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Elevate your Information Services team with quality custom training content.
Training and Development Manager, New York, NY
eLearning Solutions Company is fantastic! Their products are innovative, user-friendly, and do an excellent job presenting the training content. I'm so grateful for their help, we were able to reach our training targets and stay on track with the business goal. I would gladly recommend this team to anyone looking for an effective online learning curriculum.
Senior Learning Evangelist, Tallahassee, FL
This company develops superior custom learning courses. Their comprehensive approach to content processing and engaging delivery greatly simplified complex topics for my internal learners. They offer quality courses that are well-suited to self-paced learning. The courses we received are an invaluable educational resource for us.
Senior Traning Manager, Richmond, VA
The ELS team is incredible, very talented, and very skilled! They've transformed the boring courses we've been using until now into content that is fun, engaging, and interactive. Every slide is meticulously designed and serves a purpose. I absolutely recommend ELS as my #1 contractor for anything learning-related.
VP of People Operations, New York, NY
The eLearning Solutions Company has revolutionized learning for our team with their innovative AI chatbots. We now have interactive and engaging modules that have improved our learning completion metrics as well as knowledge retention. AI was an excellent and forward-thinking approach! I highly recommend this company.
Program Manager, San Francisco, CA
eLearning Solutions Company has exceeded my expectations. Their interactive modules are brilliantly designed, informative, engaging, and incredibly intuitive. The support and communication I received throughout the project were fantastic as well. I will certainly trust this team with my future learning and development needs.
Head of Human Capital, Hoboken, NJ
This company is fantastic! We had a very tight deadline, and I'm glad that we selected the right contractor to outsource our learning needs. I highly recommend them to anyone looking for a reliable external learning development partner.
Chief Learning Officer, Las Vegas, NV
eLearning Solutions Company offered an exceptional development process, truly transforming our training modules. Their innovative solutions, professionalism, and project management are incomparable. They are a valuable resource for any company's elearning needs.
Lead Learning Designer, Sacramento, CA
The eLearning Solutions Company profoundly enhanced our elearning capabilities. Their tailored solutions and exceptional support services are second to none. The new courses are truly a game-changer for our training program. Highly recommended!
Managing Director, New York, NY
eLearning Company is phenomenal! The training materials they created for us are clear, engaging, and easy to follow. Our team's skills and knowledge improved significantly. I highly recommend this company for enriching professional development.
Head of People, Boston, MA
I can honestly say that your team has delivered beyond my expectations. Every single one of the elearning modules is top-notch, engaging, and well-thought-through. The interactive content has truly helped us deliver the message and make sure it sticks. I would highly recommend your approach and the innovative learning solutions you deliver!
HR Manager, Chicago, IL
My experience with eLearning Solutions Company has been exceptional. They provided a stellar development service with utmost professionalism and efficiency. Their user-friendly designs and innovative learning strategies surpassed my expectations! They are true leaders in the elearning industry.
for the Information Services industry
Microlearning Modules
Bite-sized lessons that deliver focused knowledge quickly and efficiently.
Example:
A five‑minute microlearning module for content taggers explains how to apply controlled vocabulary and disambiguation rules using masked screenshots. Learners complete a four‑question image‑based quiz at the end, and the module tracks tagging accuracy and the need for rework during reviews.
Engaging Scenarios
Interactive stories that let learners practice decision-making in realistic contexts.
Example:
An eight‑minute scenario for editors and researchers simulates the process of deciding whether to hold, publish, or correct a breaking news update. Learners see how their choices affect service‑level agreement compliance, reputation risk, and client notifications and receive a correction template at the end.
Tests and Assessments
Quizzes and evaluations that measure understanding and track progress.
Example:
A ten‑minute assessment for analysts and editors asks them to select correct citations, fair‑use excerpts, and appropriate links using images and text snippets. Each test randomizes the items, and immediate explanations reference the organization’s style guide.
Personalized Learning Paths
Customized content sequences tailored to each learner’s goals and needs.
