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data-analytics and psychology.

DEI Risk Assesment

Assess your organization’s diversity, equity, and inclusion condition via data analytics
Sample Insights
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Under Construction

Bias Analysis

Understand your interactions within diverse communities via a personalized report

Sneak Peek
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Equity Workshop

Heal your community with through therapeutic learning programs about race, gender, and sexuality

Equity Exercises
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Equity Risk Assessment

Let’s analyze your company data and discover the bias and insights within your organization.

 

Primary Outcome:
Your business will be able to prioritize the experiences of the most marginalized community, saving costs and increasing the value of the impact. 

 

Description:
You’ll receive a equity SWOT analysis for your organization.
Step 1: We interview your key stakeholders, helping your organization create and agree on DEI goals
Step 2: We analyze data that you use to support your employees (hiring, promotion, compensation, termination, etc) 
Step 3: We investigate via qualitative interviews with your team, testing insights from your data and finding source of the ifo
Step 4: We benchmark your data vs anonymized data donated from businesses and our original bias analysis data 
Step 5: You receive a report on the DEI strengths, weaknesses, opportunities, and threats

 

Key Details:
Schedule Analysis

Bias Analysis

Discover your bias via our online platform that combines qualitative and quantitative research. Here’s how it works!

 

Primary Outcome:
You walk away with a new understanding of their bias, how intense it is, and how it has and may affect their live.

 

Description:
  1. You create an account with their information – we will ask for and track data on Learner identity, socio-economic background, and their biometrics via a fitbit watch
  2. You take bias assessment, rating their first impressions of a multitude of people
  3. We compare your responses to vetted research and verify it against ALL other test takers
  4. You receive results what type of bias they have (race, gender, or sexuality) and what “direction” the bias is in (positive, neutral, or negative)
  5. By clicking into the results of bias, You can see how that bias shows up in themselves and others
  6. You can explore what resources (books, videos, professionals) helped other people become more aware of their bias
  7. You will, one day, be able to schedule a time to review results with an in-house representative to explain what the data means and how it got to that conclusion We make people more aware, give them tools to make better decisions, and destigmatize bias discovery and mental health.

 

Key Details:
7-14 minute assessment from home
Personalized bias report
Report will update as research evolves
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Equity Workshop

We’ll guide your community through using their own data to investigate if the community is equitable or not. Your community can expect to walk away with better skillset exploring, analyzing, and questioning if something is equitable.

 

Primary Outcome:
Participants become more comfortable using these toolsets to understand and tackle the challenges they face at work.

 

Description:

You’ll learn how to explore challenges in equitable with a real-example, and we’ll explain each step along the way.

We select a real life challenge the company is facing, and examine it together.
  • Why are so many C-suites racially homogenous and mostly men?
  • Why are all of my closest friends of the same race/gender?
  • Is it a coincidence that only one community is highly represented in “x”?
You’ll learn how to analysis real-life examples with using facts.
During this portion of the workshop, we take a look at real life data. Examples could include a company’s promotional materials, or a city’s demographic data. Activities for this portion include:

 

You’ll learn how to combine morality with logic. Equity makes sense, and we’ll help you build a compelling case for change.
This is the exercise portion of the workshop, where we combine the topics and ask questions about how they are or aren’t connected. For example, is a company’s composition reflective of the composition of its city? Does its promotional material reflect its actual composition? We’ll focus on a key question: based on the data, is it logical? Based on your/their experiences, does the data make sense? What will I need to prove or disprove it?

 

Key Details:
3 sessions, 45-minutes each – best over 3 consecutive days
Workshops are meant for the decision makers, C-suite leaders show the most improvement
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