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An update on team demographics: 2021

Graphic image of many overlaid human heads in different colours

Data on the demographic makeup of our team, leadership and board, measured in late 2021 as part of our focus on increasing diversity and creating a more inclusive workplace.

In July 2020 we published data relating to four demographic characteristics of members of our team, senior management (SMT) and board. At that point we committed to updating and reporting on that data annually, and this blog presents the results of a survey undertaken in late 2021. We've taken the time necessary to fully explore how we might improve both the quality of the data we’re collecting and the experience of team members who are asked to share personal information as part of the survey process. In a parallel blog, ‘Measurement and Inclusion’, I outline the questions we asked ourselves, the decisions we made, and the learnings we took from the process.

Our journey in this area is ongoing, and we’re happy to engage with questions, ideas or conversation. Please reach out to me on consultation@spektrix.com, or read my blog, ‘Measurement and Inclusion’, to discover more about our journey and decision making.

The language we use to describe demographic characteristics follows decisions taken in the development of the Spektrix Language and Identity guide in 2020. You can find a summary of our approach here, or you’re welcome to reach out to us to find out more.

 

Methodology and Engagement

We distributed an online survey to all Spektrix team and board members in late 2021. While most questions allowed for self description, there were a number of questions which specifically asked for free text responses where we felt this was needed to help reflect the true diversity of the team. To understand more about the approach we took to each question and the reason for our chosen methodology in each case, read ‘Measurement and Inclusion’.

Data are separated into three categories: our board, SMT, and wider staff team. SMT members are also included in the wider staff category. Spektrix CEO and co-founder Michael Nabarro is included in figures for both the board and SMT, and therefore appears in all three groups.

Across the company, 90% of staff members responded to the survey, an increase from 82% in July 2020. 100% of SMT and board members took part. All figures are given as percentages.

 

What best describes the occupation of your main household earner when you were aged about 14?
This question looks at the socio-economic background of team members (i.e. how privileged/affluent a background people have come from). There is no perfect way to measure socio-economic background, however we have taken the approach recommended by the UK’s Social Mobility Commission. Respondents selected one of seven categories, which have been aligned to three economic background levels in this data in line with Social Mobility Commission guidance.
A free text field was not offered for this question.

Key Aggregated response Team SMT Board

Lower socio-economic backgrounds

12.7 14.3  

Intermediate backgrounds

11.8 42.9 20

Professional backgrounds

75.5 42.9 80

 

100% bar graphs illustrating data on socio-economic background, which are included in the chart above

 

What is your age?

A free text field was not offered for this question.

Key Response Team SMT Board

18-24

6    

25-34

60.7 28.6  

35-44

27.4 28.6 60

45-54

5.1 42.9 20

55-64

0.9   20

 

What is your age? Spektrix team 2021

 

What nationality(ies) are you?
Spektrix offices are based in the UK and US, so we offered two specific options - American and British - as well as ‘Nationality(ies) not listed’ and ‘Prefer not to say’.

20.5% of the wider team listed an additional or different nationality. These were:

Austrian     Australian     Brazilian    Canadian     Dutch    French     German     Greek     Italian     Indian    Irish     Nigerian     Portuguese     Swiss     Taiwanese

 

Which language(s) do you speak at home?
Spektrix offices are based in the UK and US, so we offered English as an option as well as ‘Language(s) not listed’ and ‘Prefer not to say’.

15.4% of the wider team listed an additional or different language. These were:

Cantonese     Cypriot Greek     French     German    Greek     Hindi     Italian     Mandarin     Ndebele     Norwegian     Portuguese    Spanish     Swati     Welsh     Xhosa     Zulu

 

Which of the following categories best describes your race and/or ethnicity?
The options presented for this question were based on a combination of census categories from the UK and US.
A free text field was also offered. We expand on some of these responses, and how they’ll inform our methodology for 2022, in the accompanying ‘Measurement and Inclusion’ blog.

Key Response Team SMT Board

Black (including Black British, Black American, African-American, Africa, Caribbean or any other Black background)

4.3   14.3  

East Asian (including Chinese, Japanese, Korean, Mongolian, Tibetan and Taiwanese)

 2.6    

Latin(o,a,x,e) or Hispanic

 3.4  14.3  

Mixed Race

 1.7    

Prefer not to say

 0.9    

Self identified and not listed elsewhere
(115 individuals self-identified, however, in all cases but four, these descriptions were represented in the text of one of the predetermined categories and counted there. The four exceptions were individuals who self-identified as Jewish. More about our approach to self-identification can be found here.)

3.4 28.6 20

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

2.6   20

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

1.7    

White (including White British, White American, White European, English, Welsh, Scottish, Irish, Polish or any other White background)

79.5 42.9 60

 

100% bar graphs illustrating data on race and-or ethnicity, which are included in the chart above

 

Members of the wider team provided a total of 38 different free text responses. These were:

Asian     Asian-Southeast Asian-Filipino    Asian-Taiwanese     Asian-American     Black African British     Black American     Black British of Caribbean descent     British     British South Asian     Caucasian     Caucasian-Sicilian-Irish     Chinese     Chinese-American     Hispanic     Hispanic-Puerto Rican     Hispanic/Latino     Indian     Jewish     Mixed race     Native African     North European     South Asian     White     White-Irish & Polish     White-Non-Hispanic/Latinx     White/Mediterranean     White American     White American & Hispanic     White & Hispanic/Latinx     White British     White Eastern European Ashkenazi Jewish     White English     White European     White Hispanic     White Irish     White of Jewish heritage     White-Eastern European-Jewish     White-Welsh     

 

Which of the following categories best describes your gender?
The options offered were Agender, Female, Male and Non-Binary, although nobody selected Agender on this occasion. A free text field was also offered.
This and the next two questions follow guidance produced by UK charity Stonewall.

Key Response Team SMT Board

Female

51.3 28.6 20

Male

43.6 71.4 80

Non-binary

4.3    

Prefer not to say

0.9    

 

100% bar graphs illustrating data on gender, which are included in the chart abov

 

Are you transgender?

Key Response Team SMT Board

No

97.4 100 100

Yes

2.6    

 

100% bar graphs illustrating data on transgender identity, which are included in the chart abov

 

What is your sexual orientation?

Key Response Team SMT Board

Bi / Pansexual

15.4    

Gay / Lesbian

12 14.3  

Heterosexual / Straight

62.4 85.7 100

Prefer not to say

5.1    

Prefer to self describe

1.7    

Queer

3.4    

 

100% bar graphs illustrating data on sexual orientation, which are included in the chart above

 

Do you consider yourself to be disabled?

Key Response Team SMT Board

No

88.9 100 100

Prefer not to say

2.6    

Prefer to self describe

2.6    

Yes

6    

 

Do you consider yourself to be disabled? Spektrix 2021

 

Do you consider yourself to be neurodivergent?

Key Response Team SMT Board

No

78.6 85.7 100

Prefer not to say

5.1 14.3  

Prefer to self describe

5.1    

Yes

11.1    

 

100% bar graphs illustrating data on neurodivergence, which are included in the chart above

 

Do you look after or care for someone with long term physical or mental ill health (not in a paid capacity)?

Key Response Team SMT Board

No

90.6 57.1 100

Prefer not to say

0.9    

Prefer to self describe

0.9    

Yes

7.7 42.9  

 

100% bar graphs illustrating data on caring responsibilities, which are included in the chart above

 

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