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Get Custom Training

for Online Media Teams

Deliver personalized learning
Deliver personalized
learning
Close skill gaps
Close skill gaps
Establish cost-effective training operations
Establish cost-effective
training operations
Elevate your Online Media team with quality custom training content.
Here's What Our Clients Say
Examples of custom elearning solutions
for the Online Media industry
Microlearning Modules
Microlearning Modules

Bite-sized lessons that deliver focused knowledge quickly and efficiently.

Example:

A microlearning module teaches how to craft headlines that attract readers while maintaining trust. It demonstrates how the combination of a strong verb, a specific noun and a hint of payoff can improve a headline without resorting to clickbait. Learners compare crisp headlines with curiosity‑driven versions that may backfire and receive two simple experiments to test in their content management system.

Engaging Scenarios
Engaging Scenarios

Interactive stories that let learners practice decision-making in realistic contexts.

Example:

An engaging scenario places learners in the middle of a breaking‑news situation. They must decide whether to publish immediately and update later, wait for additional confirmation or report only confirmed details with caution. Each option affects traffic, correction risk and audience trust over the following week, illustrating the consequences of different decisions.

Tests and Assessments
Tests and Assessments

Quizzes and evaluations that measure understanding and track progress.

Example:

A test presents brief content samples such as a fact from a wire service, a quote from a competitor or a short video clip. Learners decide whether to credit, quote or omit each item and receive immediate feedback that clarifies fair use versus infringement, helping them publish quickly and responsibly.

Personalized Learning Paths
Personalized Learning Paths

Customized content sequences tailored to each learner’s goals and needs.

Example:

A personalised learning path tailors content to different newsroom roles. Reporters practise accurate sourcing notes and conversational interviews. Editors learn to make quick, empathetic line edits and coach writers to strengthen key sentences. Video producers build three‑part mobile stories that engage viewers even without sound. Social editors refine tone, escalation protocols and pacing to engage audiences without fatigue.

Performance Support Chatbots
Performance Support Chatbots

On-demand digital assistants that provide just-in-time answers and guidance.

Example:

A performance support chatbot addresses common questions about style and standards. It advises on capitalization, identifies statements that require sourcing and explains where to place disclosure notes. The chatbot references the organisation’s style guide and legal guidelines and provides ready‑to‑use wording.

Online Role-Plays
Online Role-Plays

Simulated conversations or interactions that help learners build real-world skills.

Example:

An online role‑play pairs learners with a virtual interviewee who may be grieving, upset, enthusiastic or pressed for time. Participants practise asking for consent to record, allowing silence and verifying quotes without making the interviewee feel like an editor. The tool provides playback and feedback to help learners notice how phrasing affects trust.

Compliance Training
Compliance Training

Structured programs that ensure employees meet regulatory and organizational standards.

Example:

A compliance training module teaches how to properly disclose sponsored content, affiliate links and gifted items. It presents examples of disclosure placements that are easily overlooked and demonstrates how to make them clear without disrupting the reading experience. This helps teams publish confidently across different platforms.

Situational Simulations
Situational Simulations

Immersive activities that replicate real-life challenges in a risk-free environment.

Example:

A simulation recreates a scenario where a link goes viral while the content management system slows down. Learners decide which services to pause, which to mirror and how to communicate updates to readers in a calm, transparent manner. The exercise helps them prepare a plan for similar situations in the future.

Upskilling Modules
Upskilling Modules

Targeted courses designed to expand knowledge and build new competencies.

Example:

An upskilling module focuses on search‑friendly writing that maintains readability. Through examples, it shows how clear nouns, summary decks and clean URLs help audiences find content without resorting to keyword stuffing. The module emphasises search optimisation as a service to readers.

Problem-Solving Activities
Problem-Solving Activities

Exercises that strengthen critical thinking and practical problem-solving skills.

Example:

A problem‑solving activity provides a timeline, a list of corrections and critical reader comments from a past story. Team members identify what worked well, what should change and agree on a workflow adjustment to improve their response to future high‑traffic events.

Collaborative Experiences
Collaborative Experiences

Group learning opportunities that encourage teamwork and knowledge sharing.

Example:

A collaborative workshop brings together reporters, video and audio producers, graphic designers and social media editors to plan a major story. By the end of the session, the group produces a shared outline, multiple headline options, a short video segment and tailored social media plans for different platforms.

Games & Gamified Experiences
Games & Gamified Experiences

Play-based learning methods that motivate through competition, rewards, and fun.

Example:

A gamified exercise makes fact‑checking a daily warm‑up. Participants are given several claims and sources and must identify the most reliable citation. A leaderboard rewards accuracy and thoroughness rather than speed.

Let's discuss which custom solution can take your team to the next level.
Discover an easy way to ensure…

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.

