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6 Ways to Harness AI In Reducing Hiring Bias

Written by:
Shivani Shivani

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October 31, 2024
TL;DR

Every sector, including HR, is rapidly adopting AI in 2024. As of early 2024, about 38% of HR leaders are actively piloting or have already implemented generative AI technologies within their operations, showing a significant increase from 19% in mid-2023​. This is in line with another survey where 61% of CHROs planned to invest in AI in 2024.

In this competitive landscape, a diversely constructed team is the secret to success, and companies with a diverse workforce are more likely to outperform others. However, hiring bias remains a stubborn barrier to reducing hiring bias, where 50% of women and minorities are going to face a reduction in opportunities due to unconscious preferences.

What’s scary is that 75% of hiring managers know they have biases, often unconsciously favoring applicants similar to themselves.

But can’t you just turn the tide? Imagine a hiring process in which every candidate is evaluated solely on his or her abilities and qualifications—no biases, just raw talent. Step forward AI technology — your powerful ally in fighting hiring bias — along with innovative solutions like blind recruitment that can preclude bias from penetrating your hiring strategy and make it a pro-diversity, pro-inclusiveness champion.

Want to transform the way you recruit? Read on to find out how AI can help you transform your hiring process and help tap the full potential of a diverse team. 

So let’s get started!

Understanding Hiring Bias

How we think significantly involves a variety of unconscious bias that profoundly determines how we view reality. Ideally, the decisions to hire a candidate should be based solely on their ability to do the job well. Such a hire would then be approached objectively and pragmatically, free of subjectivity and unconscious bias.

But we don’t live in an ideal world and no matter how hard we try sometimes we let the factors around us affect our judgment.

Unfortunately, it’s nowhere more apparent where our unconscious bias plays out than in recruitment; when recruiters are told time and again to ‘trust your gut’ – to rely on and make decisions based on our intuition.

But as you’ll discover later on, intuition is based on, yup, you guessed it, unconscious bias.

Here is a preview of the different types of hiring biases that are common in the workplace.

1. Confirmation Bias —  You Want to Believe What You Think 

We all judge quickly, but we are all guilty of it; recruiters no less. We make snap judgments based on presumed truths and then go the rest of the time-around subconsciously or not-deleting for reasons why that should not have been the case. 

That is when we ask irrelevant questions, trying to coax an answer out to support our presumption about the candidate. We do this because we want to believe that we are right about our instincts and that we’re right in our assessment of him or her.

The obvious danger, of course, is that we might be passing over great candidates for no real reason at all.

2. Affect Heuristics — How they Look is How they Work 

This is when the recruiter uses mental shortcuts to come up with a conclusion about a candidate’s ability to perform the job without having made a thorough analysis of all evidence first.

Quite simply, you’re judging someone’s character on superficial things that don’t even influence how they’d accomplish a task. 

Like, for instance, if you decide that someone is incompetent because they have visible tattoos, someone who is overweight, and all that nonsense because you do not find that particular trait or facet of their personality acceptable.

3. Halo Effect — First Impression Shapes Perception

This hiring bias is like expectation anchor bias because it occurs when the recruiter forgoes the proper investigation of the background in favor of concentrating too heavily on one positive aspect, like where they went to school or what sports they do, and relies on that one thing when making decisions.

We zero in and let that golden halo lead us and our perception of the candidate. Forsaking all other information about them, we are blinded by this one thing about them, the thing we believe makes them so great.

This knowledge then blinkers the recruiter throughout the recruitment process, as we firmly believe this candidate stands ahead above the rest because of it.

4. Expectation Anchor — ‘My Star Employee from the 80s’ 

Expectation anchor bias is when we let ourselves anchor onto one certain piece of information about a candidate and use it in order to help us in making decisions.

For example, a good example can be described as when a recruiter refuses to believe that anybody else but a carbon copy of the role’s predecessor can do the job properly.

Thus, discounting most of the candidates in advance because they do not meet the unrealistic expectations of the recruiter.

5. Judgement Bias —  Expectation Twist our Judgement 

As recruiters, we may spend a great deal of time looking through resumes. Rather than allowing each resume to speak for itself, we might tend to compare the last resume with the one that preceded it.

