Achieving digital transformation through RPA and process mining

Understanding what you will change is most important to achieve a long-lasting and successful robotic process automation transformation. There are three pillars that will be most impacted by the change: people, process and digital workers (also referred to as robots). The interaction of these three pillars executes workflows and tasks, and if integrated cohesively, determines the success of an enterprisewide digital transformation.

Robots are not coming to replace us, they are coming to take over the repetitive, mundane and monotonous tasks that we’ve never been fond of. They are here to transform the work we do by allowing us to focus on innovation and impactful work. RPA ties decisions and actions together. It is the skeletal structure of a digital process that carries information from point A to point B. However, the decision-making capability to understand and decide what comes next will be fueled by RPA’s integration with AI.

From a strategic standpoint, success measures for automating, optimizing and redesigning work should not be solely centered around metrics like decreasing fully loaded costs or FTE reduction, but should put the people at the center.

We are seeing software vendors adopt vertical technology capabilities and offer a wide range of capabilities to address the three pillars mentioned above. These include powerhouses like UiPath, which recently went public, Microsoft’s Softomotive acquisition, and Celonis, which recently became a unicorn with a $1 billion Series D round. RPA firms call it “intelligent automation,” whereas Celonis targets the execution management system. Both are aiming to be a one-stop shop for all things related to process.

We have seen investments in various product categories for each stage in the intelligent automation journey. Process and task mining for process discovery, centralized business process repositories for CoEs, executives to manage the pipeline and measure cost versus benefit, and artificial intelligence solutions for intelligent document processing.

For your transformation journey to be successful, you need to develop a deep understanding of your goals, people and the process.

Define goals and measurements of success

From a strategic standpoint, success measures for automating, optimizing and redesigning work should not be solely centered around metrics like decreasing fully loaded costs or FTE reduction, but should put the people at the center. To measure improved customer and employee experiences, give special attention to metrics like decreases in throughput time or rework rate, identify vendors that deliver late, and find missed invoice payments or determine loan requests from individuals that are more likely to be paid back late. These provide more targeted success measures for specific business units.

The returns realized with an automation program are not limited to metrics like time or cost savings. The overall performance of an automation program can be more thoroughly measured with the sum of successes of the improved CX/EX metrics in different business units. For each business process you will be redesigning, optimizing or automating, set a definitive problem statement and try to find the right solution to solve it. Do not try to fit predetermined solutions into the problems. Start with the problem and goal first.

Understand the people first

To accomplish enterprise digital transformation via RPA, executives should put people at the heart of their program. Understanding the skill sets and talents of the workforce within the company can yield better knowledge of how well each employee can contribute to the automation economy within the organization. A workforce that is continuously retrained and upskilled learns how to automate and flexibly complete tasks together with robots and is better equipped to achieve transformation at scale.


Source: Tech Crunch

Trump’s new lawsuits against social media companies are going nowhere fast

Trump’s spicy trio of lawsuits against the social media platforms that he believes wrongfully banned him have succeeded in showering the former president with a flurry of media attention, but that’s likely where the story ends.

Like Trump’s quixotic and ultimately empty quest to gut Section 230 of the Communications Decency Act during his presidency, the new lawsuits are all sound and fury with little legal substance to back them up.

The suits allege that Twitter, Facebook and YouTube violated Trump’s First Amendment rights by booting him from their platforms, but the First Amendment is intended to protect citizens from censorship by the government — not private industry. The irony that Trump himself was the uppermost figure in the federal government at the time probably won’t be lost on whoever’s lap this case lands in.

In the lawsuits, which also name Twitter and Facebook chief executives Jack Dorsey and Mark Zuckerberg as well as Google CEO Sundar Pichai (Susan Wojcicki escapes notice once again!), Trump accuses the three companies of engaging in “impermissible censorship resulting from threatened legislative action, a misguided reliance upon Section 230 of the Communications Decency Act, and willful participation in joint activity with federal actors.”

