Is Your Training Feedback Often Generic and Delayed? How to overcome this Challenge?

Have you ever found yourself stuck with vague, one-size-fits-all feedback long after your training session has ended? If so, you're not alone. The frustration of receiving generic, delayed feedback is a widespread issue in today’s traditional training method.

However, there's a ray of hope with the introduction of AI in training methods. AI promises to tackle these long-standing problems by bringing in an era of prompt, personalized, and practical feedback tailored to each person's unique way of learning. Wondering how? Let's unpack this a bit further.

Where Traditional Training Go Wrong with Feedback Mechanisms

Sir Winston Churchill's insightful observation, “Where my reason, imagination, or interest were not engaged, I would not or could not learn.” Similarly, if feedback doesn't grab your attention or make sense, you won't learn from it. This can lead to training that doesn't work well and learners who don't benefit as much as they should.?

Delayed feedback?

Traditional training methods encompass classroom-based learning, face-to-face workshops, seminars, and even some online courses where real-time interaction isn't available.?

In such settings, feedback isn't always immediate. Once the training session ends, trainers typically evaluate the trainees' performance. This can be based on observations during the session, scores from tests, or group activities.?

After evaluation, trainers schedule feedback sessions. This could be the next day, a week later, or even after a series of sessions. Since this happens after the actual training, the gap between performance and feedback can range from hours to days or even weeks.?

Consequences

• Trainees might forget specific details of what they did or how they performed a task. When feedback finally arrives, it might not resonate as trainees struggle to recall their actions, making the feedback less effective.?

• Errors become ingrained habits, making them harder to correct in the future.?

• In addition, delays demotivate learners as they're left in the dark about their performance, leading to decreased enthusiasm.

Generic feedback

In traditional training setups, with multiple trainees to attend to and limited hours in a day, even the most dedicated trainer can't provide feedback after every single session. Some lessons or performances inevitably get overlooked. This gap can leave them unaware of potential areas of improvement, stunting their growth and development.

Furthermore, when a trainer has to review the work of many trainees in a short time, he might opt for generic comments like "Good job" or "Needs improvement," without delving into the specifics of what was good or what areas need improvement.

Consequences?

• Trainees might not understand what they did right or wrong. They won't know which areas to focus on for improvement.

• Without specific positive reinforcement or clear guidance, trainees might feel unacknowledged and become less motivated.

• Generic feedback doesn't provide actionable insights. Trainees miss out on opportunities to refine specific skills or correct specific errors.????

Inconsistent Feedback

Every trainer has their own style, perspective, and criteria for evaluating a learner. Two trainers observing the same performance might provide different feedback based on their individual experiences, expectations, or biases. For instance, while one trainer might prioritize punctuality and discipline, another might focus more on the quality of work or creativity. This means that two learners exhibiting similar performances could receive vastly different feedback if they are being evaluated by different trainers.

Consequences

• When learners receive varying feedback for similar performances, it can lead to confusion. They might not be sure about the exact expectations or which areas truly need improvement.

• Inconsistent feedback can be demotivating. If learners feel they are being judged differently than their peers or if the feedback criteria seem arbitrary, they might feel that their efforts are in vain.

• Over time, if learners consistently receive inconsistent feedback, they might begin to question the credibility and reliability of the training process itself.

Bridging the Gap: What should we alter?

After looking closely at the old ways of training feedback, it's clear that there's a big problem with how we've been doing things. Even the best human trainers can't keep up with giving timely and detailed feedback to everyone, especially with so many learners. In simple terms, we're trying to use outdated methods for modern training needs, and it's not working well.

So, shouldn't we rethink things? Shouldn't we leave behind old methods and move toward the future? It's obvious we need to make changes to help learners get the best training possible.

Fortunately, we now have a solution to this issue: AI-based training. It offers timely, personalized, and actionable feedback. So, we can now bridge the gap that traditional methods have left wide open.

Implementing AI-driven Feedback In Training

Understanding the dire need for real-time, individualized feedback in training, we leapt into the future with ChatCoach.ai. This platform was designed to provide instant feedback, ensuring every trainee gets personalized advice suited to their specific requirements.

Let’s break down how ChatCoach.ai has revolutionized the feedback process:

User Interaction: A user interacts with ChatCoach.ai through a role-playing module where he's tasked with handling a difficult client scenario. The user speaks his responses, which are captured in audio format, and might also provide video-based interactions where his facial expressions, gestures, and posture are recorded.

Data Capturing: The system captures and processes this audio-visual data in real time. It converts the spoken words into text using Speech-to-Text technology, simultaneously analyzing the video for non-verbal cues.

Immediate Analysis:

• Linguistic Analysis: The AI performs a detailed linguistic analysis of the text data. It assesses the user’s choice of words, sentence construction, tone, and clarity.

• Sentiment Analysis: The AI gauges the sentiment of the speech - whether it's positive, negative, or neutral. It's crucial to understand if the user’s approach to the hypothetical client was empathetic or confrontational.

