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Elevate your Public Relations and Communications team with quality custom training content.
for the Public Relations and Communications industry
Microlearning Modules
Bite-sized lessons that deliver focused knowledge quickly and efficiently.
Example:
Brief lessons teach how to write press notes that respect a reporter’s time. They cover crafting a clear subject line, listing verifiable facts, linking to assets, and using before‑and‑after examples to show how removing unnecessary adjectives or data points keeps pitches concise. Learners also learn how to log outreach to avoid duplicate efforts.
Engaging Scenarios
Interactive stories that let learners practice decision-making in realistic contexts.
Example:
A crisis scenario puts learners in the communications seat when a customer video begins circulating. They decide whether to issue a holding statement, contact the customer first, or brief employees before posting publicly. The simulation shows how media inquiries, stakeholder reactions, and time pressures evolve with each choice.
Tests and Assessments
Quizzes and evaluations that measure understanding and track progress.
Example:
A pop‑quiz presents small excerpts containing affiliate links, gifted products, or client quotes. Learners decide whether attribution and disclosures are sufficient and receive an alternate sentence that maintains transparency without undermining the story.
Personalized Learning Paths
Customized content sequences tailored to each learner’s goals and needs.
Example:
Tailored learning paths support account executives, content leads, corporate communications, and internal communications. Account executives practice setting expectations and summarising key points; content leads refine angles and sourcing; corporate teams rehearse briefings for executives; internal communications align tone and timing across channels. Missed checkpoints trigger focused refreshers.
Performance Support Chatbots
On-demand digital assistants that provide just-in-time answers and guidance.
Example:
A style and standards assistant answers questions about content formatting, disclosure placement on different platforms, house style for numbers, and capitalization. It provides citations from the style guide and paste‑ready sentences for approval emails.
Online Role-Plays
Simulated conversations or interactions that help learners build real-world skills.
Example:
Spokespeople practice interviews with a virtual reporter. They learn to acknowledge the question, share what is known, explain what they cannot share, and bridge back to verifiable facts. Time‑stamped feedback highlights phrases that build credibility and those that could erode trust.
Compliance Training
Structured programs that ensure employees meet regulatory and organizational standards.
Example:
Disclosure training uses practical side‑by‑side examples to show how small adjustments in wording or label placement can make disclosures clear on various platforms. Participants finish with templates they can reuse and a checklist to consult before publishing.
Situational Simulations
Immersive activities that replicate real-life challenges in a risk-free environment.
Example:
A launch‑day simulation replicates the fast pace of embargo lifts, first‑look coverage, and influencer posts. Learners choose what to amplify, what to let settle, and how to communicate small changes. The simulation shows how decisions affect coverage quality, team workload, and brand sentiment over the next two days.
Upskilling Modules
Targeted courses designed to expand knowledge and build new competencies.
Example:
An upskilling module teaches how to transform product facts into stories reporters want by focusing on trends, data insights, and human outcomes. Learners annotate sample pitches and highlight the sentence that ties the announcement to wider relevance.
Problem-Solving Activities
Exercises that strengthen critical thinking and practical problem-solving skills.
Example:
A post‑mortem exercise gives teams a traffic chart and real comments from stakeholders. Participants note two practices they would keep, one they would change, and suggest a process tweak—such as reducing approval steps—to make the next campaign smoother.
Collaborative Experiences
Group learning opportunities that encourage teamwork and knowledge sharing.
Example:
In a one‑day messaging sprint, product, legal, HR, and communications teams collaborate to craft a single set of statements for external and internal audiences, complete with source links and escalation rules. By the end, everyone can use the shared document confidently.
Games & Gamified Experiences
Play-based learning methods that motivate through competition, rewards, and fun.
Example:
A headline‑writing challenge turns copy editing into a friendly competition. Teams start with a lukewarm headline and improve it by adding specificity, data, and human interest. Points reward clarity and relevance instead of cleverness.
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 Public Relations and Communications 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 Public Relations and Communications
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:
An assistant references the stylebook, disclosure policy, and brand guidelines to answer questions about formatting, labeling, and wording. It helps teams move forward without guesswork or reinventing existing standards.

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:
When a pitch or statement is submitted, the coach identifies where the introduction lacks focus, where a claim needs sourcing, or where an adjective alters the tone. It proposes alternative lines that maintain clarity and warmth.

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:
Learners practice stakeholder calls about difficult updates with a virtual counterpart. They learn to say what they know, acknowledge what they do not, and provide a timeline for future updates.

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:
Paste a new policy into the system and receive practical scenario questions about disclosures, captions, and claims. Subject‑matter experts can quickly review and publish these quizzes.

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:
A tool scores sample copy for tone, clarity, and alignment with the brand voice. It surfaces patterns that creative leads can coach quickly, saving time for higher‑level work.

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:
For video or social posts, learners upload a rough cut and receive feedback on where the opening loses focus, where captions obscure visuals, or where disclosures are missing. The assistant suggests a three‑part structure that keeps viewers engaged and informed.

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 review rubrics keep evaluations consistent across teams and vendors. When differences appear, the system offers paired examples for quick calibration instead of lengthy meetings.

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 move beyond impression counts to connect practice to metrics such as correction rate, quality of earned coverage, response time, and client satisfaction. These indicators help leaders focus on durable results rather than short‑lived spikes.

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:
Before major launch periods, the system detects desks with increasing compliance edits and prompts a targeted refresher. Small, timely tune‑ups prevent late‑night corrections.

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 shows messages cleared, disclosures reviewed, pitches sent, and holds lifted. It gives leaders an up‑to‑date overview without searching multiple tabs.

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 rollups connect training with faster approvals, fewer corrections, smoother launches, and happier clients. The narrative emphasises results that financial leaders respect.

can drive your business outcomes.
PR Agencies
- Pitch smarter angles and cut approval cycles.
- Keep disclosures and claims clean across platforms.
- Prove impact beyond impressions with better coverage quality.
Corporate Communications
- Align internal and external messages in one shared source of truth.
- Rehearse press answers that age well under scrutiny.
- Track fewer retractions and steadier sentiment.
In-House Brand Teams
- Keep brand voice coherent across regions and agencies.
- Shorten approvals with shared rubrics and examples.
- Connect training to faster time to publish and fewer edits.
Nonprofit & Public Interest Comms
- Tell evidence-based stories with dignity-first language.
- Run calm, transparent updates in fast-moving moments.
- Correlate learning to trust signals and supporter retention.
Healthcare & Regulated Sectors
- Navigate claims and disclosures without slowing the team.
- Rehearse statements that balance clarity and compliance.
- Measure fewer legal escalations and faster approvals.
Startups & Scaleups
- Turn product facts into relevant stories, not hype.
- Build a nimble crisis playbook before you need it.
- Track coverage quality and investor-ready clarity.
Higher-Ed & Public Institutions
- Coordinate multi-stakeholder messaging without crossed wires.
- Run briefings that respect time and build trust.
- Tie learning to fewer clarifying calls and cleaner coverage.
Entertainment & Creator Comms
- Balance speed with accuracy across platforms.
- Keep disclosures crisp without dulling the vibe.
- Track trust and engagement instead of just clicks.
Crisis & Issues Practices
- Rehearse measured responses and clean handoffs.
- Align counsel, legal, and ops with shared language.
- Show fewer missteps and tighter timelines.
Agencies of Record
- Scale consistent quality across pods and regions.
- Reduce rework with a living source of truth.
- Correlate training to client NPS and retention.