In doing so, we’re merely shifting the goalposts with each new resume sift. We are then comparing a candidate rather than judging whether they are appropriate for a specific role, based on their skills and attributes as displayed on the resume.

6 Ways of Reducing Hiring Bias with AI 

Let’s take a look at 6 ways in which AI can be used to bring down the harm caused due to hiring bias in your team. 

1. Screening and Resume Sorting 

The very first step of any hiring process involves candidate screening. Traditional processes rely on human recruiters reading resumes and cover letters, an incredibly open invitation to biases. 

AI screenings rely on algorithms that analyze candidate profiles for the match against the qualifications of the available opening. AI can engage in conversation via SMS, WhatsApp, and social media, prequalifying candidates much more quickly and efficiently. 

Removal of Identifying Information: An AI system can remove identifying information from the resume, such as names, pictures, gender, or race. This ‘blind hiring’ technique eradicates unconscious biases in employment decisions.

Skills-Based Screening: AI-based tools screen candidates based on their skills, job experience, or training and certification and not on factors like college reputation or former employers. AI ensures that bias in screening candidates regarding background, education, etc., is minimized.

Data-Driven Comparisons: AI will compare each resume against the job requirements. The candidates are ranked according to how close they are to meeting those criteria. Therefore, no “gut feelings” and subjective judgments (that usually accompany a process of manual screening) will be present. The process is much more consistent and objective making it easy to eliminate bias from making such comparisons.

Consistency in Screening: AI treats all the applicants equally. As a result, the process is entirely just, equal, and merit-based.

Natural Language Processing (NLP): Advanced AI systems use NLP for resume analysis to look beyond keyword matches to get into the context of experience from the candidate. AI thus can identify transferable skills and potential that may have gone unnoticed and therefore eliminate bias toward those with less conventional career tracks.

Are you tired of hours spent manually sifting through resumes, worrying about unconscious biases creeping into your hiring decisions? 

Peoplebox’s AI-powered resume screening will change the way you hire into faster, smarter, and more equitable recruitment.

Peoplebox’s advanced AI automatically screens resumes on their skills and qualifications and not by their name, gender, or background. The AI technology scans through resumes for any relevant job criteria and ranks candidates for easy identification of high-potential talent and avoidance of manual bottlenecks in screening processes. 

Goodbye to bottlenecks in the hiring process from manual screening, and hello data-driven hiring process.

Book a demo with us today and supercharge your resume hiring process!

2. Standardize Interviews 

Forbes reveals that to avoid unconscious hiring bias, one has to be disciplined about asking all applicants the same questions as this allows “hiring decision-makers to base decisions on informed comparisons about applicants’ capabilities rather than their first impressions.”.

A standardized format for assessment and interviewing provides each candidate, irrespective of his or her background, with an equal scope in terms of fair competition. In addition, standardized assessments and formats reduce bias and increase overall efficiency in the recruitment process.

By using a one-way interview platform, the interviewers can conduct uniform interviews whereby questions asked to candidates will be the same in order to focus on answers. 

Pro Tip…

The same questions could be in a multiple-choice format question, a text format (or a combination) to help you reduce biases during the initial screening process. Keep the questions as objective as possible.

Then, skills assessments can be scored by an AI based on standard metrics in multiple media, which would then allow future interviews to be offered purely on scores from tests. And all this happens before any character information about the candidate is known.

After having had the interview, AI analytics would then step in to objectively assess these candidates before coming out with results to be presented to the hiring team for evaluation.

3. Data-Driven Decisions 

This is the core objective of AI hiring solutions. Objective and equal recruitment begins by trying to take some of the human factors and bias out of the equation.

 Such means that hiring managers can simply rely on facts and intelligent insights.

Now, with so many insights that AI solutions can draw from interviews, skills assessments, and candidate profiles, all this can be done objectively and indicate which of these critical skills are required for those roles. 

And this happens at the early stages, ensuring human influence does not creep in too early.

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4. Collective and Collaborative Hiring 

Heard the phrase… it takes a village?

This one may sound like a no-brainer, but it is so crucial for diverse hiring outcomes. In-person, or virtual, it is always fairer to have a panel of interviewers, ideally from diverse backgrounds themselves.

The power that AI brings to this equation is that collaboration and group assessment can instantly occur with continuous discussion. Virtual interviews allow all interviewers to score and rank candidates simultaneously. 