• Non-verbal Cues: Using advanced Computer Vision algorithms, the AI evaluates the user’s facial expressions, eye movement, and body language. For instance, maintaining eye contact might indicate confidence.

Comparison with Ideal Responses: ChatCoach.ai has a database of ideal responses and behaviours for various scenarios. User responses are matched against these to identify areas of alignment and divergence.

Crafting Personalized Feedback: The system aggregates insights from the analyses and crafts feedback tailored to the user. For instance, if the user’s

linguistic analysis shows hesitancy, but his non-verbal cues indicate confidence, the feedback might read: "Your body language exudes confidence! However, try to be more decisive in your verbal responses."

Immediate Delivery: This feedback is delivered to the user instantly upon the conclusion of his interaction. He can then review the feedback, understand his areas of strength and improvement, and opt to retry the scenario or move to another module.

Example:

“We might... um, be able to resolve this by... offering a 10% discount?" Her face, though, remains composed, and she maintains eye contact.

ChatCoach.ai's feedback: "You maintained a calm and composed demeanour – great job! However, your verbal response had some hesitations. Aim for more assertive communication. Consider saying, 'I believe a 10% discount could resolve this matter. How does that sound?'"

This detailed, immediate, and personalized feedback ensures that users like Sarah have actionable insights to refine their skills and improve continuously.

AI-driven feedback increases learner engagement, confidence, and drive to improve?

For businesses, this AI-driven approach translates into a workforce that's not only skilled but is also proactive, self-driven, and ever-eager to climb the next mountain. For employees, it feels like they're always moving forward in their careers. It's like a vibrant colour, making the entire picture richer and more impactful. Overall, using AI in feedback offers three key benefits: boosted engagement, increased confidence, and strong continuous growth.?

1. Heightening Learner Engagement:

By analyzing each learner's interactions, AI doesn't just provide feedback; it crafts insights tailored to their specific performance and needs. This means every moment they spend in training is laser-focused on what they truly need to learn, ensuring they're always hooked.?

Furthermore, since they can immediately see the results of their efforts and areas for improvement, this keeps them eager to dive into the next challenge. Additionally, the predictive feedback keeps the learners invested, as they feel the system understands and caters to their unique learning trajectory.?

How does it impact the sales?

When salespeople are highly engaged in their training, they absorb information more efficiently, which equips them with the latest strategies and product knowledge.

Direct Impact on Sales: By understanding their product and sales strategies deeply, salespeople can articulate value propositions more convincingly, leading to shorter sales cycles and higher conversion rates.

Increased Client Interactions: The eagerness to apply new learnings ensures that salespeople engage with potential clients more proactively, thereby increasing opportunities for sales.

Tailored Client Approaches: With predictive feedback, salespeople can better anticipate client needs and objections, crafting more personalized pitches that resonate with the client's unique requirements.

2. Bolstering Confidence:

Through real-time constructive feedback, learners get immediate insights into what they're doing right and where they can improve. Over time, this cultivates a growth mindset.?

Experiencing their own advancements and recognizing their accomplishments not only bolsters their confidence but also fuels their enthusiasm to tackle even tougher challenges with enthusiasm.

How does it impact the sales?

A confident salesperson is more persuasive, resilient, and proactive.

Enhanced Pitching: A boost in confidence means pitches are delivered with more conviction, enhancing the chances of a successful close.

Resilience in Rejections: Sales is often about facing rejections. With a growth mindset cultivated by AI-driven feedback, salespeople become more resilient, viewing rejections as opportunities to refine their approach rather than as setbacks.

Increased Upselling/Cross-Selling: Recognizing their accomplishments, confident salespeople are more likely to explore opportunities for upselling or cross-selling, maximizing revenue from existing clients.

3. Inspiring Continuous Growth:

As learners interact with the training content, the AI not only provides feedback but also learns from the user's progress. This means that as learners grow, the AI's feedback evolves, ensuring that learners are always pushed to their next best.?

So with AI-driven feedback, no more getting stuck. There's always a new goal to reach for.

How does it impact the sales?

A sales team that is continuously growing is always improving its strategies, understanding of the market, and client engagement techniques.

Adaptability: With ever-evolving feedback, salespeople are quick to adapt to changing market dynamics, ensuring they're always ahead of the curve.

Expanding Client Base: By always aiming for the 'next best', salespeople will be driven to tap into new markets or demographics, expanding the company's client base.

Refined Sales Strategies: Continuous learning and feedback mean that sales strategies are constantly refined, leading to more successful client engagements and increased revenue.

Final Thought

Traditional training methods, while tried and true, lack the precision, personalization, and scalability that modern businesses require. But AI-enhanced training platforms don't just offer training—they provide a dynamic, tailored learning journey that evolves with each user, maximizing every moment of training. Companies that adopt this technology will not only see improved employee performance but will set themselves apart as leaders and innovators in their industry.

So why wait for the future when it's knocking at your door today??

Check out ChatCoach.ai and change how your company learns. Book a free demo session here: https://chatcoachai.zohobookings.com/