Transforming workforce strategy and DEI for Intuit

Explore How Draup Strengthened Talent Planning and Diversity Efforts for the $18B Enterprise Software Leader

~18,200

Employees

$18.8B

Revenue

Financial Technology

Industry

Mountain View, U.S.

Headquarters

About the organization

Intuit provides business and financial management solutions for SMBs, financial institutions, consumers, and accounting professionals. With over 15,000 employees, Intuit continues to innovate in talent strategy, location planning, and diversity initiatives to stay competitive.

With the insights provided by Draup, we have been able to adjust our approach to recruitment and location selection, empowering our business leaders to make informed decisions. This has not only optimized our talent acquisition processes but also opened up opportunities for making diverse hires in locations we had not previously considered.

Jennifer Basdekis

Staff Talent Intelligence Consultant

The Core Challenges

Location Intelligence and Market Selection
To strengthen workforce planning with location intelligence and actionable insights, identify optimal markets and talent pools.
Competitive Talent Intelligence
To gain deeper competitive intelligence, supporting data-driven decisions in hiring, retention, and skill development strategies.
Inclusive DE&I Measurement
To enhance DE&I measurement and reporting, enabling inclusive workforce planning and informed talent decisions.

The Solution

Blockchain Engineer
PROFILE
LOCATION ANALYSIS
TALENT MARKET INSIGHTS
CAREER PATHS
DATA INTEGRATION
TECH STACK
The image is for representational purpose only.
01
Location Intelligence
Analyzed 30+ countries to assess talent availability, cost of living, and market saturation for expansion decisions.
02
Competitive Insights
Mapped talent trends and competitor movements, enabling informed strategic actions.
03
DE&I Metrics
Provided gender and ethnic diversity insights across regions to guide hiring strategy and support inclusive workforce planning.
04
Execution Speed
Delivered actionable insights rapidly, reducing research time and accelerating workforce decisions across global teams.

Outcome

Strategic Expansion

Leveraged Draup’s location intelligence to enter new talent markets, aligning with business goals for sustainable growth.

DE&I Improvements

Used Draup’s diversity metrics to guide inclusive hiring, increasing representation across executive and organizational levels.

Future-Ready Workforce

Strengthened workforce planning with actionable insights on skills, roles, and global talent pools for better decision-making.

Leadership Signal Tracking

Enabled scalable strategies for growth, diversity, and talent optimization, supporting long-term workforce readiness.
6,100+​
Locations
4M+​
Career Paths​
1.7M+​
Peer Group Companies​
28K+
Skills
3,500+​
Roles
1B+​
Professionals​
55K+​
Universities​
1B+​
Job Descriptions​
200K+​
Courses​
180K+​
Technology Solutions​
900K+​
Account Priorities​
Labor Market Data Contextualized with Business Intelligence for Every Decision

Analyzing 1B+ data points
daily from 100K+ sources

6,100+​
Locations
4M+​
Career Paths​
1.7M+​
Peer Group Companies​
28K+
Skills
3,500+​
Roles
1B+​
Professionals​
55K+​
Universities​
1B+​
Job Descriptions​
200K+​
Courses​
180K+​
Technology Solutions​
900K+​
Account Priorities​
AICPA SOC2 TYPE 2
SOC 2
GDPR Logo
GDPR
ISO 27001 Logo
ISO
EAIGG Logo
EAIGG

Ethical AI, Backed by Global Standards

Draup, an AI-first company, upholds global standards like SOC 2, GDPR, and ISO 27001. As an EAIGG member, we audit for bias and build trustworthy AI.

Data Trust &
Methodology
at Draup

Draup uses a structured methodology to reduce inaccuracies and prevent misleading information, with a focus on transparency and responsible data practices.

Data Transparency and Coverage

Draup sources data from diverse, vetted global inputs including public datasets, labor information, professional ecosystems, and industry research. Coverage varies by region and role, and we supplement limited areas with alternative sources and analyst-led modeling.

Profiles Behind the Numbers

All aggregate insights related to buyers, roles, skills, and locations are grounded in structured, anonymized human and organizational profiles rather than pure extrapolation. This ensures context, reliability, and protection of personal identities.

Data Hygiene and Integrity

We maintain a clean, accurate data environment by removing duplicates, outdated entities, and invalid records. Automated checks powered by ML models and analyst reviews work together to ensure clarity and accuracy for every entity, such as buyer, role, skill, technology, or company.

AI Governance and Bias Mitigation

Our governance framework combines automated evaluations with Human-in-the-Loop reviews. We use statistical checks, audits, and cross-source comparisons to reduce demographic and structural bias before insights reach the platform.

Compensation Guardrails

Compensation insights use blended, directional inputs such as aggregated ranges, benchmarks, modeled distributions, and market signals. We distinguish clearly between modeled and reported data and apply guardrails to prevent over-interpretation.

Hourly and Frontline Workforce Coverage

For hourly, frontline, and blue-collar roles where digital visibility is limited, we incorporate government datasets, localized labor information, and specialized partners to build a more complete and balanced view of workforce supply and demand.

Draup Logo
Ⓒ 2026 Draup. All Rights Reserved.
SitemapLlms.txt