Multiple interviewers from all parts of the business can review the interviews done by the candidates and can join the conversation in the same channel.

It can lead to even more multiple perspectives and analyses by a range of employees. 

5. Diversity and Inclusion 

For any organization that believes in achieving a diverse workforce, Diversity, Equity, and Inclusion metrics are deeply important. AI would bring DE&I analysis at a level of granularity never possible before, giving an understanding of the diversity composition across the hiring lifecycle of candidates. 

Age, race, sex, and so on, will be tracked through AI, which is very important for making informed decisions based on a better understanding of an organization’s diverse landscape. 

Ensuring diversity goals without compromising on the quality of hire is what will facilitate using such data-driven approaches.

AI can sense diversity both within and outside of the organization, making targeted interventions that foster inclusiveness possible in departments or locations that seem to lag. 

This view, in particular, does not envision superficial aspects of diversity, but rather deeply embedded diversity in the makeup of an organization.

6. Transparency and Accountability

It provides maximum transparency and accountability. All the decisions taken by AI systems can be tracked and audited and will clearly outline a rationale regarding why those candidates were selected or rejected at some point in the selection process. 

Also Read: 25 Best Applicant Tracking Systems

This in itself lays down fundamental underpinnings in building trust within the recruitment process, not only within the organization but also with the candidates.

It also allows companies to detect and rectify any kind of biases present in their AI system for continuous improvement in the hiring process.

Best Practices in Using Artificial Intelligence in Hiring

Balancing innovation with ethical considerations with the right intention of ensuring that the process leads to reliable, fair, and unbiased outcomes is essential. Best practices for any field when deploying AI, but specifically in hiring and recruitment, include the following:

Dos:

✅Ensure Transparencies with AI Algorithms. Adopt transparent algorithms so that users may easily interpret what criteria are being set.

✅Ethical Data Collection through the Usage of Diverse and Representative Datasets to Reduce Biases in AI Models

✅Monitor continuously the output of the AI for bias by running continuous audits of AI outputs. 

✅Periodically retrain AI models to keep up with changing information and to remain vigilant regarding obsolescence.

✅Provide guidelines for the use of AI, ensuring compliance with laws and regulatory requirements.

Don’ts:

❗Do not make AI your final authority.  Al can do things that a human can do faster, but humans have a good deal of common sense and context that is extremely necessary for ethical checks.

❗Do not let AI decide everything. Limit automation to specific tasks. AI can screen resumes or answer basic customer service questions. However, full automation should be avoided.

Conclusion 

Bias in hiring is both an ethical and economic imperative. A diverse and inclusive workforce ensures innovation, high productivity, and employee satisfaction. AI recruitment offers a powerful antidote to bias in the hiring process with objective data-based assessments of candidates. 

AI screening, skill tests, interviews, and DE&I analysis can all be used together to make hiring practices not only more fair but even more inclusive for everyone. 

Hence, it means applying the use of AI to provide standardization, transparency, and accountability to make sure that equal chances of success are available to every one of those candidates entering the workplace in an entirely diverse manner.

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CTO, Hindsite

Top Picks

How to Roll Out OKRs for First Time: 7 Steps Startegy

How to Roll out OKRs for the first time is a question common among organizations just introducing OKRs.

Imagine a scenario-

You are rolling out OKR for the first time.

One thing goes wrong and… Boom! 

Your employees are already hating the process- even before it took a pace. 

You certainly wouldn’t want that to happen in your organization. OKRs can surcharge and accelerate your organizational growth. But the key is to get this done right.

That’s why a well-planned rollout is significant for the success of an OKR system.

Click Here to download ready to use OKR templates for your organization

How to roll out OKRs for the first time

Introduce the new goal-setting approach strategically but not in a mechanical process. Every organization is unique and can face unique challenges while implementing OKRs. 

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How to roll out OKRs: Here are 7 Best Practices for a successful OKR rollout

1 Communicate the OKR Methodology to all the teams

Get everyone in the organization on board with OKRs. Present the concept clearly and precisely. Educate everyone on the OKR language.

While some people will embrace the changes with open arms, there are also going to be some skeptics into the bargain. You must let them express their concerns and provide answers to their “why, how, and what?” questions.

