skill for career
Empathy for Doula Birth: How Important Is It?
How heavily this skill weighs in posting language, callback rates, and salary bands for this role — sourced from primary research.
ChatGPT: -40% time, +18% quality (Science, n=453)
Noy & Zhang, Science 381(6654) · 2023
26% of jobs face high GenAI transformation (Indeed, ~2,900 skills)
Indeed Hiring Lab AI at Work 2025 · 2025
2030: +170M new roles, -92M displaced, net +78M; 39% skills obsolete in 5yr (WEF 2025)
World Economic Forum Future of Jobs Report 2025 · 2025
If you have arrived here looking to evaluate how much one specific skill moves pay and callbacks for Doula Birth (Empathy), treat the body of this page as research notes rather than marketing copy. The findings are sorted by how directly they bear on the skill profile you are evaluating, not by what is most rhetorically convenient. Sources are linked inline so you can verify methodology and sample size before you act. Birth doulas provide non-clinical support during labor and delivery. DONA, CAPPA, ICEA certifications. $-, per birth typical; high-end urban doulas charge more. Mostly self-employed. Certified to also serve as postpartum or bereavement doulas. Recurring skill clusters in this role include Coaching — each one shows up in posting language often enough to bias what an AI screener weights. Current demand profile reads as mid-demand, which sets the floor for how aggressive a hiring funnel can afford to be on screening. Read Doula Birth and Empathy through cohort eyes. The same hiring pipeline produces different outcomes for older workers, non-native English writers, foreign-credentialed candidates, and neurodivergent applicants — and the AI layer often amplifies those differences rather than smoothing them. Findings below are clustered by the cohort each one most directly affects, not by the platform that reported them. Specifically on Empathy as a Doula Birth input: the skill is rarely a hard gate at junior bands but becomes heavily expected at mid and senior bands, where rubric-based interviews for Doula Birth probe Empathy depth rather than mere familiarity. Posted salary impact registers as mid-band band; effort to acquire reads as steep curve; the skill sits as specialised in the catalogue. Empathy is the skill of understanding what people actually need versus what they say they want. Critical for PM, UX, CS, sales roles — the difference between 'building features' and 'solving problems'. Develops through structured user research, user interviews, and deliberate perspective-taking. - months of consistent user interaction moves you from 'listens politely' to 'anticipates unspoken needs'. Adds k-k, especially in customer-facing roles. Unlike sympathy (feeling with them), empathy is cognitive and trainable — and measurable by quality of user insights. Adjacent skills inside this role's cluster — Mentoring Others Growth, Mentoring, Strategic Thinking — share enough overlap that they tend to appear together in posting language and in interview rubrics. The same skill recurs across 1 1 Nft Artist, 3d Artist, 3d Designer, so reading job descriptions in those neighbouring roles is a low-cost way to triangulate what employers actually expect a practitioner to do. Tracking Empathy across a Doula Birth career: tutorial-fluency carries someone to first interview, project portfolio carries them to mid-band offers, and the ability to explain Empathy to people outside the discipline carries them into staff and principal bands. Each transition has its own rubric — tutorials don't predict project success, project success doesn't predict explanatory clarity — so the same skill is screened differently at each step in a Doula Birth pipeline. Inside a Doula Birth portfolio, the skill typically pairs with Coaching — those tokens recur in posting language for the role and shape how reviewers contextualise a Empathy sample. Three findings frame the picture. First, Noy & Zhang, Science 381(6654) reports the following: ChatGPT cut professional writing-task time by 40% and raised quality by 18% in a pre-registered experiment, compressing the gap between weaker and stronger writers. Second, Indeed Hiring Lab AI at Work 2025 reports the following: Indeed Hiring Lab analysed roughly 2,900 work skills and found 41% face the highest exposure to GenAI transformation; 26% of jobs posted in the past year are likely to be 'highly' transformed. Third, World Economic Forum Future