Example:
Personalized learning paths are available for editorial staff, researchers, data operations teams, customer enablement specialists, and licensing coordinators. Each path combines micro‑lessons on standard operating procedures, two task‑shadowing experiences, and a sign‑off checklist. Learners unlock subsequent modules based on quiz results and reviewer feedback.
Performance Support Chatbots
On-demand digital assistants that provide just-in-time answers and guidance.
Example:
An in‑chat assistant integrated with collaboration tools and the content management system provides quick lookups for style rules, taxonomy terms, API rate limits, pricing snippets, and rights flags. It returns source‑linked information without offering legal advice.
Online Role-Plays
Simulated conversations or interactions that help learners build real-world skills.
Example:
An online role‑play for customer enablement and customer success teams allows them to practice giving platform demonstrations and handling client objections. Participants interact with a responsive avatar and receive time‑stamped coaching to refine their second attempt.
Compliance Training
Structured programs that ensure employees meet regulatory and organizational standards.
Example:
A 12‑minute compliance module addresses copyright, fair use, and data privacy requirements. It uses practical vignettes and masked examples to illustrate appropriate actions, and participants electronically sign an attestation that is stored for audit purposes.
Situational Simulations
Immersive activities that replicate real-life challenges in a risk-free environment.
Example:
A nine‑minute simulation for data operations teams presents time‑limited decisions on failover procedures, client communication, and data backfill during a feed outage. The simulation illustrates the impact on service‑level agreement breaches and backlog and generates an incident summary.
Upskilling Modules
Targeted courses designed to expand knowledge and build new competencies.
Example:
A 15‑minute module helps researchers learn how to pull datasets using SQL queries and APIs safely. It includes hands‑on examples and provides a downloadable collection of sample queries.
Problem-Solving Activities
Exercises that strengthen critical thinking and practical problem-solving skills.
Example:
In this team exercise, analysts work together to reconcile conflicting data sources using a root‑cause analysis template and propose a solution and prevention plan.
Collaborative Experiences
Group learning opportunities that encourage teamwork and knowledge sharing.
Example:
During a 45‑minute sprint, editorial, data operations, and legal teams review content release checklists on a shared board. The group produces a go/no‑go checklist and a communication plan.
Games & Gamified Experiences
Play-based learning methods that motivate through competition, rewards, and fun.
Example:
A three‑minute daily game challenges editors to spot errors in short content snippets under a time limit. A leaderboard resets weekly to foster friendly competition.
1
Skill Growth
Custom training builds real-world competencies step by step, giving learners the confidence and ability to perform effectively.
2
Employee Engagement
As learners see their skills improving, they become more invested and motivated, deepening participation in the training process.
3
Organizational Readiness
This combination of stronger skills and higher engagement ensures the workforce is prepared, compliant, and aligned with organizational goals.
in the Information Services Industry
40%
Less Time Spent on Training
Online learning requires less than half of the time that would be needed for in-person training.
70%
Efficient Experience-Based Learning
Up to 70% of adult learning occurs through hands-on experiences. Online task simulators allow practicing and making mistakes in safe environments.
94%
Higher Learner Satisfaction
94% of adult learners prefer to study at their own pace and on their own schedule.
in Information Services
AI-Powered Chatbots and Virtual Coaching
These are conversational agents (often built on advanced language models) that can interact with employees in natural language – answering questions, providing feedback, and even coaching in a human-like manner. L&D decision-makers are increasingly adopting these tools to offer on-demand assistance and personalized guidance.
24/7 Learning Assistants
AI chatbots serve as always-available tutors or helpdesk agents for learners. Employees can ask a training chatbot to clarify a concept, provide an example, or troubleshoot a problem at any time. Many companies have integrated such bots into their learning platforms or collaboration apps. According to industry research, virtual assistants and chatbots are now being deployed to handle routine learner queries and provide instant feedback on quizzes or exercises. This immediate support keeps learners from getting stuck and enables more self-directed learning. It also reduces the burden on human instructors or IT support for common questions.