Explain to them the benefits of implementing the OKR framework. Highlight how it’s going to impact the business and the individual success of the employees. 

Organize workshops, training, discussions,  introductory presentations, and seminars to help your employees’ design quality OKRs. Transparently explain to them the strategic execution, alignment, expectations, and tools they will be required to use for the purpose.

To help everyone speak the same language, document your company OKR framework 

2 Inspire with success stories

List the names of reputed companies like Google, Netflix, Intel, LinkedIn, Twitter, etc. which have successfully implemented OKRs. Narrate their success stories to help them visualize how OKRs can cater to their individual success.

For example, OKRs helped LinkedIn become a 20 Billion Company. Jeff Weiner, CEO of LinkedIn, describes OKRs as, “something you want to accomplish over a specific period of time that leans toward a stretch goal rather than a stated plan.

It’s something where you want to create greater urgency, greater mindshare.”  

To read more OKR success stories, click here.

3 Decide on your approach and framework

You can either go for an organization-wide rollout Consider running an OKR Pilot first, depending on what fits you best.

If you have a culture that’s open to change and a flexible structure of functioning, an organization-wide rollout will work best for you. But it’s always best to take small steps. Start from one part and gradually move to others. 

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Crafting and implementing OKRs across the entire organization can seem overwhelming especially if you are a large organization. Instead, choose a particular part of the organization and run a pilot project. 

“If you concentrate on small, manageable steps you can cross unimaginable distances.” 

It’s also important to decide “how often?” will OKRs be reviewed. Will it be done quarterly or annually?

4 Go for the Top-down approach

A top-down approach to OKRs was the first pattern attempted. The top management has a significant role in setting the overall direction of the company. Starting from the top provides clarity for the rest of the organization. 

“People buy into the leader before they buy into the vision.”

For example, you can start with the senior leadership team. Make them an example to roll out OKRs to the departmental heads. From there you can move on to team leaders, and to the rest of your teams.

5 Get aligned

You can’t just sit with a blank sheet in front and magically start crafting the perfect OKRs. You need to understand the context. Make the company mission and vision your starting point and tailor your OKRs accordingly. 

Buy-ins are critical for OKR success. The success of OKRs depends on the collective effort of each team member. You can imagine it as a group dance performance where everyone needs to perform their parts well to make it a masterpiece. 

Thus you need to align the efforts of the workforce,  executive leaders, and company heads both horizontally and vertically. This will help you foster transparency, smooth cross-functional communication, and reduce overlap among departments.

6 Track and monitor progress

Tracking OKRs are important to evaluate and measure the progress and understand which teams are falling short. 

You can identify any issues and make course corrections as required by Monitoring progress.

Leverage technology to track OKRs. It will make the process transparent.

Using OKR software will also automate the calculations and save your time as you are no longer required to manually update the progress of each team member.  

Bonus tip: Remember to celebrate whenever you Hit the nail on the head through OKR win meetings and shoutouts to keep 

7 Do frequent check-ins

To stay on top of OKR progress, you need to do regular check-ins. Employees might feel overwhelmed with concerns and doubts, especially in the initial days. 

Regular check-ins will give your employees direction. And provide them the required assistance and guidance. Frequent Check-in meetings will also identify the overlappings, increase accountability and ensure execution.

Define your preferred frequency of Check-in meetings. You can do it weekly or monthly as per your organization’s needs. Although weekly check-ins are most recommended to keep track of the progress and evaluate continuously.

Have OKR Champions

Consider having OKR champion who starts implementing the OKR framework with a strong war cry. Build a team of champions who will work as ambassadors to head the change. And make the OKR framework run smoothing across the organization.

They work as mentors and internal OKR experts. And can help you adopt and execute OKRs at all levels of the organization. These OKR enthusiasts will make sure that every concern is addressed, every ‘whys and wherefores’ are explained.  

Also Read: Essential Guide for OKR Champions in 2022

What to avoid?

  • Too many objectives and key results: Less is more. Don’t set more than 5-7 Objectives and 3-5 key results.
  • Fill it, Forget it: Don’t set OKRs just to forget in a few days.
  • Mixing KPIs with OKRs: KPIs aren’t a substitution for OKRs. They have separate roles and outcomes.
  • Rigidity: Rigid adherence to rules can lead to disengagement. Instead, move forward with a flexible and intuitive OKR approach 
  • Link OKRs with Recognition: Don’t make the mistake of making OKRs a base for your reward and recognition program. It can negatively affect performance. And compromises the business output.

