Burkhard Berger is the founder of Novum™. You can follow him on his journey from 0 to 100,000 monthly visitors on novumhq.com. His articles include some of the best growth hacking strategies and digital scaling tactics that he has learned from his own successes and failures.

The tech startup scene is one of the most popular trends that is happening in today’s time, with almost 63,700 startups being active in the US alone in 2021. That trend is only expected to grow as many more entrepreneurs try to get an awesome piece of the pie in the world of tech.

Getting into the startup scene, however, is far from pretty. With almost little or no starting money to kick things off, it can be pretty hard to climb up the ranks to be successful.

The startup world is tough, but the ones that push through and succeed are about to get into an entirely new world of business that can possibly propel them into the following generations forward in the future with their own unique market niche to cater to and support their growth all throughout the journey to becoming full-fledged tech companies.

Now with that said and done, this Process Street post will look over the reasons why tech startups fail – and how you can succeed:

• Why startups fail
• Getting started with your startup strategy
• Keep evolving your tech startup

Let’s dive in!
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You’re an HR department of one (and a bit). You have a PEO (professional employer organization) for support, but basically, it’s just you handling the day-to-day.

The CEO says he needs a new role filled ASAP with a list of qualifications. Filling the role will be a challenge, sure – but it’s not the main problem.

How are you going to get this new hire up-to-speed thoroughly in as short a time as possible when you don’t have any sort of standardized structure for doing that?

Simple: Build one.

Easy for me to say, right? It’s my job to build processes; I do it all the time. And that’s true. At Process Street, we do build processes all the time. Sometimes just for the heck of it. You might even say we’re pretty darn good at it.

This means – that’s right – we’ve already built the process you need. You can thank us later. Meanwhile, check out the rest of the post and exactly how you can optimize your onboarding so everyone has a good experience:

• A cautionary tale of one company’s onboarding woes
• Be the HR they need…
• Employee onboarding: Everything’s impossible until somebody does it
• For once, I’m stuck without a punchline

To the process mobile!
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Since 2015, Nahla Davies has been working with enterprise clients around the world developing RegTech protocols and best practices. She’s also worked with both enterprise and sovereign governments as a key contributor for notable public projects like DCOM.

If the pandemic has shown the world anything, it’s that business professionals and, specifically, marketers can still meaningfully engage customers in an increasingly digital world. It’s undoubtedly challenging for marketers to continue providing a seamless customer experience across different digital channels such as social media.

Thankfully, though, factors such as artificial intelligence (AI) and data analytics can make multi-channel customer experiences engaging across the entire customer journey — from product consideration all the way to purchase.

Businesses have proven themselves both capable and willing to remain adaptable amidst the tumultuous COVID pandemic in order to understand business problems and subsequent opportunities. The process of actually understanding these problems and opportunities, however, isn’t exactly straightforward.

Analytics, data, and artificial intelligence have the potential to enrich marketers’ understanding of their customers’ experiences in order to deliver meaningful, relevant experiences in the future. To that end, let’s quickly take a look at how data and analytics can be invaluable for marketers interested in enhancing the complete customer journey that they provide across different digital channels.

• Tailored strategies enhance customer experiences
• Analytics and data-driven personalization
• Automation increases time for customer interaction
• Chatbots are becoming more useful than ever to customers
• AI & data analytics: The trend that keeps growing

Let’s jump in!
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Creating workflows with Process Street is as quick and easy as 1-2-3. To prove it here are five tips to help you create your first workflow:

• Pages: The peanut butter to your workflows
• Pick a simple, repeatable workflow
• Complete your task list first
• Use form fields to capture information
• Assign your team members
• Connect your favorite apps in one place

Let’s get started!
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Joanne Camarce is a digital marketer focused on growing and strategizing B2B marketing and PR efforts. She loves slaying outreach campaigns and connecting with brands like G2, Wordstream, Process Street, and more. When she’s not wearing her marketing hat, you’ll find Joanne lost in the world of Japanese music and art, or just being a dog mom.

From increased employee autonomy to the transformation of offices into meeting hubs, the world of work has experienced a fundamental shift in how things are done. As data and tech innovations continue to morph the future of hybrid work for startups, that change will keep moving.

And that’s a good thing.

