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Wysdom.AI The easiest way for businesses to improve customer satisfaction, contain costs, and generate revenue by using AI to power customer experiences.

CrowdCare is a fast-growing technology company creating the best customer self-care experiences on the planet. By providing the world’s most advanced care and support solutions for connected devices, CrowdCare helps mobile carriers and IoT providers increase customer satisfaction and lower customer service costs. Wysdom, CrowCare’s flagship product, is a full solution that supports the entire cust

omer self-care experience across all contact channels. When customers ask a question using an app or website powered by Wysdom, context from billing, network and device data is combined with the power of natural language processing to deliver instant actionable answers, specifically relevant to each user.

Feeling a bit meh about bot-native reporting?When it comes to bot platforms, you often get basic reporting with just a p...
01/04/2024

Feeling a bit meh about bot-native reporting?

When it comes to bot platforms, you often get basic reporting with just a peek into the data, showing numbers for volume, containment, and intent.

Before you go all-in on creating your own bot analytics solution and invest time and resources, consider these 6 points 👉 https://hubs.li/Q02dBdvn0

Last year we polled our audience: How confident are you in your conversational bot management setup?🫢 28% are just start...
01/02/2024

Last year we polled our audience: How confident are you in your conversational bot management setup?

🫢 28% are just starting or not at all
😐 24% said it's somewhat implemented or needs improvement
🙂 43% said yes but it needs updating
😄 5% said it was perfect

If you're in charge of a bot, just a heads up: sticking to a solid, regular management routine is really the secret sauce for smooth sailing now and into 2024 and beyond.

Want a sneak peek into a complete bot management sprint? See the link in the comments below 👇

01/01/2024

A year of new beginnings and endless possibilities awaits 🎉✨

Cheers to a year of growth, breakthroughs, and better bots. Happy New Year from the Wysdom team!

12/28/2023

There's no one-size-fits-all way to analyze intent performance…

But with the right framework, you can better figure out what's working and build a plan to improve your bot.

Jay Athia from Wysdom shares 3 insights that offer a fresh perspective on measuring intent performance:

1️⃣ Analyzing intent performance isn’t enough

Intent is how businesses view the conversation journey, but customers might see it differently.

For an effective bot improvement plan, look at real customer conversations. Think of contact reason as an audit for your intent – it helps identify gaps between what's programmed and what happens.

2️⃣ Containment is a false measure of bot performance

While containment might seem like it shows how well your bot handles conversations, it can be misleading. It only reveals what happened within the bot and doesn't indicate if the customer switched to a more expensive channel.

Look at other signals like automation rates and sentiment, and importantly, consider the live agent call handle time for the same topic to get a full picture of intent performance.

3️⃣ Signs to look for when planning your bot improvement roadmap

When planning to improve your bot, you'll have many ideas and input from different parts of the business. To ensure your changes have the impact you want, it's crucial to consider performance from various angles.

For example, if containment is falling in a specific topic, your first instinct might be to fix it. However, checking experience metrics could show that the bot is doing well. On the flip side, if containment rates seem good, a closer look at automation or sentiment might reveal a decline in customer experience.

💡 Measuring performance across a suite of metrics gives you a more holistic understanding of what’s working or not, so you can make sure your roadmap is addressing functionality that will have a positive impact.

12/27/2023

Looking for a better bot in the new year? First, learn what makes a bot stand out.

Check out Ian Collins from Wysdom as he breaks down why customer satisfaction at an affordable price should be your priority 👇

Still using containment as a measure of bot performance? Don’t bring that into 2024.You're overlooking situations where ...
12/26/2023

Still using containment as a measure of bot performance? Don’t bring that into 2024.

You're overlooking situations where the conversation is automated but the customer still has a bad experience. For example: Getting caught in a loop of misunderstanding, before jumping ship to find help elsewhere.

Learn how conversational analytics offer a more accurate measure of bot performance 👉 https://hubs.li/Q02dBgkZ0

12/25/2023

Ever notice that customers don’t usually contact you about just one thing?

Tariq Bethune, Conversational AI Solutions Manager at Wysdom, shows how the Operations Center quickly uncovers additional topics for creating better conversational journeys.