The start is never perfect

You might struggle when you are just starting. But after a few OKR cycles, you are sure to hit your stride.

To end, OKR’s success depends on consistency. So, remember to continuously reflect, learn, and refine the process.

Hope we were able to answer all your queries in our blog How to roll out OKRs for the first time? If you have questions feel free to comment below.

Pooja Pooja
Types of OKRs: Aspirational OKRs vs Committed OKRs

Every organization wants to grow, but how do you set goals that are both achievable and visionary? The answer lies in the types of OKRs: committed and aspirational. 

Whether it’s near-term performance or long-term innovation for your business, you’ll know just how to leverage the power of committed and aspirational OKRs effectively to unlock new levels of success for your business.

Committed OKRs are about clear, attainable targets that teams can confidently deliver within a set timeframe. This type of OKR delivers accountability and is important for day-to-day business success. 

Aspirational OKRs, on the other hand; push teams to be bigger and challenge themselves. The moonshots: ambitious OKRs are meant to stretch an organization from its comfort zone, kindling innovation and long-term growth.

In the rest of this blog, we will take the difference between these two types of OKR apart and see how to balance them in such a way that they enable performance as well as inspiration. 

What are Aspirational OKRs and Other Types of OKRs?

A committed OKR is a stretch goal that the team has to achieve or complete before the cycle is over. A committed goal pushes the team to reach, but still achievable attainment. All metrics of the Key Results must be completed fully and on time. Consider a situation like this:

Daniel’s organization and his teams have agreed to execute certain OKRs and have mapped a precise action plan on how they are going to do so.

These are called Committed OKRs.

An aspirational OKR sets the bar for success further out, and by design will exceed a team’s ability to execute in a given quarter. When they set such a high bar as to be seemingly impossible they are called 10x goals, or “moonshots.” While most aspirational OKRs are never fully achieved, they exist to push a team to think bigger than a committed OKR. Consider the following case:

Martha’s organization is more visionary. They have stretched goals. And her teams are not likely to fully achieve these ambitious goals.

These are called Aspirational OKRs.

Understanding the distinction between aspirational and committed goals is crucial for effective goal-setting and team motivation within the OKR framework. Aspirational goals encourage ambitious thinking and long-term vision, while committed goals focus on immediate, measurable outcomes.

Learning OKR focuses on the acquisition of knowledge, new skills, or insights rather than a direct achievement of business outputs. Extremely helpful when entering new areas or uncertainties and requires experimenting, learning, and developing new skills, Learning OKRs distinguish between usual output measuring of success and measuring acquisition of knowledge, that will later add value for future objectives. For example:

Jerry wants to gain a deep understanding of machine learning to drive full product development. He wants to finish three advanced courses and test his skills by building a model in sandbox.

These are called Learning OKRs.

Aspirational OKRs and Committed OKRs: Key differences

When you aim for the stars, you may come up short, but still reach the moon.

– Larry Page 

Read on to find out the key difference between Committed OKRs and Aspirational OKRs. 

Objective 

Aspirational OKRs are meant to push the boundaries and encourage employees to achieve visionary objectives. Committed OKRs, on the other hand, focus on committed objectives that offer a more realistic vision of goals with fully achievable results.

Aim 

Committed OKRs help companies achieve their goals through individual and team achievements. Aspirational OKRs are often beyond the current capacities of the organization but help in pushing boundaries.

Timeframe 

Aspirational OKRs are usually created to focus on long-term strategic vision while Committed OKRs offer short-term operational priorities to guarantee progress in the short term. 

Success rate 

Committed OKRs are supposed to have a 100% success rate as each key result comprises fully achievable targets. Aspirational OKRs are usually found to have a success rate of 60-70%.

Committed and Aspirational OKR examples

The difference between committed and aspirational OKRs is subtle. Committed objectives are meant to be fully achievable, requiring teams to concentrate on straightforward priorities without taking unnecessary risks, ultimately serving as motivational tools to foster small wins and consistent progress.

