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Diversity, Equity, and Inclusion at Loom

What we stand for

Loom enables individuals, teams, and organizations to communicate more authentically. We aspire to build a company and a product where everyone feels seen, heard, and appreciated.

What we’re doing

We want to build a culture where everyone has what they need to thrive and where identity is not a barrier to impact. We're focused on doing the foundational work of making this a reality. We still have a long way to go, but we’re committed to seeing it through.

  • Representation
    • We diversify our interview pipelines through our own sourcing efforts and partnerships with organizations like Techqueria, Women Impact Tech, and Women Who Code.
    • Using third-party tools, we audit each of our job descriptions for gendered, ethnocentric, or otherwise biased language.
    • We train our hiring managers to use a structured interview process and assess for culture addition rather than culture fit.
    • We conduct a bi-annual DEI Survey to track and report who we are internally and externally.
  • Pay Equity
    • We tie compensation to role, not location, allowing Loommates to choose where they live within a country without impact to their pay.
    • We follow a standardized offer process to ensure all prospective Loommates receive consistent and transparent offers.
    • We conduct a structured compensation review twice a year to check for pay equity, and make any adjustments when necessary.
    • We ensure our equity program is accessible to all by offering early exercise and longer post-termination exercise windows.
  • Growth & Mobility
    • We conduct 360 reviews and a structured promotion process twice a year so we recognize Loommates who have grown in their roles.
    • We have an internal transfer process that allows Loommates to take on new functional roles where possible.
    • Our unconscious bias training is mandatory for managers and open to all Loommates.
    • We measure and report on engagement and inclusion metrics by different groups.
  • Community
    • Starting in June 2020, we began to donate 1% of monthly recurring revenue to organizations who make the world more equitable and inclusive. In 2020, we donated to the American Civil Liberties Union.
    • We made Loom free for educators so they could sustainably use Loom during the COVID pandemic.
    • We support accessibility in our product and marketing, including developing video transcription functionality.

Who we are

It’s not enough to make an effort — we want to make progress. The data below shapes our thinking as we work to support the teammates we have, and reach out to those we haven’t met yet. This is a mix of data we collect using U.S. government reporting standards (Equal Employment Opportunity, or EEO) as well as self-reported data we gather using anonymous surveys. We do not track self-reported data for team-level reporting in order to preserve anonymity. We plan to continue to survey Loommates and will update this page accordingly.

Age

Self-reported data from 187 responses

18-24

6%

25-34

70%

35-44

18%

45-54

6%

55-64

0%

65+

0%

I prefer not to disclose

0%

Disabilities

Self-reported data from 187 responses

Blind

0%

Chronic illness or pain

4%

Deaf or hearing-impaired

1%

Intellectual disability

0%

Neurodivergent

9%

Wheelchair users

0%

None of these apply

86%

Epileptic

1%

Education

Self-reported data from 187 responses

Employee Education

Employee Education

Less than high school or GED equivalent

0%

High school or GED equivalent

7%

2 year college degree

3%

4 year college degree

73%

Advanced degree

(MA, JD, MD, PhD, etc)

18%

Parent or Guardian Education

Parent or Guardian Education

Less than high school or GED equivalent

4%

High school or GED equivalent

14%

2 year college degree

7%

4 year college degree

34%

Advanced degree

41%

Family

Self-reported data from 187 responses

Parent/Legal Guardian

Parent/Legal Guardian

No children

73%

Partnered parent/legal guardian

26%

Single parent/legal guardian

2%

Caregiver (other than children)

Caregiver (other than children)

Yes

6%

No

78%

Does not apply

17%

Gender

The below includes a mix of EEO and self-reported data. Note: EEO/U.S. Federal Govt. reporting standards on gender only allow respondents to select "Male" or "Female." We affirm the full spectrum of gender identity and the distinction between sex and gender, so if you see different wording in the self-reported data sections, that’s why.

Gender identity

Self-reported data from 187 responses

Gender identity

Agender

0%

Bigender

0%

Genderfluid

0%

Man

47%

Non-binary

1%

Woman

52%

Transgender

Self-reported data from 187 responses

Transgender

No

100%

Yes

0%

Gender by team

EEO reported data from 187 responses

Gender by team
All teams
Female51%
Male48%
Leadership
Female69%
Male31%
Engineering
Female26%
Male73%
Non-binary1%
Product
Female50%
Male50%
Design
Female42%
Male38%
Data
Female62%
Male71%
Revenue
Female64%
Male36%
Marketing
Female71%
Male29%
Customer Support
Female73%
Male27%
People
Female100%
Male0%
Operations
Female74%
Male26%

Native Language

Self-reported data from 187 responses

Native English speaker

81%

English is not my native language

19%

Race/Ethnicity

The below includes a mix of EEO and self-reported data. Note: EEO/U.S. Federal Govt. reporting standards on race/ethnicity include fewer categories than self-reported data.

Race/ethnicity

Self-reported data from 187 responses

Race/ethnicity

African American/Black

4%

East Asian

(including Chinese, Japanese, Korean, and Mongolian)

22%

Hispanic/Latinx

4%

Middle Eastern

1%

Native American/Alaskan Native

1%

Pacific Islander

0%

Southeast Asian

(including Burmese, Cambodian, Filipino, Hmong, Indonesian, Laotian, Malaysian, Mien, Singaporean, Thai, and Vietnamese)

5%

South Asian

(including Bangladeshi, Bhutanese, Indian, Nepali, Pakistani, and Sri Lankan)

13%

White

50%

Race/ethnicity by team

EEO reported data from 187 responses

Race/ethnicity by team
All teams
White54%
Asian32%
Black or African-American5%
Hispanic/Latinx3%
Two or more races5%
Leadership
White56%
Asian28%
Black or African-American46%
Hispanic/Latinx6%
Two or more races3%
Engineering
White36%
Asian50%
Black or African-American3%
Hispanic/Latinx8%
Two or more races3%
Product
White63%
Asian25%
Black or African-American13%
Hispanic/Latinx0%
Two or more races0%
Design
White38%
Asian54%
Black or African-American0%
Hispanic/Latinx8%
Two or more races0%
Data
White21%
Asian64%
Black or African-American7%
Hispanic/Latinx0%
Two or more races0%
Revenue
White82%
Asian7%
Black or African-American4%
Hispanic/Latinx0%
Two or more races7%
Marketing
White71%
Asian14%
Black or African-American7%
Hispanic/Latinx0%
Two or more races7%
Customer Support
White73%
Asian9%
Black or African-American0%
Hispanic/Latinx0%
Two or more races18%
People
White20%
Asian50%
Black or African-American10%
Hispanic/Latinx10%
Two or more races10%
Operations
White35%
Asian39%
Black or African-American17%
Hispanic/Latinx9%
Two or more races0%

Sexual Orientation

Self-reported data from 187 responses

Asexual

2%

Bisexual

5%

Gay

4%

Heterosexual

84%

Lesbian

2%

Pansexual

1%

Queer

2%

Veteran

Self-reported data from 187 responses

No

99%

Yes

1%