Can Enterprise Search effectively serve employees’ needs?

My toddler has an impressive collection of toys. He tries to keep his favorite ones somewhere “safe” but then he cannot find them when he wants to actually play with them. While trying to find it, we both know that the one that we are looking for is somewhere in the house and yet it remains alluringly out-of-reach since the exact places we determine to look for never have it. It’s frustrating for him to have this happen on regular basis.

Unfortunately, millions of enterprise employees feel similar frustration when they can’t find the information that they know is around them in various forms. They could be in mailing lists or in SharePoint or Box repositories, or in internal chat rooms, or on some internal wiki pages.

Realizing the potential value of unearthing information that employees need to do their jobs, companies – particularly large ones – employ enterprise search. Unfortunately, most of those engines remain poorly deployed and minimally used by the end users.

imageSo the question is why do enterprise search engines do such a poor job at engaging users whereas search outside of the corporate firewalls are part of our daily lives?
Although there are number of technical reasons, we believe the key problem is a “lack of user-orientation”. In other words, these solutions are neither attuned to the actual needs of the end users nor they understand the data itself in a meaningful way to be able to serve it in a meaningful way.

Let’s take few examples –

  1. Content and Users: Search engines’ key strength is in indexing wide ranging data types – web pages, documents, CRM systems etc. So when user searches with few keywords, search engines define success by uncovering wide-ranging data in a sequential manner based on some ranking criteria.However, not all data types are created equal. For instance, email communications are a lot more meta-data rich and time-relevant compared to documents. If used intelligently, such data specific analysis can be immensely useful in understanding how row communication relates to the end user needs.
  1. User interface:   Needless to say, we all are used to typing a simple search query (or question where there is a unique answer – e.g. “Father’s day 2015”) and expecting search engine to return “satisfactory” results. However, in a corporate context, this model is highly limiting as any one article or document is unlikely to provide a comprehensive answer in most real world scenarios.For example, when a sales rep gets into a competitive situation, a query like “MyCompany vs MyCompetitor” should surface variety of information including product differentiation, pricing, and nuggets from other similar situations. All these pieces are equally important to put together a competitive tactic to win the opportunity. A linear listing of results based on uniform ranking criteria does not do justice to needs of that sales rep.A UI that allows users to navigate through these various pieces in a consistent manner and “assist” in creating a cohesive picture would be much more effective in creating engaging user experience.And finally,
  1. User preferences and behaviors: In most of our enterprise search experience, presentation of results is “black magic”. Let’s say you searched for some information today, worked through the hits and were fortunate to find what you were looking for at the 20th You had to put the effort but you found what you were looking for!Unfortunately, say a month from now, if you are looking for the similar information through a similar query, you would still find the information deep down in the ranking.If solutions allowed ways to capture user preferences – expressed implicitly and explicitly – it would be able to return results that are a lot more aligned with what the end user needs are.

We at Nimeyo believe that to achieve the true potential of enterprise search, we need to stop viewing it through the prism of consumer search technologies.

To fulfill the promise, enterprise search products must understand not just who the user is and what role she performs in the organization but also identify optimal mechanism through which to deliver knowledge to the employee.

qPod now available on Amazon AWS marketplace!

We are delighted to announce that qPod from Nimeyo – a “self-help” knowledge system for pre- and post-sales organizations – is now available through Amazon AWS marketplace.

Why AWS?
Amazon Web Services or AWS offers reliable, scalable, and inexpensive cloud computing services.

With our qPod Saas solution exclusively hosted on AWS you can be assured of robust security and data protection guarantees provided by AWS. In addition, for those
customers who use AWS private cloud for added security and control, qPod can be deployed with a single click in their existing VPC!

We continue to strive to make qPod deployment fast, easy, and intuitive so that customers see the value of qPod within minutes of deployment.

Click to learn more


A critical piece to tribal knowledge management in enterprises


Email is the de facto form of communication in the business world. According to the market analysis group Radicati, in year 2013, 929 million corporate mailboxes generated roughly 100 billion emails every day. Moreover, despite all the talk about an imminent demise of email, corporate usage of this medium is expected to grow over coming years. Unfortunately, this most pervasive corporate application is more or less untapped by current enterprise knowledge management tools.

At an individual level, an average employee receives about 150 emails per day, among which about 50 include attachments. Further exacerbating the issue is corporate email retention policies which often conflicts with the needs to preserve corporate knowledge.

So the critical question is – how are your employees able to save and retrieve important information about products, customers, and peers? Are they able to access useful data from years before with ease? If not, then efficiency is being affected.

Nimeyo Inc. recently helped a publicly traded company with a global team of sales engineers deal with a similar issue. The company relied on email communication, particularly inter- and intra-departmental mailing lists like ask-se, ask-experts to triage and resolve customer issues. Unfortunately, the rich set of knowledge hidden in these raw email threads was unusable due to lack of technical solutions to analyse and search. This resulted in iterative and repetitive work that wasted time and effort, reducing efficiency of the team. Nimeyo’s qPod, using its email analysis engines, converted 3+ years of email content into a functional knowledge that provided superior search, usability, and mobility to the world-wide team of field engineers. Moreover, qPod provided bookmarking and personalized search for efficient knowledge retrieval. Finally, qPod continuously refreshed knowledge as new email content got generated, allowing users to stay in the medium they were comfortable with.

If your company is struggling with repetitive discussions on previously explored and resolved topics, if your email systems are in a mess, contact us and see how Nimeyo can help improve your team’s efficiency.

Our product – qPod – solves this exact problem. It is a knowledge base that seeds itself from information that is already around, and more importantly, it continuously refreshes itself as new information flows through various communication channels like email, social feeds, and chat rooms.

If your sales force can use a software that actually helps them do their job better, sign up for the free trial of qPod.

How to Boost the efficiency of the world-wide sales force

One of the most common scenarios we hear while talking to Sales and Sales Engineering teams is that

  1. They are growing fast and it is challenging to scale the sales force to meet the needs of new customers, and
  2. They are hiring new employees but it is a challenge to ramp those employees on product and customer specific technical details.

What further exacerbates the problem is that Sales and SE teams are scattered world wide. Non-HQ employees are at a further disadvantages given their inability to knock on the “expert next door”.

Obviously sales organizations are constantly looking for solutions that can help them tackle these “growing pains” by improving the collaborations and knowledge management processes. Unfortunately, the tools they employ (e.g., CRM software, Wiki pages, document repositories) just don’t work in improving the productivity of the sales reps and SEs (more detailed treatment of this topic to follow).

Introducing qPod

It is our great pleasure to introduce qPod – a self-curated, self-sustaining knowledge management system.

Yes, you read it right – it’s a system that builds itself from data that is already around it in email communications, chat rooms, product documents – and refreshes itself as new content becomes available.

Moreover, the knowledge becomes available through the channels that corporate users already use – web browser, Email client (Microsoft Outlook or Gmail web app) and mobile devices. No need to learn a new software.

We have been refining the product working with few early adopters and we believe it is ready for broader usage. If you are interested in trialing it out, sign up by sending a note to We support both on-premises as well as cloud-hosted deployment so we can get you started in no time.

Stay tuned for more details on qPod and various use cases.