Example:
A chat‑based assistant answers questions about taxonomy, citation, API usage, and licensing. It provides concise responses with links to official guidelines and does not offer legal advice.
Feedback and Coaching
Beyond Q&A, AI coaches can give real-time feedback on performance. Modern AI tutors use natural language understanding to evaluate free-form responses and deliver personalized coaching, just like a digital mentor. L&D leaders find these applications instrumental in achieving training goals; surveys show high ROI of using AI chatbots to offer real-time feedback and guidance during learning.
Example:
Users can upload an explainer paragraph or demo script. The AI suggests clearer phrasing and improved structure, with edits tracked and time‑stamped for review.
Scenario Practice and Role-Play
A cutting-edge use case of AI chatbots is powering immersive role-play simulations. AI characters can simulate realistic dialogues with learners. Users can practice a coaching conversation with an AI-driven avatar that responds dynamically. Many organizations have already implemented this type of learning interaction, enabling learners to practice difficult conversations in a safe, simulated environment and receive instant constructive feedback. The AI can adapt its responses based on what the learner says, creating a tailored scenario and coaching the learner on their choices. This moves training beyond scripted e-learning into interactive learning-by-doing.
Example:
An AI‑powered sandbox simulates customer calls about service outages or data questions using reactive avatars. After the session, coaching compares the learner’s responses to communication guidelines.
coaching can help you improve training outcomes.
Automated Assessments and Intelligent Feedback
AI is transforming how companies assess learning and evaluate competencies. Traditional training assessments (quizzes, tests, assignments, etc.) can be labor-intensive to create and grade, and they often provide limited feedback to learners. AI is changing this by enabling more automated, intelligent assessment methods.
Auto-Generated Quizzes and Exams
Using generative AI, L&D teams can automatically create pools of quiz questions, knowledge checks, or even complex case-study exams. Given a training document or video, an AI tool can generate relevant questions to test comprehension. This not only speeds up assessment development but can also produce a wider variety of test items (reducing over-reliance on a few repeat questions). By automating quiz generation, trainers ensure assessments are always fresh and stay aligned with up-to-date content and learning goals.
Example:
An AI tool converts updated style or API documentation into eight to twelve questions in various formats, such as image identification, sequences, or scenarios. Subject matter experts approve the questions before they are assigned.
Automated Grading and Evaluation
Your AI-powered training tool can grade many types of learner responses automatically, far beyond simple multiple-choice scoring. Natural language processing models are capable of evaluating open-ended text responses, short essays, or even code snippets by comparing against expected answers or rubrics. This is particularly useful for large companies that need to assess thousands of learners efficiently and do it in a way that offers personalized feedback and recommendations.
Example:
An AI evaluation tool scores sample tagging sets based on coverage, specificity, and consistency and summarizes trends by editor.
AI-Assisted Feedback and Coaching
Beyond Q&A, AI coaches can give real-time feedback on performance. Modern AI tutors use natural language understanding to evaluate free-form responses and deliver personalized coaching, just like a digital mentor. L&D leaders find these applications instrumental in achieving training goals; surveys show high ROI of using AI chatbots to offer real-time feedback and guidance during learning.
Example:
An AI system analyzes recorded product demonstrations to flag jargon and pacing issues and provides time‑stamped links to examples of best practice.
Fairness and Consistency
AI-based assessment can also improve consistency in scoring and reduce human bias in evaluations. Every learner is judged by the same criteria, and AI models (when properly trained and tested) apply the rubric objectively. And, of course, there's always an option to validate AI-produced scores with periodic human review, especially for high-stakes evaluations, to maintain trust and accuracy.
Example:
Automated rubrics standardize the evaluation of editorial checks and data quality reviews across teams. Managers review samples to calibrate scoring.
assessments and intelligent feedback.
