See the forest and the trees
Dataforest is a growing, living, expanding resource that helps businesses identify best practices, measure how their people programs stack up, identify gaps in their employee experience, and ultimately shape their total people investment strategy.
As an extension and reimagining of Sequoia’s annual Employee Experience Benchmarking Report and Pulse Surveys, Dataforest is an interactive experience that equally exposes big-picture trends and deep-diving details to bring rich people insights to the surface.
Stewardship
We rely on our invested community of clients and forward-thinking business leaders to contribute their company data and bring continuous energy to this proliferating resource. Through survey participation, our community helps ensure that Dataforest remains timely, relevant, and on the leading edge of trends in total rewards management and overall people investment strategies.
Data Sources & Methodology
Frequently Asked Questions
Dataforest was designed to share total people investment insights and workplace trends with business leaders and information seekers everywhere.
How is the data collected?
Dataforest insights and reports represent data collected from Sequoia’s Employee Experience Surveys (2017 – 2021), anonymized information and trends from our database, and Dataforest surveys. Dataforest is refreshed periodically with updates from new survey submissions.
How often is the data refreshed?
The Dataforest has two types of insights and reports:
Evergreen Reports
These reports are refreshed on a quarterly basis with data collected from our always-on surveys and the Sequoia database. Our evergreen reports include Compensation, Healthcare, Retirement, Wellbeing, Global, and DEI.
Pulse Reports
These reports are time bound with defined data-collection periods to get the pulse on timely topics. The data-collection period for each pulse report is covered in a Methodology section at the bottom of the report page.
How many companies participate in your surveys?
Dataforest surveys maintain a minimum participation standard of two hundred companies but can often grow to include thousands of companies.
What size are the companies listed as Small, Medium, and Large?
- Small: 1-100 employees
- Medium: 101-500 employees
- Large: 500+ employees
Why do some visualizations show a gap in year-over-year comparisons?
Who is the team behind Dataforest?
Sequoia has a rich history of using benchmarking to help companies make a wide range of decisions that impact their people strategies. As the next generation of our annual Employee Experience Benchmarking Report, Dataforest represents the future of the benchmarking program at Sequoia.
Thank you to the many teams at Sequoia for bringing Dataforest to life:
- Total Rewards Advisory
- Industry Consultants & Experts
- Market Analysts
- BI & Analytics
- Benchmarking Program Management
- Brand Experience
Can I partner with Sequoia to produce surveys and reports?
Copyright, Usage Guidelines & Disclaimer
By visiting dataforest.sequoia.com (“Dataforest”), you hereby agree to the Dataforest terms of service, found at dataforest.sequoia.com/terms and as follows: Sequoia Benefits and Insurance Services, LLC (”Sequoia”) is the exclusive copyright owner of all content and data on Dataforest. This content and data may not be reproduced, stored in a retrieval system or transmitted in whole or in part, in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, without citing “Dataforest by Sequoia” as the source. The information on Dataforest does not constitute legal or tax advice and must not be relied upon as an alternative to legal, financial, or tax advice from an appropriately qualified professional. Any specific questions about any legal, financial or tax matter should be directed to an appropriately qualified professional. Sequoia does not represent, warrant or guarantee the accuracy of any information contained in this site or that the use of information from Dataforest will lead to any particular outcome or result. Sequoia will not accept responsibility for any errors or omissions or any liability resulting from the use or misuse of any such information.