None of us knew exactly how much change the pandemic would bring, and some of that change has been frustrating, difficult, and not exactly ideal. Some of it, though, has been very necessary. Some of that change has even been a bit brilliant and revolutionized workplace accessibility in ways many employees have only dreamt of.

We’re talking about change that has made the startup world more efficient, strategic, and, heck – more human.

So how exactly do data and tech continue to impact the future of hybrid work for startups? Let’s find out.

In this post for Process Street, I’ll cover the primary impact hybrid has had so far – and what companies can expect going forward:

• The future of hybrid work & data security
• Rethinking the hybrid workspace
• Hybrid work & money matters
• Using automation & consolidation to ease the hybrid transition
• Nurturing culture & well-being for hybrid workers

Let’s get to work!
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The early days of a startup are crazy.

You have a small group of brilliant and adventurous people taking on tasks they’ve probably never done. Tight budgets leave you doing things like building desks out of doors because they’re cheaper. Your whole focus is solely directed at the goal of getting your product out there in front of customers, who probably don’t even realize how much they need your product yet.

Fast forward a couple of years and those brilliant and adventurous people now have job titles and (more or less) set job descriptions. Your engineers are spending most of their time finessing the UI and developing new features rather than building fundamental structures and foundations. You have a solid customer base that’s avid about your product – and just keeps growing.

Except – as brilliant as they are – that small group of people no longer has enough hands to do everything that needs to be done.

It’s time to scale your startup – but you need to do it fast, accurately, and strategically. So where do you start?

To find out, I sat down with Process Street‘s very own head of talent, Rosy Bellorini, to get an inside view on how to get the talent you need to scale your startup.

• So you’re ready to scale your startup…
• The first rule of Startup Club
• The Process Street acquisition process

Let’s dig in!
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Instead of an alphabetic writing system, the Incan Empire used a series of knotted and colored strings called quipu.

Quipu are still used in South America today, primarily by herders recording livestock numbers, but experts still only have theories about how the actual Incans used their quipu way back. Some believe quipu were simple memory aids, while others point to purely numerical record-keeping. The latest trend is the theory that quipu were on their way to becoming viable alternatives to written language.

Looking at that image, I know what you’re thinking: How could a series of knots ever represent a narrative about anything?

To be fair, though, the ancient world had a lot of weird record-keeping methods. You’ve probably encountered the Celts’ Ogham alphabet, Viking runes, and the Egyptians’ hieroglyphs – because scholars have been able to figure out what those symbols mean – but there are still many – like the quipu – we don’t quite understand.

For the most part (we think), these cultures followed a predominantly oral tradition, which is why we don’t have any documents explaining their languages. Even the Romans – who loved to write things down – left us a language (Latin) we don’t actually know how to pronounce. All because no one thought about documenting their systems in a universally understandable way that would stand the test of time.

Now, hopefully, your internal onboarding processes aren’t at risk due to your CEO’s sibling overthrowing their rule or violent colonization by an invading force, but if your organization’s employee onboarding isn’t a documented process anyone could use, it’s about as useful to your company as an Incan quipu is to a 21st-century New Yorker.

HR has gone through so many changes in the past few years that it’s not even called HR anymore. The same old systems that have worked just fine up to now just aren’t going to cut it anymore. People managers need dynamic, interactive processes that are flexible enough to meet the ever-changing needs of both their future new hires and their current workforce.

In this Process Street post, I’m going to show you how to easily level up your employee onboarding so it doesn’t become yet another antiquated system no one remembers how to use.

• Old-school employee onboarding mistakes
• Welcome to the HR People Management revolution
• Next-generation employee onboarding automation

Let’s get started!
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I play video games at work.

It’s the remote manager’s nightmare: A wayward employee who does whatever they want because they lack the strict supervision of the office to keep them in line. Critics of remote work would seize on this very scenario as proof that remote workers are merely lazy and entitled.

Should employees’ web activity be tracked to make sure they’re putting in a solid eight hours of work time?

For those remote workers who don’t have designated space or equipment that is “work use only,” why should they agree to be surveilled in their homes and on their personal devices?

How do you guarantee that both your clients and your employees can feel secure that what is meant to be private will not be made public?

Most importantly, if the deliverables are delivered when they should be, does it matter how they got there?

