A few solutions we’re great at
Work-Life Balance
Our System…Unlocks Insights
- Distributes surveys and self-assessment forms to users to collect data on their work-life balance satisfaction.
- Collects data on absenteeism, turnover rates, and productivity levels to gain insights into potential work-life balance issues.
- Analyzes text data from surveys and chat logs to determine sentiments.
- Analyzes correlations between work-life satisfaction and other metrics such as performance, absenteeism, and turnover rates.
- Identifies users at risk of poor work-life balance.
Our System…Guides Decisions
- Identifies patterns and trends in work-life balance satisfaction levels.
- Identifies factors affecting work-life balance satisfaction.
Our System…Automates Results
- Automates systems to regularly distribute work-life balance surveys and collect feedback.
- Triggers personalized interventions.
- Automates workflow processes to reduce workload and improve efficiency.
- Automates policies for flexible working hours and remote work.
Target Markets & Customer Discovery
BUYER: Corporate Workplace
Problem: Customer Churn
- Revenue Loss
- Market Perception
- Customer Acquisition Costs
- Lifetime Value
- Feedback Loop
Case Studies
Netflix: Uses AI to recommend content based on viewing history, significantly improving user engagement and retention.
Amazon: Employs AI for personalized product recommendations and dynamic pricing to keep customers engaged and coming back.
Spotify: Leverages AI to create personalized playlists and recommend music, enhancing user experience and reducing churn.
END USER: Customer
How We Accelerate Mitigating
Predictive Analytics – Assessdo analyzes historical relationship data to identify patterns and signals. Assessdo segments customers based on various attributes and behaviors, enabling personalized retention strategies for different groups.
Sentiment Analysis – Assessdo can analyze customer interactions and feedback (e.g., reviews, social media posts) to gauge sentiment and identify dissatisfied customers early on. Assessdo analyzes communication patterns and detects signs of disengagement or frustration, allowing customers to address issues promptly.
Customer Insights – Assessdo can track and analyze customer interactions across multiple touchpoints to provide a comprehensive view of customer behavior, helping companies understand their needs and preferences.
BUYER: Corporate Workplace
Problem: Employee Churn
- Operational Disruption
- Recruitment and Training
- Company Culture
- Client Relationships
Case Studies
IBM: Uses AI to predict which employees are likely to quit and why, allowing managers to take proactive steps to retain them. The system reportedly has a 95% accuracy rate in predicting turnover.
Workday: Offers AI-driven insights into employee engagement and performance, helping companies to understand and address factors that contribute to employee retention.
Google: Employs AI to analyze employee survey data and predict employee turnover, enabling the company to implement changes that improve retention rates.
END USER: Employee
How We Accelerate Mitigating
Predictive Analytics – Assessdo can analyze historical employee data to identify patterns and factors that predict turnover.
Sentiment Analysis – Assessdo can process textual data from employee feedback, surveys, emails, and social media to gauge overall sentiment and identify underlying issues that may lead to dissatisfaction.
Employee Engagement – Assessdo can tailor communication based on employee preferences and behaviors, making interactions more relevant and engaging.
Well-Being Tracking – Assessdo can monitor indicators of employee well-being, such as workload, overtime, and stress levels, alerting managers to potential burnout risks.
BUYER: School / School Improvement Org.
Problem: Student Churn
- Academic Achievement
- Economic Prospects (Drop Outs)
- Social Consequences (Violence)
Case Studies
Montgomery County Public Schools: Uses predictive analytics to identify at-risk students and provide targeted interventions, leading to improved retention rates.
New York City Department of Education: Employs AI-driven data analysis to monitor student progress and implement early interventions, reducing dropout rates.
END USER: Student
How We Accelerate Mitigating
Predictive Analytics – Assessdo analyzes historical relationship data to identify patterns and signals between students. Assessdo can segment students based on various attributes and behaviors, enabling personalized retention strategies for different groups.
Sentiment Analysis – Assessdo can analyze student interactions and feedback (e.g., reviews, social media posts).