Forget sifting through transcripts manually. The Operation Center’s AI model decodes them, bringing up secondary topics. It’s like going a layer deeper than intent, giving you the insights to anticipate the customer’s next move.

With the Operations Center’s conversational analytics, you get the full scoop on why customers reach out. Plus it unveils hidden patterns in the data, helping you build a more complete conversation journey.

To our employees, partners, and customers, thank you for being part of our journey.We wish you the warmest wishes for a ...
12/21/2023

To our employees, partners, and customers, thank you for being part of our journey.

We wish you the warmest wishes for a season filled with joy and happiness.

12/19/2023

7 common bot myths you need to leave in 2023 🤖📊

1️⃣ Get better results by changing platforms

Before you jump to a new platform, take a peek at your bot’s performance using conversational analytics. Make it better by using good bot management practices.

2️⃣ To save money, customer experience must suffer

A bot doesn’t need to handle every conversation. Keep an eye on customer sentiment to know when to use a bot and when to switch to a real person. This way, you save money and still make customers happy.

3️⃣ Exit surveys help understand how customers feel about their bot interactions

Surveys often get few responses and mostly negative feedback. It's better to use AI to analyze real chat conversations for a more accurate sense of customer experience.

4️⃣ Containment shows how well the bot is doing

Checking containment needs context to avoid confusion. A high containment rate might mean users got stuck without finding answers, and it doesn't account for customers shifting to more expensive support channels. On the flip side, low containment could suggest the bot wasn't used effectively.

5️⃣ A high NLU rate shows that the bot is doing well

The NLU rate only shows how well the bot deals with recognized intents. To gauge true success, consider the topics your customers ask about that the bot hasn't been trained for yet.

6️⃣ You need data scientists to analyze how well the chatbot is doing

You don’t need a team of data scientists if you have the right conversational analytics. To quickly tackle performance issues, give the bot team the right tools and data, so they can get hands-on in resolving them.

7️⃣ Chatbot usage always slows down or goes down

Despite the common belief that chatbot usage will inevitably decline due to poor experiences, well-maintained chatbots can actually see more usage. Keep your bot easy to find, regularly upgrade it, and you'll attract customers who want to come back.

What other bad bot practices are you leaving behind as you enter the new year? Share with us below 👇

Hint: to improve bot performance, take a look at escalated conversations 🔎💬Why? Knowing what was discussed and how it wa...
12/18/2023

Hint: to improve bot performance, take a look at escalated conversations 🔎💬

Why? Knowing what was discussed and how it was resolved is very useful.

This info can be used to improve content journeys and discover new automation possibilities.

Learn more 👉 https://hubs.li/Q02d4XjM0

12/14/2023

Don’t let the cost per automated conversation remain a neglected metric 📈

Understanding the cost of automated conversations is crucial to enhance your bot’s efficiency. It involves more than just platform fees and chat volume; it’s about meeting customer needs cost-effectively. Regular evaluations and adjustments can significantly lower costs.

➡️ Why is the cost per automated conversation useful?

It is one of the primary key performance indicators (KPIs) that allows you to measure the quality and performance of your conversational bot, and how much you’re spending.

It serves as an indicator of how much you will want to invest in a conversational bot program in order to achieve your business goals.

➡️ What is the average cost per automated conversation?

The industry standard for the cost per automated conversation falls within the range of $1.00 per conversation for high-volume transactions up to $2.00 per conversation.

However, it will depend on the type of business you have, the use cases, channels, and the complexity of your customer experiences.

➡️ How to calculate the cost per automated conversation

There are two basic formulas you can use. The most robust calculation takes into account additional metrics such as resource costs and automation rate.

So, the cost per automated conversation = (Automation score * Volume of automated Conversations) / A very rudimentary calculation is Cost per call = Volume of automated conversations / (Cost of bot platform fees (implementation + licensing).

➡️ How to reduce the cost per automated conversation

The best way to do this is to identify your target cost per conversation and establish a measurement framework that takes into account automation, resolution, and experience.

It’s also important to know what is impacting performance gaps, to be able to address those and reduce the total cost per conversation.

12/13/2023

Don’t bring bad bot experiences into the new year.

The right conversational analytics and a repeatable bot management framework will help you catch issues and save you from those cringe-worthy moments.

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