Our brains have a natural tendency to sort things into groups.
This sorting is based on experiences we’ve had throughout life, whether those experienced occurred personally or were shared experiences from others.
This phenomenon often leads to snap judgements and in the workplace, what some psychologists call Idiosyncratic Rater Effect— which tells us that a rating of a performance quality such as “potential” is driven by the idiosyncrasies of the rater versus the ratee.
Awari solves this problem by recognizing patterns of unconscious bias in performance appraisals and indicating, by applying a percentage and score, which biases dominate an individual, department, and in time an overall company.
While this cannot eliminate bias, it can help company leaders make better systemic decisions, leading to increased objectiveness in the performance appraisal process and cost savings.
1. In one sentence, how would you describe what your product does?
Awari is a cognitive enterprise application that detects hidden bias in performance reviews.
2. How does it work?
It works by leveraging machine learning and natural language process interfaces to interpret sentiment in written language.
The sentiment analysis is coupled with an algorithm that cross-references data looking for patterns that may indicate positive, negative, or neutral sentiment.
3. What are the key benefits that your product bring to companies and/or candidates?
The key benefit companies will receive from Awari is quantitative data on unconscious biases that are specific to their organization.
Companies may also benefit from reduced cost of training, lost productivity due to low retention rates, or lawsuits—allowing a company to better allocate funds toward other workforce initiatives or back into the business elsewhere.
4. Any existing local case study? What were they using before this, and why did they switch?
Not yet, but we are working on partnering with bold and courageous companies who have a minimum of 200 employees and a need/desire to mitigate bias and build a more inclusive company culture.
5. Who are your closest competitors?
Our closest competitor is a company called Joonko, which also uses artificial intelligence to address unconscious bias in real-time.
Our product is different in the fact that we are analyzing the past versus addressing the present.
Bias is often engraved in a company culture, systems, and processes— and we believe that the most effective way to mitigate it (bias) is not to check it as it is occurring, but to look where it already exists throughout the organization.
There is a west African proverb (Sankofa) that says “one must look back at the past in order to have a prosperous future” That is what Awari is doing.
We also have strategic consultants that can work directly with executive leaders to develop a solid plan of action to systemically address bias based on their organization’s specific challenge.
6. How much does it cost?
The cost is customized and based specifically on the company size and need.
Awari.io is a product, but only a cog to the strategic consultative services to truly aid companies in addressing bias.