Customer Insights – Assessdo can track and analyze student interactions across multiple touchpoints to provide a comprehensive view of student behavior, helping teachers understand their needs and preferences.
BUYER: School / School Improvement Org.
Problem: Teacher Churn
- Workload and Stress
- School Environment
Case Studies
Gwinnett County Public Schools: Uses predictive analytics to identify teachers at risk of leaving and provide targeted support, resulting in improved retention rates.
San Francisco Unified School District: Employs AI to analyze data on teacher satisfaction and engagement, informing strategies to reduce turnover.
END USER: Teacher
How We Accelerate Mitigating
Predictive Analytics – Assessdo can analyze various data points (e.g., teacher attendance, performance evaluations, engagement levels, perceptions) to predict which teachers are at risk of leaving,
Automate Administrative Tasks- Assessdo can automate routine administrative tasks, reducing teachers’ workloads and allowing them to focus more on teaching.
Enhanced Teacher Engagement – Assessdo tools can facilitate continuous feedback and open communication between teachers and administrators, helping to address concerns promptly.
Data-Driven Decision Making – Assessdo can provide administrators with insights into patterns and trends related to teacher turnover, helping them to develop and implement effective retention strategies.
BUYER: Law Enforcement
Problem: Officer Churn
- Work Stress and Burnout
- Work-Life Benefits
- Organizational Culture
- Job Risks and Dangers
Case Studies
Chicago Police Department: Uses predictive analytics to identify officers at risk of leaving and provide targeted support, leading to improved retention rates.
Los Angeles Police Department: Employs AI to analyze data on officer satisfaction and engagement, informing strategies to reduce turnover and improve workplace conditions.
END USER: Officers
How We Accelerate Mitigating
Predictive Analytics – Assessdo can analyze perception data such as officers & supervisors situational perspectives of officer performance and engagement. Assessdo can quantify feedback to predict which officers are at risk of leaving, or working in uncomfortable communities allowing for proactive interventions.
Enhanced Officer Engagement – Assessdo tools can analyze continuous feedback and open communication between officers and leadership, helping to address concerns promptly.
Data-Driven Decision Making – Assessdo can provide leadership with insights into patterns and trends related to officer perceptions, helping to develop and implement effective retention strategies.
Features
LoGICBOT AI AGENT
LogicBot AI Agent allows an organization to combine different sources of knowledge including documents, policies, and data sets into its LLM.
pERCEPTX
PerceptX examines negative risk and positive adaptive behaviors to comprehend situations or issues within specific contexts and environments.
intelligent discovery engine
Enhance search capabilities to find organization content, peer content, community content based on shared interests, relationships, behaviors, or other criteria.
EchoSphere
EchoSphere is a digital social environment designed to understand, interpret, and interact through social texts, events, polls, and other unique features.
Voice assist & chat
Incorporates voice recognition technology to accurately interpret and respond to spoken queries.
Data reporting
Reports behaviors and relationships between individuals and groups
Change Management System
Assessdo does not stop by providing incredible insights quickly. Our technology takes the next action step in data analysis.
Adaptive Behavior
Appreciation Email
Send a personalized thank-you email expressing appreciation for the end users hard work, dedication, and outstanding performance.
Feedback Loop
Provides feedback as soon as possible after action or outcome occurs, reinforcing the connection between the action and the reward.
Spotlight
Feature the person on the website, or social media channels to showcase their achievements and highlight their contributions.
Team Celebration Alert
Become alerted to the team that performs at exceptional levels and organize a team event to celebrate the teams achievements.
Verbal Acknowledgement Notification
Become notified to personally congratulate the person via a video call, highlighting their specific achievements they’ve made in the organization.
Workplace Flexibility (Auto Scheduler)
Grants flexibility schedule or remote work option to show appreciation for the persons contributions helping them have better work-life balance.
Risk Analysis
Email Follow-Up
Guided Resources
Pairs the end user with a mentor who can provide support, guidance, and feedback to help them continue to excel in their role.
Well-Being Check-In
Analyze communication patterns and detect signs of disengagement or stress. Suggest manager or peers check ins.