IamErejuwa Sales Academy

Setting Goals for Winners

Outside of handling horses, one of my favorite pastimes has always been watching football, basketball, and especially the Olympics. The average person watching the NFL or another sports network, on the other hand, does not see half of what these athletes accomplish. We don't see the countless hours these athletes spend on training, diet, technique, and, yes, critiques.

Competing in the Olympics in Calgary, Alberta, Canada was one of my fondest experiences from my rodeo career. Being around by so many outstanding athletes served as a stark reminder of the importance of having a winning mindset. An Olympian dedicates their entire life to winning an Olympic gold medal. They don't just wake up one day and decide to go for gold. They put in a lot of time practicing, critiquing, and seeking to improve. Those that return have dedicated four years to training in order to compete in the next Olympics.

I held myself to the same mental standards as a barrel racer and a horseman. It takes time and effort to train a horse. You must not only have drive and dedication, but you must also develop a winning mentality that is beneficial to both you and your horse.

Where to Start

Nobody begins their career as a world champion. Despite having grown up near horses, I had never participated in a barrel race. I went to a rodeo in Louisiana while I was in high school. I knew I belonged in the ring with the barrel racers as I watched them compete.

The following day, I tracked down my father's roping saddle, acquired one of his horses, and set up a single barrel in my grandmother's hay pasture. I was determined to be a barrel racer despite not having access to an arena or a trainer.

Set little goals for yourself at first so that you can acquire confidence as you work toward your primary goal. If you're a new barrel racer, your initial goal can be as easy as putting on a successful exhibition. Though it may not appear to be much, this achievement might help propel you forward in the long run.

Keep setting Goals

It's all too simple to set aside a few goals and just keep riding once you've accomplished a couple. Don't give up on setting objectives! Goals provide us with direction and provide us with something to aim for. Continue to create reasonable goals that you and your horse can achieve as you develop. If you're a local jackpot runner, you might set goals to reduce your time and advance through the divisions. If you're used to running in 3D, make a conscious effort to run in 2D. Make it a goal to place at bigger shows if you're winning in the 1D at lesser shows.

My objectives grew as my riding skills increased. They went from winning a barrel race in my city to competing in a rodeo across the country. I chose the rodeos I wanted to compete in that year when I set my objective of going to the National Finals Rodeo. On my final trip to the NFR, I was already planning which rodeos I wanted to win the next year. Individual triumphs propelled me to the NFR 11 times over four decades. My horse training sessions were planned around how I wanted them to perform. I might not have been the winner if I hadn't been diligent in my training and goal-setting.

One of my objectives was to be on the lookout for my next champion at all times. You don't have to be the only one who sets objectives for themselves. R.E. Josey had an uncanny ability to predict future champions. As you may have heard in one of my numerous stories, he has assisted me in finding several of my wonderful horses.

Your objectives should be progressive, increasing in difficulty over time. Prepare to push your objectives to new heights as you and your horse concentrate on honing your skills and fine-tuning your runs. Don't forget to celebrate the minor triumphs in the midst of the major challenges. The practice pen hours are what get you to the pay window.

Why Should You Learn Effective Data Science Communication?

Communication is the most major soft skill gap I've found in Data Science and engineering. There aren't enough people who can communicate effectively with both technical and non-technical audiences. Consider your job. Are you able to modify your speech to the audience watching while you're conducting a sprint review, demonstrating a demo, or simply having a chat with someone? Many people struggle with this skill, and it frequently leads to rifts between teams that do not fully comprehend each other. Today, I'd want to offer a tale on why communication is so important, as well as some of the things I've learned from working with previous clients.

Understanding the Business's Requirements

Understanding what the business requires of you is one of the first steps toward effective communication between the business and technical teams. I spent the first month of working with one of my previous clients delving deep into the project they had started. I wanted to know why they were using their data and what they were doing with it. In other words, they intended to search through thousands of data for electrical failures.

When looking at that problem description, it's easy to get carried away and construct a data science project that can uncover failures. To discover patterns in the data, you can look for failure codes, check for abnormalities, and run the most complex algorithms. But, before you go off and fix it, are you sure that's the whole issue?

Yes, the client wanted to search through hundreds of data for electronic device failures, but they also wanted more. They wanted to know why these failures were happening, if there was a cause or collection of causes, if it was a specific type of failure, and so on. Because the business problems we confront in data science are rarely as straightforward as they appear at first, learning how to communicate and ask the correct questions is critical. Why is it critical to comprehend your client's requirements? Because you must give them with a solution that meets their requirements. Start by asking questions before diving into your solution.

Informing the Company of Your Capabilities

You can begin creating your solution once you have a strong understanding of what the business requires and what is doable with the data you have. Whether you're generating a proof of concept, developing a demo, or creating a set of diagrams to demonstrate your solution, make sure you're communicating with your client. Your client or customer is interested in learning what you can do with their data and your solution.