A standard example in the sales team scenario might be like:

Committed OKR

  • O: Expand to the US market
  • KR1: Close first 6 start-ups
  • KR2: Get a meeting-to-close rate of 6%
  • KR3: Reach average deal size of $200

Aspirational OKR

  • O: Capture the entire US market in one quarter
  • KR1: Get onboard 95% of big customers in the US market to grow over competitors
  • KR2: Get a meeting-to-close rate of 30%
  • KR3: Reach average deal size of $2000

In the managerial team, these OKRs can manifest like such:

Committed OKR

  • O: Improve customer satisfaction with the existing solutions
  • KR1: Increase customer satisfaction score (CSAT) from 85% to 90% by the end of the quarter.
  • KR2: Reduce average response time from 15 minutes to 10 minutes within the next three months.
  • KR3: Train 100% of the support team on the new customer service tools within six weeks.

Aspirational OKR

  • O: Become the market leader in AI-powered customer service solutions.
  • KR1: Achieve a 30% market share in the AI customer service industry by the end of next year.
  • KR2: Launch three groundbreaking AI features that no competitor currently offers within 18 months.
  • KR3: Secure a partnership with at least two top-tier companies by the end of next year.

In a tech context, OKRs like these can come up:

Committed OKR

  • O: Improve the performance of the app and reliability
  • KR1: Reduce app crash rate from 2.5% to under 1% within the next quarter.
  • KR2: Decrease page load times by 30% in six months.
  • KR3: Fix 100% of the top ten reported bugs within the next two sprints.

Aspirational OKR

  • O: Revolutionize the user experience of our mobile app.
  • KR1: Increase daily active users (DAU) by 100% within 12 months.
  • KR2: Develop and launch a fully AI-driven recommendation system that personalizes the user experience by the end of the year.
  • KR3: Achieve a 4.8+ rating across app stores by introducing five innovative features within the next 18 months.

How to decide between Committed OKRs and Aspirational OKRs?

Committed OKRs will work best if your organization is newly introduced to the framework or is still in the rolling-out phase.

With each goal achieved, your team’s motivation and engagement will rise higher. In addition, teams easily get into the habit of running Committed OKRs and make it part of their work culture.

But if you have already used the framework in the past, aspirational OKRs can do wonders for you.

Creating a result-driven work culture takes time. It demands discipline, continuous effort, and a mindset shift of employees and management. So you should start simple and focus on learning the methodology first. And set up the necessary processes to make it work.

Setting aspirational OKRs in the very beginning would make your teams feel overwhelmed and over-pressurized. Extremely ambitious Key Results soon become too much to handle. Learning a new methodology takes time. Once your teams are used to the framework and it becomes a part of their work-life, you can consider aspirational OKRs.

With the later process, you can have objectives and a combination of committed and aspirational key results. While some key results will be easier to achieve, others will aim higher. Understanding the distinction between aspirational and committed goals is crucial for better goal-setting and team motivation.

Choosing the Right Type of OKRs

Choosing the right type of OKRs depends on the organization’s goals, culture, and priorities. Committed OKRs are suitable for organizations that need to achieve specific, measurable outcomes within a set timeframe. They are ideal for teams that require a clear direction and a sense of accountability. Aspirational OKRs, on the other hand, are suitable for organizations that want to drive innovation, creativity, and excellence. They are ideal for teams that want to push the boundaries and strive for something bigger.

When choosing between Committed and Aspirational OKRs, consider the following factors:

  • What are the organization’s goals and priorities?
  • What type of culture do we want to foster?
  • What kind of outcomes do we want to achieve?
  • What level of risk are we willing to take?

By considering these factors, organizations can choose the right type of OKRs that align with their goals, culture, and priorities. Whether you opt for committed or aspirational OKRs, the key is to ensure that they are aligned with your company aims and internal communication processes, fostering a balanced approach to achieving both immediate and long-term objectives.

How to balance Committed and Aspirational OKRs?

There is no one-size-fits-all answer, but where OKRs are aligned with company strategy, teams are well educated, open communication exists, and performance is reviewed regularly, it will help keep the balance between aspirational and committed OKRs intact.

However, the first step in finding equilibrium between the two forms of OKRs is that there has to be a knowledge of the difference. It needs to be apparent from the outset that everyone involved makes it clear the distinction between the two OKRs.