The suit claims that the tech companies colluded with “Democrat lawmakers,” the CDC and Dr. Anthony Fauci, who served in Trump’s own government at the time.

The crux of the argument is that communication between the tech companies, members of Congress and the federal government somehow transforms Facebook, Twitter and YouTube into “state actors” — a leap of epic proportion:

“Defendant Twitter’s status thus rises beyond that of a private company to that of a state actor, and as such, Defendant is constrained by the First Amendment right to free speech in the censorship decisions it makes.”

Trump’s own Supreme Court appointee Brett Kavanaugh issued the court’s opinion on a relevant case two years ago. It examined whether a nonprofit running public access television channels in New York qualified as a “state actor” that would be subject to First Amendment constraints. The court ruled that running the public access channels didn’t transform the nonprofit into a government entity and that it retained a private entity’s rights to make editorial decisions.

“… A private entity… who opens its property for speech by others is not transformed by that fact alone into a state actor,” Justice Kavanaugh wrote in the decision.

It’s not likely that a court would decide that talking to the government or being threatened by the government somehow transform Twitter, YouTube and Facebook into state actors either.

Trump vs. Section 230 (again)

First Amendment aside — and there’s really not much of an argument there — social media platforms are protected by Section 230 of the Communications Decency Act, a concise snippet of law that shields them from liability not just for the user-generated content they host but for the moderation decisions they make about what content to remove.

In line with Trump’s obsessive disdain for tech’s legal shield, the lawsuits repeatedly rail against Section 230. The suits try to argue that because Congress threatened to revoke tech’s 230 protections, that forced them to ban Trump, which somehow makes social media companies part of the government and subject to First Amendment constraints.

Of course, Republican lawmakers and Trump’s own administration made frequent threats about repealing Section 230, not that it changes anything because this line of argument doesn’t make much sense anyway.

The suit also argues that Congress crafted Section 230 to intentionally censor speech that is otherwise protected by the First Amendment, ignoring that the law was born in 1996, well before ubiquitous social media, and for other purposes altogether.

For the four years of his presidency, Trump’s social media activity — his tweets in particular — informed the events of the day, both nationally and globally. While other world leaders and political figures used social media to communicate or promote their actions, Trump’s Twitter account was usually the action itself.

In the shadow of his social media bans, the former president has failed to re-establish lines of communication to the internet at large. In May, he launched a new blog, “From the Desk of Donald J. Trump,” but the site was taken down just a month later after it failed to attract much interest.

The handful of pro-Trump alternative social platforms are still struggling with app store content moderation requirements at odds with their extreme views on free speech, but that didn’t stop Gettr, the latest, from going ahead with its own rocky launch last week.

Viewed in one light, Trump’s lawsuits are a platform too, his latest method for broadcasting himself to the online world that his transgressions eventually cut him off from. In that sense, they seem to have succeeded, but in all other senses, they won’t.


Source: Tech Crunch

For successful AI projects, celebrate your graveyard and be prepared to fail fast

AI teams invest a lot of rigor in defining new project guidelines. But the same is not true for killing existing projects. In the absence of clear guidelines, teams let infeasible projects drag on for months.

They put up a dog and pony show during project review meetings for fear of becoming the messengers of bad news. By streamlining the process to fail fast on infeasible projects, teams can significantly increase their overall success with AI initiatives.

In order to fail fast, AI initiatives should be managed as a conversion funnel analogous to marketing and sales funnels.

AI projects are different from traditional software projects. They have a lot more unknowns: availability of right datasets, model training to meet required accuracy threshold, fairness and robustness of recommendations in production, and many more.

In order to fail fast, AI initiatives should be managed as a conversion funnel analogous to marketing and sales funnels. Projects start at the top of the five-stage funnel and can drop off at any stage, either to be temporarily put on ice or permanently suspended and added to the AI graveyard. Each stage of the AI funnel defines a clear set of unknowns to be validated with a list of time-bound success criteria.

