Two ways to build a stronger, more diverse tech team, both drawing on years of trust and a curated pool of talented women in tech.
Both are built on years of trust and relationships and use our curated pool of talented women in tech. Not sure which option is right for you?
Book a callSeven reasons it keeps happening, grouped by where in the funnel they bite.
Women apply when they meet ~100% of requirements. Men apply at ~60%. Longer job descriptions filter out more women before they even apply.
Words like "competitive," "culture fit" or "rockstar" cut women's applications by up to 25%, and most job ads are never audited for bias.
of women face bias during the hiring process
Candidates face biased interview questions on age, race, gender, and parenthood. Repeated ghosting and vague feedback make women less likely to reapply - even when they were a strong fit.
Recruiters favour traditionally masculine, Anglo-sounding names in blind resume reviews. AI screening tools show similar bias - filtering out qualified women before a human ever sees the resume.
Applicant tracking systems filter out non-traditional backgrounds and career gaps, disproportionately penalising women for caregiving, parental leave, or time taken to upskill.
Harvard research shows women with 6 years of experience feel as confident as men with 1 year. A predictable effect of underrepresentation - and one that compounds the further up the ladder you go.
A candidate whose career was built in a context recruiters don't recognise - different sector, non-linear path, or unconventional title - gets screened out even when her skills are exactly what the role needs.