Teams and employees may have suitable insights that will assist in determining what is realistically achievable (committed) and what is a stretch but possible (aspirational). This can help determine what the balance ratio for the OKRs is going to be.

A very critical element to succeed with OKRs is reviewing and tracking the progress. With weekly check-ins, teams can go through their OKRs regularly and update the same performance data. It becomes easy to track how they have progressed on the outcome of the OKR in the OKR review process.

The grading of OKRs is very clear on the distinction between committed and aspirational goals. Committed OKRs are things to be accomplished within the cycle, and grading is binary: pass or fail. That is, an OKR is said to be successful if 100% of it is accomplished; otherwise, it is regarded as a failure. Aspirational OKRs, on the other hand, are graded along a more nuanced scale.

Common mistakes to avoid while setting up Aspirational OKRs

Here are 6 common mistakes organizations commit while setting up aspirational OKRs-

1️⃣Ignoring organizational structure and needs

A common mistake most organizations commit while writing aspirational OKRs is to write something like, “What can be done more if we have extra resources and luck favors us ?” Instead, you can pretend to be a genie and strive to understand “What our customer needs at present moment?” 

2️⃣Unrealistic aspirational OKRs

Aspirational OKRs don’t imply setting unrealistic goals. It should be achievable, with the understanding that your teams won’t have any clue about how to achieve these OKRs. Aspirational OKRs demand overuse of resources. They are fluid and flexible. But still helps your teams focus on well-defined goals.

3️⃣Writing a low-value objective (LVO)

Moving forward with a “Who cares?” attitude is a common pitfall among organizations.  Low-value objectives go unnoticed even after the successful completion of the key results. 

4️⃣OKRs should be framed to gain tangible benefit

OKRs are a tool for organizations to work for big goals in the long run by breaking them into small chunks that can be achieved within a shorter cycle.

5️⃣A committed OKR must deliver a 1.0

It makes the framework stiff and doesn’t leave scope for improvement.

6️⃣Too many OKRs

How many aspirational OKRs you should set for one cycle will depend on your company’s resources. But never aim for too many Objectives and key results. As it can easily divert your focus altogether.

Best Practices for Implementing OKRs

Implementing OKRs requires a structured approach to ensure success. Here are some best practices to consider:

  1. Align OKRs with company goals: Ensure that OKRs align with the organization’s overall goals and priorities.
  2. Make OKRs specific and measurable: Ensure that OKRs are specific, measurable, achievable, relevant, and time-bound (SMART).
  3. Set ambitious yet achievable goals: Set goals that are challenging yet achievable, and provide a clear direction for the team.
  4. Establish clear key results: Establish clear key results that indicate progress towards achieving the objective.
  5. Track progress regularly: Track progress regularly and provide feedback to teams and individuals.
  6. Foster a culture of transparency and accountability: Foster a culture of transparency and accountability, where teams and individuals are held accountable for their progress.
  7. Provide training and support: Provide training and support to teams and individuals to ensure they understand the OKR framework and how to use it effectively.
  8. Review and adjust OKRs regularly: Review and adjust OKRs regularly to ensure they remain relevant and aligned with the organization’s goals.

By following these best practices, organizations can implement OKRs effectively and achieve their goals. Regularly reviewing and adjusting OKRs ensures that they stay aligned with the evolving needs of the organization, helping teams to maintain focus and drive continuous improvement.

Conclusion

Now that you know the difference between committed and aspirational OKRs and how they can impact your organization’s success, it’s the decision time. Choose the one that will best suit your purpose.

And don’t forget it’s a trial and error method. Have regular OKR check-ins and reviews. Collect feedback during and after each cycle. And use your learnings to avoid further mistakes in the next OKR cycle.

Pooja Pooja
Quarterly OKRs: 5 Tips for Successful Wrap-Up

Imagine a scene! the quarter is about to end and it’s time to review and wrap up quarterly OKRs.

The clock’s ticking. Everyone is in a rush. And you are busy evaluating which goals are yet to be achieved. And what has already been done. It’s also time to think about your priorities for the next quarter. 

There are so many checklists and questions going in your head.