The AI project funnel has five stages:

Image Credits: Sandeep Uttamchandani

1. Problem definition: “If we build it, will they come?”

This is the top of the funnel. AI projects require significant investments not just during initial development but ongoing monitoring and refinement. This makes it important to verify that the problem being solved is truly worth solving with respect to potential business value compared to the effort to build. Even if the problem is worth solving, AI may not be required. There might be easier human-encoded heuristics to solve the problem.

Developing the AI solution is only half the battle. The other half is how the solution will actually be used and integrated. For instance, in developing an AI solution for predicting customer churn, there needs to be a clear understanding of incorporating attrition predictions in the customer support team workflow. A perfectly powerful AI project will fail to deliver business value without this level of integration clarity.

To successfully exit this stage, the following statements need to be true:

  • The AI project will produce tangible business value if delivered successfully.
  • There are no cheaper alternatives that can address the problem with the required accuracy threshold.
  • There is a clear path to incorporate the AI recommendations within the existing flow to make an impact.

In my experience, the early stages of the project have a higher ratio of aspiration compared to ground realities. Killing an ill-formed project can avoid teams from building “solutions in search of problems.”

2. Data availability : “We have the data to build it.”

At this stage of the funnel, we have verified the problem is worth solving. We now need to confirm the data availability to build the perception, learning and reasoning capabilities required in the AI project. Data needs vary based on the type of AI project  —  the requirements for a project building classification intelligence will be different from one providing recommendations or ranking.

Data availability broadly translates to having the right quality, quantity and features. Right quality refers to the fact that the data samples are an accurate reflection of the phenomenon we are trying to model  and meet properties such as independent and identically distributed. Common quality checks involve uncovering data collection errors, inconsistent semantics and errors in labeled samples.

The right quantity refers to the amount of data that needs to be available. A common misconception is that a significant amount of data is required for training machine learning models. This is not always true. Using pre-built transfer learning models, it is possible to get started with very little data. Also, more data does not always mean useful data. For instance, historic data spanning 10 years may not be a true reflection of current customer behavior. Finally, the right features need to be available to build the model. This is typically iterative and involves ML model design.

To successfully exit this stage, the following statements need to be true:


Source: Tech Crunch

Demand Curve: 10 lies you’ve been told about marketing

The harsh truth: Some of the advice you read about marketing is incorrect.

While not always intentionally misleading, you’re often absorbing content written by:

  • Marketers without a breadth of experience: People who’ve marketed a single product and have a limited — or biased — view on a channel.
  • Non-practitioners: People who’ve never run experiments, but pass along (sometimes outdated) marketing insights that they’ve read online.

After running thousands of experiments for brands like Microsoft, Segment and Perfect Keto, here are 10 significant lies we’ve realized you’ve been told about marketing (on email marketing, ads and referrals).

1. “Send a welcome email immediately after signup.”

It’s better to avoid sending emails right after people sign up on your site. We’re used to getting generic, unimportant welcome emails every time we sign up for anything online. So most people will reflexively discard your welcome email as spam.

Instead, try delaying your welcome email by 15 to 45 minutes.

The delay removes the subscriber’s mental connection between signup and your email, bypassing the reflex to ignore.

As a result, you’ll likely get more opens and more engagement.

2. “Only highlight your best product reviews.”

For context, reviews are a big deal:

  • 93% of consumers claim product reviews impact purchase decisions.
  • The social proof of having 50+ product reviews increases conversion. Shoppers trust peers more than they trust brands.

But imperfect reviews can generate more sales than five-star ones. How?

When a partially negative review weighs your cons versus your pros and concludes that the product was worth purchasing anyway, that sounds authentic and honest.

In contrast, strings of flawless five-star reviews don’t signal authenticity. Psychologically, they’re less likely to sink in as positive social proof.

Here’s what you can do:

  • Make sure your post-purchase email flow contains a request for reviews. The more reviews you have, the better.
  • Don’t bury slightly negative reviews. If someone leaves a four-star review and offers a fair (and insignificant) critique, showcase it toward the top of your product page.

3. “You have to send a newsletter every week.”