When building a solution, my personal preference is to exhibit incremental progress and solicit feedback at each stage. Feedback is crucial, regardless of your favorite method. You're working with your client to figure out if the method you're taking is working and delivering the results they expected by asking for input. They may have agreed to the method when you first drafted your plan, but implementation can produce unforeseen results. Asking for feedback frequently might help you avoid problems like finishing a project with a solution that no one except you likes.

Changing Your Results into Their Successes

How can you transfer your outcomes to your company's success now that you've identified your business challenge and devised methods to address it? How can you demonstrate the value of the data you're studying and the process changes you've made? To be honest, learning this talent was difficult for me. I knew how to execute the technical job, communicate with the company, and understand their needs, but I didn't know how to present it in a way that the business could understand. An executive isn't interested in the nitty gritty specifics of your technical effort; they're interested in the commercial impact.

The best tip I've received on translating technical effort to the business is to collect metrics before, during, and after your improvements. Use these metrics to demonstrate the value of your work. Reduced time to accomplish a task or group of tasks, reduced cost of a certain activity, or reduced number of product failures are some of the frequent metrics I've seen utilized. Find and understand your company's common KPIs, regardless of the industry you operate in. Work with your business partners to figure out how they want improvements to be measured, and then use those measures to show off your work.

Final Thoughts

So, why is communication, both technical and non-technical, so important in data science? Because it has the potential to create or break a project. Communication can be difficult in any job. However, translating between technical and non-technical colleagues while working on a data science project might be even more difficult. This communication gap is one of the most significant challenges I've encountered in data science and STEM. There aren't enough technical personnel who can explain their job to non-technical persons or translate a business demand into technical competence. Today, I'm going to show you how I addressed one of my previous clients in terms of understanding their business needs, delivering a solution, and interpreting the results. What were the most important lessons I acquired from this experience? If you're anything like me, asking for feedback might be intimidating, yet it can make all the difference in whether a project succeeds or fails.

What Are Your Questions About Product Marketing Management?

Product marketing is the point where marketing, growth, product, and sales all come together. It is the unit saddled with the job of evangelizing the product's excellence to clients in need.

Until a few years ago, product marketing was considered a part of product management; don't ask me why that changed. Product marketing is comparable to marketing in that it blends art and science, and a product marketer is required to work across tech, marketing/sales, and customer-facing teams.

In a nutshell, the core essence of product marketing is to ensure that the appropriate product reaches the right market at the right time to solve the right problems. To accomplish this, product marketers collaborate with people from all departments to get the information they need to engage customers, ask questions, research the market, and create outstanding assets to attract and retain customers.

To further break it down, from the most basic to the most complex level, here are the 5 primary actions you should expect from a product marketing team.

1. Discover

The product marketing team will need to look into market research, make assumptions for specific business cases, and validate market requirements with consumer feedback throughout the discovery stage.

At the same time, the team will be charged with gathering significant competitor intelligence, performing win/loss analysis, and finally reviewing and refining all of the data points gathered during this phase. The outcome of this stage will provide the team with a better idea of how to move forward with the project.

2. Strategize

The product marketing team will establish a Go-to-Market strategy, product objectives, barriers to market access, acquisition techniques, and onboarding experience after validating assumptions from prior phases.
Internal communication will be used by product marketing to develop all-inclusive pricing, sales enablement, and retention and expansion strategies. The outcome of this stage will aid in preparing the marketing, sales, and customer teams for how to best reach, attract, and retain users for the product.
3. Define

The product marketing team is now ready to acquire, onboard, and give additional value to users. The product marketing team is in charge of creating buyer and user personas, positioning and narrative design, as well as storytelling, segmentation, use cases, and messaging throughout this phase.
The product marketing team is now ready to acquire, onboard, and give additional value to users. The product marketing team is in charge of creating buyer and user personas, positioning and narrative design, as well as storytelling, segmentation, use cases, and messaging throughout this phase.
All of the actions in this phase are linked and contribute to the team's ability to better define the optimal messaging and segmentation for each persona based on the previously established use cases.

4. Get Set

The active training of the marketing, sales, and customer service teams starts here. active training. Product marketing is in charge of creating sales enablement assets, which include competitive intelligence, market research, buyer personas, and front-facing team interviews.
Product marketing will assist in the preparation, training, and distribution of sales assets and training materials among teams. To initiate campaigns, all research findings, use cases, messaging, and narrative methods will be shared with the core marketing team. This phase's end result will aid product marketing in developing the best retention strategies in order to achieve product-market fit and improve delivery.

5. Grow

Product marketing will collect customer input from both sales and customer care teams at this point, analyze marketing campaigns, sales asset utilization, and generate case studies to help customers interact more deeply.

To excite and give more value for customers, product marketing will work closely with the product management team to prioritize tickets that are vital to the user experience, optimize product delivery, and onboarding flows.

Product marketing superpowers, on the other hand, are the ability to conduct extensive research on the user, buyer, and market. Product marketers next analyze these research findings in order to create sales and marketing assets that will effectively acquire and keep users. If you are curious, creative, and enjoy collaborating across teams, becoming a product marketing manager could be a fantastic fit for you.

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