In this Process Street post, I’m going to (attempt) to provide answers to some of those questions, discuss the issues employers need to consider before monitoring employees, and look at some “soft surveillance” alternatives to hard data collection.

• The case for workplace monitoring
• In defense of employee autonomy
• Creating a sustainable balance between monitoring & autonomy

Read on!
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Kevin Elliott is a Marketing Manager for NiceJob, a platform that helps businesses collect and share customer reviews to improve their reputation and leverage it to increase sales and drive growth. He enjoys writing about business tips, workflow management, digital marketing, and customer experience. He has a cute puppy named Karl.

SaaS businesses and B2B sellers face unique challenges across the business landscape. You have to deal with long sales cycles and supposedly fickle buyers with multiple stakeholders who need to comply with internal policies—barriers unknown to many small, B2C businesses. But it’s exactly these circumstances that make tried-and-true techniques from consumer marketing so valuable for SaaS brands.

Think about it – getting a lead to book a demo or convert on a landing page, let alone actually buy, ultimately comes down to one thing: trust. In other words, are you a trustworthy brand?

All buyers, at the end of the day, are human. B2B buyers of enterprise software carefully evaluate SaaS providers for a reason: they want to feel like they can trust you. And there’s no better indicator of trust than leveraging social proof – the act of using client data, feedback, reviews, or sentiments – to your advantage to gain the trust of leads. So it’s no surprise that social proof is incredibly valuable to B2B companies.

Clearbit – one of the world’s largest marketing-data companies – added a testimonial to their landing pages and increased conversions by 84%!

In this Process Street article, you will learn all about what social proof is, what its benefits are, and some examples of social proof for SaaS businesses to help your company take off to new heights!

• So what is “social proof” exactly?
• The benefits of social proof marketing for SaaS companies
• 4 tips to jumpstart your social proof marketing strategy

Let’s dive in!
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“I really must go to the third floor,” Renfield insists over the other employees’ protests. “I’ve been asked to consult with the head of people management about creating an analytics team. They’re expecting me.”

One of the nearby workers grabs Renfield’s lapels and pulls him close. “You don’t understand,” the man says. “We here in the office believe that people management is…” He glances around, nervously, leans closer and whispers, “We believe they’re really… human resources!”

“Oh, that’s just assistants’ gossips,” Renfield says. “Now, really, you must let me through. I have an appointment.”

“Wait!” The office manager pushes through the crowd, waving a form above her head. “If you won’t listen, then take this W-2. It’ll protect you.” She thrusts the form into Renfield’s hand and adds, “It’s riddled with mistakes.”

The third floor is dimly lit, offices still only partially constructed, furniture still draped in plastic. No signs indicate where he should go and a sense of abandonment clings to the scent of still-wet paint. “Hello?” he calls.

A figure appears, the light flickering around them. “I bid you welcome,” they say, and Renfield notices the tappity-tap-tap of many fingers rushing over keyboards. “Listen to them, the collectors of data. What music they make! Come along,” the People Team leader instructs, gliding down the hallway toward a single shaft of light Renfield can swear wasn’t there a moment ago. “Data is the life, Mr. Renfield.”

Wait. Why are you talking about vampires again, Leks?

There is a reason, and I assure you it’s not merely a way to shamelessly shoehorn my side interests into work-related topics. (Mostly.)

For contemporary businesses, data really is the lifeblood of your company. It’s what keeps everything moving from making sure there are paper clips in the supply cabinet to getting your product into the hands of the right user. Without accurate, up-to-date data, your organization isn’t even in the running to be a successful company.

While gathering quality consumer data is essential for the contemporary organization, data analytics has another equally important role to play: people management.

There are four main categories you need to think about for an effective analytics framework: Enablers, Deliverables, Stakeholder Management, and Governance.

In this Process Street post, I’ll explain what they are, how to use them, and how to not be creepy about it. Before you know it, you’ll wonder how you ever made HR decisions before people analytics came along.

• Will you be an HR hero or an HR hooligan?
• Is it time for you to form a people analytics team?
• Isson & Harriot’s 7 Pillars of People Analytics Success
• The 4 ingredient categories of the People Analytics Effectiveness Wheel
• Power tools for your people analytics team
• A word of caution on people analytics procedures

Let’s analyze some data!
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