Most newsletters shouldn’t be sent weekly. This goes against what most creator economy entrepreneurs suggest.

But high cadences force newsletter writers to rush and publish lower-quality information to hit self-imposed deadlines.

Instead, consider only sending when you truly have value to add. At a minimum, consider setting a more reasonable cadence like once or twice a month so that you’ll have enough time and content to consistently hit a high-quality bar.


Source: Tech Crunch

Osso VR raises $27 million to turn surgery into a video game

Virtual reality did not turn into the ultimate office replacement telepresence machine during the pandemic — and it wasn’t for lack of trying — but some startups focused on employee training in VR have found added validation in the past year as professionals across industries were forced to access institutional knowledge in remote settings.

Osso VR, a San Francisco-based virtual reality startup focused on medical training, has piqued investor attention as they’ve bulked up on partnerships with medical devices powerhouses like Johnson & Johnson, Stryker and Smith & Nephew during the pandemic. The startup tells TechCrunch they’ve recently closed $27 million in Series B funding led by GSR Ventures with additional participation from SignalFire, Kaiser Permanente Ventures and Anorak Ventures, among others.

CEO Justin Barad tells TechCrunch that the pandemic “created an intense level of urgency” for the startup as customers found new demand for their platform.

Osso VR is looking to upend modern surgical instruction with a virtual reality-based solution that allows surgeons to interact with new medical devices in 3D space, “performing” a surgery over and over on a digital cadaver from the comfort of anywhere they have enough room to stretch out their arms. Osso’s efforts are particularly useful to its medical device customers who can use the platform to boost familiarity with their solutions while helping surgeons gain proficiency in implanting them.

One of the startup’s broader aims is to bring video games’ multiplayer mechanics into the virtual operating room, allowing surgeons and medical assistants to collaborate in real-time so they not only know their responsibility but how they fit into the whole of each operation.

“It’s a lot like a symphony, everyone has a different role to play and you need to communicate with each other.” Barad says.

It’s a process that needs virtual reality’s spatial breadth, Barad notes, though instruction is always supplemented by text and videos as well.

Barad calls the startup’s aim “something unambiguously good,” a quality which has helped the team poach talent as it has scaled to some 100 employees, which includes what he claims is the world’s largest team of medical illustrators. That team has helped scale the platform’s content to more than 100 modules spanning 10 specialties.

Virtual reality founders have struggled in recent years to coax investor attention as consumer and enterprise uptake has proven slower than the early wild ambitions for the technology. In its stead, investors have looked more towards bets on adjacent technologies like gaming and computer vision that don’t require the specialized head-worn hardware. Osso VR’s platform runs on Facebook’s Oculus Quest 2 headset through the company’s Oculus for Business program.


Source: Tech Crunch

Pakistan’s growing tech ecosystem is finally taking off

Pakistan, the world’s fifth most populous country, has been slow to adapt to the internet economy. Unlike other emerging economies such as China, India and Indonesia, which have embraced digitization and technology, Pakistan has trailed the region in the adoption of technology and startup formation.

Despite this, investors have dreamed for years of the huge opportunities in unlocking Pakistan’s potential as a digital economy. As a country of 220 million people, almost two-thirds of whom are under the age of 30, Pakistan draws natural comparisons to Indonesia — which has rapidly emerged as one of the most vibrant technology ecosystems outside the U.S. and China.

In 2021, Pakistani startups are on track to raise more money than the previous five years combined.

After years of lagging behind, over the course of the past 18 months, Pakistan’s technology ecosystem has come to life in unprecedented fashion. In 2021, Pakistani startups are on track to raise more money than the previous five years combined. Even more excitingly, a large portion of this capital is coming from international investors from across Asia, the Middle East and even famed investors from Silicon Valley.

Image Credits: Mikal Khoso

The rapid emergence of Pakistan’s technology ecosystem on the international stage has been no accident — it’s the result of a confluence of changing facts on the ground and shifting dynamics in the startup and investing world as a result of the pandemic.