Typical Outcomes Seen by Organizations
in the Online Media Industry

40%

40%
Less Time Spent on Training

Online learning requires less than half of the time that would be needed for in-person training.

70%

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%

94%
Higher Learner Satisfaction

94% of adult learners prefer to study at their own pace and on their own schedule.

Using AI to improve training outcomes
in Online Media
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.

robot
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:

An AI assistant references the organisation’s style guide, advertising policies and templates to provide quick help. It can suggest headline and subhead pairings for different tones, draft platform‑appropriate disclosure lines or offer polite holding statements when details are still being verified.

Example Solution 24 7 Learning Assistants illustration
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 coach reviews scripts or drafts and points out structural weaknesses, statements that require sourcing and sentences that could be removed. The feedback is prompt, respectful and specific.

Example Solution Feedback And Coaching illustration
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:

A role‑play simulation allows learners to practise negotiating off‑the‑record or on‑background agreements with sources. Guided by virtual colleagues, they rehearse precise language that sets expectations and prevents misunderstandings.

Example Solution Scenario Practice And Role Play illustration
Let's discuss how AI-powered chatbots and virtual
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.

Automated Assessments and Intelligent Feedback
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 generates quizzes from updates to style or policy documents. It creates practical, scenario‑based questions that editors encounter, focusing on ambiguous areas that often lead to last‑minute messaging.

Example Solution Auto Generated Quizzes And Exams illustration
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 automated grading tool evaluates written content against the publication’s voice, identifying words or phrases that alter the tone. It provides a summary for editors, allowing them to focus on coaching rather than line‑by‑line corrections.

Example Solution Automated Grading And Evaluation illustration
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 assistant analyses rough video cuts, noting where the narrative hook weakens or on‑screen captions obscure the subject. It recommends a clear three‑part structure and highlights the most effective on‑screen word to enhance recall.

Example Solution Ai Assisted Feedback And Coaching illustration
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:

Shared evaluation rubrics ensure that interns, freelancers and staff are assessed consistently. When variations occur, the system suggests a short calibration session using paired examples to realign reviewers.

Example Solution Fairness And Consistency illustration
Let's discuss how you can benefit from AI-driven
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.

Predictive Analytics for Training Impact and ROI
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:

Advanced learning analytics link training activities to newsroom metrics such as correction rates, time to publish breaking stories, engagement time on long‑form pieces and qualitative indicators of reader trust in comments and emails. This helps teams see how learning affects performance.

Example Solution Advanced Learning Analytics illustration
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 analytics identify desks where correction rates are rising and recommend focused refresher training well ahead of major news packages, preventing recurring errors.

Example Solution Predicting Training Needs And Outcomes illustration
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:

Real‑time dashboards show editors and managers which stories are in editing, which reviews are pending, which sponsored content pieces have been cleared and whether social media responses are staffed. This eliminates the need to check multiple platforms to track progress.

Example Solution Real Time Dashboards And Reporting illustration
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:

Quarterly summaries show how training improved the clarity of copy, reduced urgent legal escalations, supported smoother launches and strengthened reader trust. These reports provide evidence for publishers to share with advertisers and board members.

Example Solution Demonstrating Roi illustration
Let's discuss how predictive analytics
can drive your business outcomes.
Industry Fit Without Industry Friction
Digital Newsrooms
  • Reduce corrections through faster, structured source vetting.
  • Accelerate approvals with consistent style and tone.
  • Show measurable drops in avoidable rework.
Streaming & Video Teams
  • Strengthen rights and attribution habits pre-edit.
  • Improve script clarity and neutrality.
  • Reduce late-stage compliance changes.
Social & Audience
  • Publish faster while maintaining verification clarity.
  • Standardize sensitive event phrasing.
  • Lower escalation and reword requests.
Podcasts & Audio
  • Embed disclosure and rights checks in pre-production.
  • Improve interview tone and structure.
  • Reduce post-record edits for standards.
Data & Interactive Teams
  • Improve clarity of annotations and methodology notes.
  • Flag risky visual framings early.
  • Correlate training to fewer chart corrections.
Fact-Checking Units
  • Standardize evidence capture templates.
  • Accelerate cross-desk verification support.
  • Show reduced time-to-publish after claims surge.
Branded Content Studios
  • Maintain tone boundaries between editorial and sponsored.
  • Reduce revisions through clearer briefs.
  • Track faster approval cycle times.
Editorial Operations / PMO
  • Reduce bottlenecks with data on content flow.
  • Spot emerging training needs early.
  • Quantify fewer escalations and smoother handoffs.
Legal & Standards
  • Lower error and defamation risk with early phrasing checks.
  • Focus reviews on true edge cases.
  • Show drop in late-stage redlines.
Executive & Strategy
  • See clear links between training and output quality.
  • Track consistency metrics across desks.
  • Support responsible growth with fewer brand risks.
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