How can we help?
Find answers about our scientific approach to employee feedback
Getting Started
Learn about partnering with Acclimeight and our onboarding process
Scientific Methodology
Our research-backed approach to employee feedback
Surveys & Feedback
Understanding our survey process and employee engagement
Analytics & Insights
Making the most of your feedback data and reports
Frequently Asked Questions.
How does the onboarding process work?
Our team works directly with you to understand your organization's structure, collect necessary employee data, and set up your initial surveys. We handle all the technical setup while you focus on your strategic goals.
What makes Acclimeight different from other survey platforms?
Acclimeight combines PhD-level expertise in AI and psychometrics with advanced technology. Our team of researchers and practitioners ensures scientifically valid methodologies while our AI provides deep insights. This unique blend of human expertise and artificial intelligence delivers more reliable and actionable results.
What information do you need to get started?
We typically need your organizational structure, employee records (including departments and reporting lines), and any specific areas of focus for your feedback program. Our team guides you through providing this information securely.
How long does implementation take?
Most organizations can start receiving insights within 1-2 weeks. This includes our team setting up your customized surveys, configuring analytics, and ensuring everything is optimized for your specific needs.
How do you ensure employee data privacy?
We implement enterprise-grade security measures and strict anonymization protocols. Your dedicated success manager will explain our comprehensive data protection practices during onboarding.
What ongoing support do you provide?
You'll have a dedicated success manager who handles survey administration, helps interpret results, and provides regular check-ins to ensure you're getting maximum value from our platform.
How often are surveys conducted?
We typically recommend pulse surveys every 6 months, but your success manager will work with you to determine the optimal frequency based on your organization's needs and culture.
How does the survey process work?
Our team handles all aspects of survey administration. We use AI to generate relevant questions, manage distribution, send reminders, and ensure high participation rates while maintaining anonymity.
Can surveys be customized for different departments?
Yes, we create targeted surveys based on your organizational structure while maintaining consistent core metrics. Your success manager will help determine the right balance of general and department-specific questions.
How do employees access the surveys?
Employees receive secure, personalized links via email. No accounts or passwords are needed, making participation simple while ensuring data security.
What makes your surveys more effective than traditional ones?
Our AI technology adapts questions based on previous responses and organizational context, while our managed service ensures high participation rates and meaningful insights.
How are survey results shared?
Your success manager provides regular insight reports and conducts review sessions to help interpret the data. We highlight key trends, emerging patterns, and specific areas requiring attention.
What kinds of insights can we expect?
Our AI analyzes multiple data points to identify engagement trends, sentiment patterns, and potential areas of concern. We provide actionable recommendations based on these insights.
How do you maintain anonymity in reporting?
We implement minimum response thresholds and aggregate data to ensure individual responses cannot be identified. Your success manager will explain our anonymity protocols in detail.
How often are reports provided?
You receive regular insight reports aligned with your survey frequency. Your success manager also provides quarterly trend analysis and annual comprehensive reviews.
Can you benchmark our results?
Yes, we provide industry and size-based benchmarks while maintaining organization anonymity. Your success manager helps interpret these comparisons in the context of your specific goals.
What makes Acclimeight's approach scientifically rigorous?
Our team includes PhDs in AI and Psychometrics who design our survey methodology. We combine proven psychometric principles with advanced AI to ensure reliable, valid, and actionable insights.
How does your AI enhance survey quality?
Our AI models, developed by our team of AI researchers and psychometricians, evaluate question effectiveness, reduce response bias, and identify patterns that might be missed by traditional analysis. This ensures both statistical validity and practical usefulness of results.
How do you validate your survey methods?
Our methodology is continuously validated through rigorous research and peer review. We conduct regular validity studies, and our approach is grounded in established organizational psychology principles while leveraging cutting-edge AI technology.
Who designs your survey questions?
Our questions are crafted by a team of PhDs in Psychometrics, then optimized by our AI systems. This ensures questions are not only scientifically sound but also culturally relevant and engaging.
How do you ensure statistical significance in results?
Our team of data scientists and psychometricians implement robust statistical methods to ensure reliable results. We use advanced sampling techniques and clearly communicate confidence levels in our analysis.
What research backs your methodology?
Our approach is based on decades of research in organizational psychology, combined with cutting-edge AI research. Our team regularly publishes research on employee feedback methodologies and AI applications in organizational assessment.
How do you address potential biases in surveys?
Our AI systems, developed by our research team, actively detect and correct for various types of response biases. We employ sophisticated psychometric techniques to ensure survey results accurately reflect employee sentiment.