Unlocking Pakistan’s potential

The sudden emergence of Pakistan’s tech ecosystem on the international stage has been driven by three major factors: an improving security situation, quickly growing mobile connectivity, and critical legal changes and deregulation.

As a frontline state and coalition partner in the United States’ invasion of Afghanistan, Pakistan saw fatalities from terrorist violence soar from 295 in 2001 to a peak of over 11,000 in 2009. This climate of instability and violence scared away international business and investors from Pakistan for much of the first two decades of the 21st century.


Source: Tech Crunch

Announcing the startups pitching at TC Early Stage

This Thursday and Friday, TechCrunch will host Early Stage – a virtual bootcamp for early stage founders. After the success of the spring event, on Friday, TC will feature 10 phenomenal early-stage startups to on the virtual stage. Hailing form around the States and the globe, founders will pitch on live, for five minutes, followed by an intense Q&A with our expert panel of judges.

The judges for this pitch-off will be Ben Sun (Primary Venture Partners), Doug Landis (Emergence Capital), Leah Solivan (Fuel Capital) and Shardul Shah (Index Ventures).  Unlike last time, there will be no final round. Each company will only have one chance to impress the judges and the audience!

Alright, alright. I know you want to see who made the cut. Join us on Friday, July 9th to watch the second ever TC Early Stage Pitch-Off. Let’s take a look:

Session 1: 9:00 a.m. – 9:50 a.m. PDT

Mi Terro (City of Industry, CA, USA) – “The world’s first advanced material company that partners with food companies and farmers to create home compostable, single-use plastic-alternative packaging materials made from plant-based agricultural waste – this is a first-of-its-kind approach.

Press Sports App (Atlanta, GA, USA) – A lifelong sports social network for athletes from all levels and sports. Their deeply engaged community is creating system of record starting at the amateur level that has never been built before.

Snowball Wealth (San Francisco, CA, USA) – Provides personalized guidance to pay off debt and build wealth for the 30M women+ in America with student debt. Snowball provides users with a free student loan plan, which helps users save an average of $6K. They’re expanding to include a financial roadmap that’s community-driven and personalized so women+ can build wealth even as they pay down their debt.

My Expat Taxes (Vienna, Austria) – MyExpatTaxes is the leading U.S. expat tax software that guides users through the tax filing process faster and more affordable than any other competitor in the industry. It automates international tax treaties and expat tax benefits, helping U.S. expats stay compliant and claim thousands of dollars in refunds.

Speeko (Chicago, Illinois, USA) – AI-powered feedback on your voice in areas like pace, fillers, inclusivity, conciseness, and enunciation. Based on your speaking style, you’re matched with interactive exercises, courses, and vocal warm-ups. It’s like a gym membership for your voice, where you build muscle memory for speaking clearly and confidently.

Session 2: 10:10 a.m. – 11:05 a.m. PDT

Universal Prequal (Marlboro, NJ, USA) – Helps construction companies effectively manage risk by enabling them to find and vet qualified project teams capable of doing the work. Instead of the paper-intensive, time-consuming, expensive approach that exists throughout the industry today, our solution is online, easy-to-use, and cost-effective. Customers will know us as the national resource for managing risk based on comprehensive, reliable construction information.

T2D2.ai (New York City, NY, USA) – Provides continuous AI and computer vision-driven monitoring of buildings, bridges and other infrastructural assets. The T2D2 portal and dashboard gives asset owners and managers a detailed picture of all visible damage conditions – rank ordered by severity and geo-tagged for location information, so they can focus preventative maintenance efforts and avoid higher downstream repair costs as well as potential safety issues.

Boomerang (Sao Paulo, Sao Paulo, Brazil) – A marketplace for consumer goods rental. We connect retailers, brands, and rental stores with customers that just want to use a product instead of owning it. For suppliers, Boomerang is a plug-and-play rental platform offering logistics, insurance, and online payments solution.

