Truly Zoho – how doing right and capitalism coincide
The past 9 months have seen quite a rollercoaster in the tech industry. We have seen staggering profits, we continue to see stock buybacks, we have seen consolidation, mergers and acquisitions – and we have seen mass layoffs. Few of them were well handled or communicated. Even fewer showed any sign of executives taking accountability besides stating that they made mistakes during the pandemic and that they feel sorry for what they need to do now. They had simply over-hired and now need to take corrective action to stay on a ‘growth path’. One of these executives arguably took the prized company culture of regarding the employees as family to grave. What do these layoffs have in common? They were initiated to please the capital markets, i.e. shareholders and venture capitalists. The idea behind this is that layoffs is the fastest way to solve or avoid impending financial problems. However, there is mounting scientific evidence that this idea is a myth, as e.g., expressed here, here or here as summaries. There is often no financial benefit, even not after 3 years; instead, some scientists look at these layoffs as “the result of imitative behaviour [that is] not particularly evidence based” and that there are other, better ways that businesses can pursue. But, as Raju Vegesna says “customers are inherently loyal, employees are inherently loyal, investors are not. Yet, businesses are most loyal to this least loyal group of stakeholders”. Ouch! One of these better ways And, indeed, one company that pursues other avenues is Zoho. Zoho CEO and co-founder Sridhar Vembu pledged that there will be no layoffs for economic reasons, no matter what. But this isn’t...
Beyond the hype – How to use chatGPT to create value
Now, that we are in the middle of – or hopefully closer to the end of – a general hype that was caused by Open AI’s ChatGPT, it is time to reemphasize on what is possible and what is not, what should be done and what not. It is time to look at business use cases that are beyond the hype and that can be tied to actual business outcomes and business value. This, especially, in the light of the probably most expensive demo ever, after Google Bard gave a factually wrong answer in its release demo. A factual error wiped more than $100bn US off Google’s valuation. I say this without any gloating. Still, this incident shows how high the stakes are when it comes to large language models, LLM. It also shows that businesses need to have a good and hard look at what problems they can meaningfully solve with their help. This includes quick wins as well as strategic solutions. From a business perspective, there are at least two dimensions to look at when assessing the usefulness of solutions that involve large language models, LLM. One dimension, of course, is the degree of language fluency the system is capable of. Conversational user interfaces, exposed by chatbots or voice bots and digital assistants, smart speakers, etc. are around for a while now. These systems are able to interpret the written or spoken word, and to respond accordingly. This response is either written/spoken or by initiating the action that was asked for. One of the main limitations of these more traditional conversational AI systems is that they are...
How to tie CX to business success in three simple steps
In 2022, the Forrester CX Index dropped for the first time in years, with nearly twenty percent of US brands seeing a drop in customer experience. Towards the second half of 2022, an increasing number of companies fear a recession and put their spending under scrutiny. At the same time, companies still struggle to link CX projects to business outcomes and their metrics, let alone to financial metrics. In addition, Forrester predicts that also in the next few years, CX teams will lack critical design, data and journey skills. In parallel, there is an increasing number of companies that deliver software and/or services that are intended to help businesses improve their CX. In the past years, CX has established itself as a whole new category of software. Many a company has repositioned itself to become a CX vendor, examples including all major CRM vendors, but also call center specialists like Genesys. And, naturally, a good number of these new CX actors got – and get – acquired by bigger fish. A very good example of this trend is the decrease in the number of independent journey orchestration vendors or the concentration of chatbot vendors into conversational AI vendors. Of course, this list cannot be exhaustive in any case. So, clearly vendors are betting big on CX being a growth market, while their clients still struggle to justify the expense into CX. This leads Forrester to predict that twenty percent of CX programs will be stopped and the teams correspondingly disbanded and probably be merged into other parts of the organization. Why is this? Although the true differentiator of every business nowadays is not product,...