"},"flexible_column_cont_1467213961":{"id":"flexible-column-container-0a7b3f5d83","propertiesId":"hub-explore-resources-header","type":"1-column","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"large","bottomPadding":"none","spaceBetween":"small","reverseOnMobile":false,"carouselOnMobile":false,"backgroundImageOption":"none","flexible_column_content_container_1":{"layout":"SIMPLE","id":"container-e94d786ca2",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"title_v2":{"id":"title-v2-f699670c83","additionalClasses":"hub-explore-resources-header__headline","type":"heading2","lines":["Explore Analytics 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