Stash Global (Wilmington, DE, USA) – Turned the most damaging cyber-attack of all, ransomware, into just another business problem that can be solved with the click of a button – without paying a cent (or cyber coin) of ransom. The No Ransom Ransomware Solution does it all: restores files; prevents access of frozen file content by attackers; eliminates ransom extortion.

Vyrill (San Francisco, CA, USA) – With the most powerful AI driven, in-video search, Vyrill is a fan video discovery, insights and content marketing platform enabling brand marketers to supercharge brand awareness and revenue with fan led content such as video reviews, unboxing, how-to videos and more. Vyrill is a Google for fan video and creators, capturing who, what, where and when –inside millions of videos.”

Winner Announcement: 11:30 a.m. PDT


Source: Tech Crunch

Verizon demos THOR, its new vehicle for frontline rapid humanitarian response

The increasingly intense heats bearing down feverishly across the globe are accelerating the number, scale, and complexity of disasters worldwide. Just in the past few weeks, we have seen record heat in the United States Pacific Northwest that has led to hundreds of deaths — with more heat on the way.

Heat waves, wildfires, hurricanes, typhoons and many other types of weather-related disasters create huge challenges for infrastructure providers like energy utilities and telecoms, who have to keep uptime as close to 100% as possible for their customers even in the midst of some of the most challenging environments humans have ever witnessed.

To that end, Verizon (which, as a reminder, is the ultimate parent company for TechCrunch for now) announced today the first demo unit of what it dubs its THOR vehicle, for Tactical Humanitarian Operations Response. Designed on top of a Ford F650 pickup truck chassis, THOR is designed to provide highly mobile and resilient connectivity to frontline responders and citizens through wireless technologies like 5G Ultra Wideband and satellite uplinks.

Verizon’s THOR vehicle can deploy wireless technologies like 5G and satellite uplinks to rapidly deploy connectivity to frontline responders. Image Credits: Verizon

The company developed the prototype in partnership with the Department of Defense’s NavalX and the SoCal Tech Bridge, and unveiled the prototype last week at Marine Corps Air Station Miramar, just north of San Diego.

In addition to wireless connectivity, THOR can also potentially deploy a variety of drone capabilities. For instance, a vehicle could deploy a drone for search and rescue operations, or to help augment firefighters with intelligence on how a wildfire is developing over time.

As I discussed a few weeks ago, telcos like Verizon, AT&T and T-Mobile are increasing spending on a variety of resiliency initiatives, ranging from the rapid staging of mobile wireless equipment to novel solutions like AT&T’s FirstNet One, a dirigible capable of flying near a disaster zone to offer wireless services.

DisasterTech, as I have been dubbing it, has been gaining more attention of late from investors and companies both big and small as governments, the private sector, insurers, and individuals have to confront and respond to the intensifying nature of storms globally.


Source: Tech Crunch

Twitter shares its ideas around new privacy features, including a way to hide your account from searches

Twitter today has shared a few more ideas it’s thinking about in terms of new features around conversation health and privacy. This includes a one-stop “privacy check-in” feature that would introduce Twitter’s newer conversation controls options to users, and others that would allow people to be more private on the service, or to more easily navigate between public and private tweets or their various accounts.

Of these, the privacy check-in feature would probably be of most use, as Twitter’s recent spurt of innovation has also made the service more complex. Over time, a centralized destination — like Google’s or Facebook’s Privacy Checkup where users can adjust their privacy controls — could become a valuable addition.

Twitter’s privacy check-in feature would walk users through a series of questions that help them think about how public or private they want to be on Twitter’s platform. For example, they could choose whether everyone can see their tweets or not, who’s allowed to send them direct messages, or who can tag them in photos.

Other new ideas under consideration include a tweak to the Compose screen to better highlight which account you’re posting from (and if it’s public), as well as another feature that would add reminders that appear when you reply to someone from a private account. The reminder would alert you that the account wouldn’t be able to see your response because your account is currently set to “protected.” It would also provide a tool to switch your tweets to public so you can participate in the conversation.