Have my teams found ways of closing out quarterly OKRs? Will my teams beat the clock and tick all the boxes? Have they reflected on their OKR progress? How will I deal with this end-of-quarter OKRs rush? 

Feeling overwhelmed!!

Here is a step by step guide to help you prepare best to wrap up your quarterly OKRs–

Click here to read champions guide for tracking OKRs

How to wrap-up quarterly OKRs?

Before you start to review and wrap up quarterly OKRs- remember that wrapping up quarterly OKRs is teamwork. And to see the best results every team irrespective of their department have to come together.

Here’s the ultimate quarterly OKRs review and wrap-up checklist for you:

Track and gather the metrics

Track your team’s OKR  progress and gather the key results scores. You can score your OKRs on a scale of 1 to 10 on the basis of how far the objectives have been achieved.

This will help you evaluate your progress in a truly data-driven manner. 

Click Here to download a 15 minutes read handbook on OKRs

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If the scores are low this might suggest that your OKRs were unrealistic. On the other hand, if the score is too high it may suggest that your OKRs were not ambitious enough.

Whatever learning you made from this process. It will help you to form the basis for designing your next set of quarterly OKRs.

Make sure everyone is up to date

It is important to ensure that your teams have clarity about their OKR status. At the same time, they have visibility into what other teams have been doing. It can be achieved through regular check-ins with your teams. Check this ebook on OKR handbook.

This step will help you check if your teams are aligned or not. When everyone in your team is on the same page taking decisions based on priorities becomes easy. As you have the data in hand to rely on instead of guessing.

Organize OKR check-ins

The importance of check-ins for OKR success cannot be emphasized enough. OKR check-ins provide you an opportunity to have 1 on 1 discussion in all OKR matters. 

With OKR check-ins you can discuss with your leaders and team members about – what went well, what didn’t work for them, what needs to be dealt with immediately, what problems they are facing etc. at an individual as well as team level.

OKR check-ins will help you understand what’s holding teams back. You will further get the chance to push priorities that might have shifted midway. 

Dig into opportunities

Organize Quarterly OKRs review meetings to dig into opportunities. During these meetings, go through each key result with your teams. Find out what went well and what needs to be done better. 

Let the OKR leaders from each team present their learnings and achievements before everyone. Here teams can give a small presentation highlighting the most important lessons with context. 

So that other teams can benefit from their learnings and experiences. And use them in designing their OKRs for the next quarter.

If you are a large-scale company working with multiple departments. The OKR review meetings can be held at the departmental level. 

Plan the future

Now that you have gathered the data and matrix you need through OKR check-ins and OKR review meetings. It’s high time to plan for the next quarter.

OKRs have the power to build the future of your organization. But OKR failures can cost you a fortune. 

Hence it’s important to find out the core reasons behind your OKR success or failure for the present quarter. And use it as context while designing OKRs for the next quarter.

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Do you need to plan new OKRs every quarter?

“Should OKRs change every quarter?” is a question often left unanswered. 

Even after an OKR is achieved, you can roll it forward for the next quarter if necessary.

For example, if your OKR was to increase customer satisfaction by 20% in the present quarter. This could be relevant even for the next few quarters. 

In case, of missed OKRs,  you need to take a call. And decide whether you want to carry it forward or set new OKRs based on the data gathered.

When should you review and wrap up Quarterly OKRs

You should preferably wrap up the quarterly OKRs at least a week prior to the beginning of the next quarter. 

But the preparation and discussions for the next quarter should be initiated almost a month before the new quarter begins. This is because designing OKRs takes dedication, time, and effort. 

Bonus Tips:

  1. Maintain Transparency from day one. Keep data transparent so that everyone knows how it’s going. 
  1. Create a culture of critical feedback. Be honest when it comes to feedback.  At the same time be open to getting feedback from your teams as well. 
  1. Celebrate wins– even the smallest ones. Recognize your teams for their achievements more often.
  1. Over-communicate. Communication is the key when it comes to wrapping up quarterly OKRs. 

Take a moment

Wrapping up end-of-quarter OKRs will allow you to pause and take a moment to think. It provides you time to reflect on your wins, failures, and setbacks. It’s a stitch in time to make sure that your OKR framework is a success.

Follow the steps given to close out quarterly OKRs and make the most out of the process.

Pooja Pooja