Predictive Analytics for Training Impact and ROI
Linking training efforts to business outcomes has long been a challenge for L&D. Today, AI-driven learning analytics are giving organizations new powers to measure and even predict the impact of training on performance metrics. By analyzing large datasets of learning activities and outcomes, AI can uncover patterns that help prove ROI and improve decision-making.
Advanced Learning Analytics
Traditional training metrics (completion rates, test scores, satisfaction surveys) only tell part of the story. AI allows far deeper analysis by correlating learning data with business data. Organizations are deploying predictive analytics that ingest data from Learning Management Systems, HR systems, and operational KPIs to evaluate how training moves the needle on business goals.
Example:
Analytics tools correlate training completion with tagging accuracy, adherence to service‑level agreements, correction rates, conversion of product demonstrations to clients, and customer satisfaction. This helps prioritize training modules.
Predicting Training Needs and Outcomes
AI can not only look backward but also predict future training needs and outcomes. AI-driven analytics can even predict which employees might benefit most from certain training, or who might be at risk of low performance without intervention. This predictive capability helps L&D teams prioritize and tailor their initiatives for maximum impact.
Example:
Predictive models identify editors or teams likely to miss service‑level agreements during product launches and automatically assign refresher training on style guidelines, outage communication, or failover procedures.
Real-Time Dashboards and Reporting
Modern L&D analytics platforms infused with AI provide real-time dashboards that track training effectiveness. These might include sentiment analysis of learner feedback comments, anomaly detection (e.g., identifying if a particular course consistently yields poor post-test results, indicating content issues), and even natural language generation to summarize insights for L&D managers. The goal is to move beyond basic reporting to actionable intelligence.
Example:
A live dashboard presents completion rates, failed checks, and plain‑language insights for operations and editorial leaders to monitor release readiness.
Demonstrating ROI
AI-powered analytics capabilities feed into the bigger mandate of proving the value of training. AI helps by directly linking learning metrics to performance metrics. Companies can now estimate the dollar impact of closing a skill gap or predict how improving a certain skill through training will affect key business outcomes. This elevates L&D’s credibility in the eyes of executives.
Example:
Dashboards for executives illustrate outcomes such as fewer corrections, faster onboarding, higher conversion rates from demos to customer adoption, and reduced backlogs after outages, demonstrating the return on training investment.
can drive your business outcomes.
Market / Industry Intelligence Providers
- Accelerate analyst onboarding with micro-paths.
- Reduce rework via taxonomy drills and coaching.
- Correlate training to insight turnaround time.
Data Aggregators & Platforms
- Improve data hygiene with daily micro-drills.
- Assist enrichment decisions with lookup bots.
- Tie training to quality and latency KPIs.
Financial / Capital Markets Data
- Enhance time-sensitive accuracy with alert sims.
- Standardize classification across coverage teams.
- Link training to latency and revision counts.
Research & Advisory Firms
- Boost report quality with summary scoring coaches.
- Accelerate junior analyst development paths.
- Correlate training to client satisfaction metrics.
News & Real-Time Information Services
- Scenario sims reinforce speed + accuracy balance.
- Practice embargo & sourcing compliance.
- Tie training to correction and alert metrics.
Data Enrichment / Annotation Teams
- Reduce misclassification drift with regular drills.
- Assist edge-case decisions with taxonomy bots.
- Measure impact via error velocity decrease.
Client Success & Insight Delivery
- Coach value framing and retention narratives.
- Surface prior analyses inside briefing workflows.
- Correlate training to expansion and renewal signals.
Knowledge / Content Operations
- Standardize metadata application at scale.
- Identify stale assets with predictive signals.
- Tie training to retrieval accuracy improvements.
Platform Product & Data Engineering
- Upskill on performance and schema evolution.
- Link training to latency and defect MTTR.
- Reinforce secure handling and lineage tracking.
Data Marketplace & Exchanges
- Improve dataset packaging clarity and usage notes.
- Standardize taxonomy for listing discovery.
- Tie training to reduction in support inquiries.