One of the more interesting concepts being considered, however, is related to your discoverability. Often, when someone is being harassed by a group, it begins to attract even more unwanted attention. While the user could report the trolls for abuse, it won’t immediately stop their attacks. To deal with this sort of troll brigade, some users set their account to private or delete their Twitter account altogether.

Twitter’s potential new feature would offer a third option: making your account hidden. Users could be alerted to the increase in negative attention their account was receiving through a push notification and then be pointed to new privacy controls that would let them disable the ability for other Twitter users to find them through search. One toggle would disable people from finding your account by searching for your username while another would disable the account from being recommended under the “Who To Follow” feature. You could also set time limits on how long you want these options disabled, in case you want to hide for a certain amount of time.

Twitter says these are, for now, just ideas — not features being built. It wants to hear from the Twitter user community what they think, and then weigh that feedback before going forward.

The company has been posting several other design concepts like this in recent days, including, just last week, a few new ideas about tweeting only to friends or using different personas, among other things. Earlier this month, the company also showed off concepts around a potential “unmention” feature that would let users untag themselves from others’ tweets.

As of yet, Twitter hasn’t made any decisions on which, if any, of its new concepts will be turned into real-world features. But they stand as another example of a company that’s been re-enegrized after years of stagnation to become more innovative, and at a much faster pace. Late last year, for example, Twitter launched its Stories product called Fleets to all users. It has since rolled out or is soon rolling out a number of significant new products, including its audio networking service Twitter Spaces, a crowd-sourced factchecker Birdwatch, a premium subscription called Twitter Blue, newsletters from Revue, a tip jar, and a creator subscription called Super Follow, which just opened applications.


Source: Tech Crunch

What I learned the hard way from naming 30+ startups

There’s a lot wrapped up in a name: feelings, emotions, connotation, unconscious bias, personal history. It’s an identity — it gives something meaning and importance.

In leading marketing and brand at High Alpha, I think about naming quite a bit. As a venture studio, we co-found and launch five to 10 new software startups every year. It is my team’s responsibility to create and build out the brands for all the new companies we start, including everything from naming and domain acquisition to brand identity and websites. Over the past five years, we’ve named more than 30 software startups at High Alpha.

Over the past five years, we’ve named more than 30 software startups.

As a soon-to-be first-time parent, the idea of naming has taken on a whole new meaning and importance in my life. Even though I help name new companies for a living, I now fully understand the paralysis that often comes when faced with the task of deciding the name for someone or something that’s especially important to you.

Because of this, I’ve always tried to take an objective, pragmatic approach to naming a company with our CEOs and other startups. Naming is an incredibly difficult and nuanced process. It’s fraught with subjectiveness and personal preference. And to top it all off, most founders have zero (or very little) experience in naming.

The truth is that business names fall on a bell curve — you have a small number of outliers that actively contribute to your success and a small number of outliers that actively impair your ability to succeed. The vast majority, though, fall somewhere in the middle in their impact on your business.

So, how should a founder go about effectively naming their baby startup and not picking a name that will hurt them? I’m sharing my own criteria and lessons for how to go about naming your startup, how to evaluate a company name and what makes for a good company name.

Is the name ownable?

As a founder, one of the first criteria to look at is ownability and URL availability. Nowadays, you’ll be hard-pressed to find a name where the .com is still available. I oftentimes will look at .io, .co, get_______.com, or _____hq.com as my top alternatives to a .com, but I always still prefer if the .com is potentially attainable in the future. It may be parked by a domain investor or someone asking a ridiculous price, but that’s always better than an established business using your .com. If not, you will always be fighting a search battle with some other brand that owns your .com.

This goes much further than just the availability of the coveted .com domain, though. You should evaluate the competitiveness and search congestion around your branded keywords. A company named “Apple” or “Lumber” is going to have a really hard time competing for search placements, even if they don’t sell computers or building supplies. An established name and word is also going to come with existing connotations and previous experiences in your audience’s mind. You want a name free from as much baggage as possible so you can easily build your own connotations and memories.


Source: Tech Crunch