of Jobs Report 2025 reports the following: The WEF Future of Jobs Report 2025 forecasts 170 million new roles created by 2030, while 92 million are displaced by automation, for a net gain of 78 million jobs; 39% of existing role skills will be transformed or obsolete within 5 years. On the science of the assessment itself: Validated assessments combine self-report items with rubric-scored responses, producing a percentile profile against a normed reference sample. The strongest instruments report internal consistency above . and test-retest reliability above . over multi-week intervals, with construct validity established against external behavioural and outcome measures rather than self-judgment alone. Boundary conditions: regulators, employers, and researchers carve Doula Birth along different boundaries. Regulatory definitions (EEOC, ICO, EU AI Act Annex III) are protective and broad; employer taxonomies are operational and narrow; academic constructs sit somewhere between. Findings reported under one boundary translate imperfectly onto another, and we annotate translations inline. What this evidence does not prove: it does not show a stable mechanism behind every correlation, nor does it isolate dose-response thresholds for the interventions studied. Several findings rely on retrospective survey instruments, which suffer well-documented recall biases; we flagged those inline. Confidence intervals tighten as sample size grows, but external validity — whether a finding extrapolates beyond its original cohort to Doula Birth/Empathy — is bounded by the recruitment frame the original researchers used, not by our citation discipline. Surrounding evidence we did not centre but considered: trial-design innovations such as masked-blind callback measurement; disability-disclosure framing experiments; longitudinal panels following candidates from application through retention; and natural experiments triggered by jurisdiction-level policy changes (ban-the-box, salary-history bans, AI-hiring disclosure mandates). Each refines but does not invalidate the picture this page sketches around Doula Birth. The natural follow-on from this page is a five-to-fifteen-minute validated assessment, linked above. Your result page mirrors the structure of this one: cited claims, primary URLs, and an internal link graph back into the rest of the catalogue. Nothing on the result page is invented — every recommendation is derived from your own answers plus the validated catalogue. On Empathy specifically: that signal is one input among many on the result page, weighted against your own assessment scores rather than imposed top-down.
Take the matching assessment
A 5-15 minute validated instrument. Your result page surfaces the same evidence chain you see above, applied to your own profile.
Take the Skill Level assessmentPillar
Career Discovery hub
Related
All skills for this career
Drill down
Frequently asked questions
- What does the research say about ai helps for Doula Birth?
- ChatGPT cut professional writing-task time by 40% and raised quality by 18% in a pre-registered experiment, compressing the gap between weaker and stronger writers. (2023, Noy & Zhang, Science 381(6654) — https://www.science.org/doi/10.1126/science.adh2586).
- What does the research say about skill economy for Doula Birth?
- Indeed Hiring Lab analysed roughly 2,900 work skills and found 41% face the highest exposure to GenAI transformation; 26% of jobs posted in the past year are likely to be 'highly' transformed. (2025, Indeed Hiring Lab AI at Work 2025 — https://www.hiringlab.org/2025/09/23/ai-at-work-report-2025-how-genai-is-rewiring-the-dna-of-jobs/).
- What does the research say about skill economy for Doula Birth?
- The WEF Future of Jobs Report 2025 forecasts 170 million new roles created by 2030, while 92 million are displaced by automation, for a net gain of 78 million jobs; 39% of existing role skills will be transformed or obsolete within 5 years. (2025, World Economic Forum Future of Jobs Report 2025 — https://www.weforum.org/reports/the-future-of-jobs-report-2025/).
References
- Noy & Zhang, Science 381(6654) — ChatGPT: -40% time, +18% quality (Science, n=453) (2023)
- Indeed Hiring Lab AI at Work 2025 — 26% of jobs face high GenAI transformation (Indeed, ~2,900 skills) (2025)
- World Economic Forum Future of Jobs Report 2025 — 2030: +170M new roles, -92M displaced, net +78M; 39% skills obsolete in 5yr (WEF 2025) (2025)