Shifting gears… driving all efforts to maximise every client interaction…


Be it optimising processes or driving revenue growth, the key is focus on the client conversation!

It all started – many years back – with sales force automation which laid the foundation for companies to drive their sales processes. The challenge was daunting – managing opportunities, accounts, contacts and pipelines for sales forecasting, and the goal of sales force automation was to improve operational efficiencies. Over time, many peripheral sales processes such as lead management, quote management, territory management, strategic account management and partner relationship management were also integrated to build a single platform for managing the entire client journey. Recent innovation is looking to add predictive analytics for opportunities, business process modeling, sales-methodology overlay and vertical specific products to further optimize workflows.

But removing operating inefficiencies can rarely – on its own – deliver revenue growth; and this realisation shifted focus to sales efficiency (mostly under the head of performance or productivity) and brought in initiatives to develop sales capability. It led to the emergence of new tools and processes – all within the SFA environment – starting with sales content management (creation, curation, and analytics for usage and influence), feeding it into onboarding, coaching, role-play, training and slowly extending to applying this knowledge to specific sales situations with curated account intelligence, just-in-time training, recommended sales content and many similar functions. Increased experimentation with such tools can be seen under broad initiatives of sales enablement or sales excellence (or even the not so fancy old-but-still-relevant sales training).

It’s quite fascinating to watch these innovations. It sounds so cool, so intelligent – a system that can dynamically deliver contextual content to me, that too just when I need it. However there is one big catch. The efficacy of these targeted push solutions is highly dependent on the quality of data that exists in the system – the data needs to be accurate and timely to build the contexts and identify the co-relations, else it will end up delivering static set of pre-defined resources or running predictive analytics on an incomplete or even worse irrelevant data set. And this is where most of the current systems start to fail to deliver on the promise.

In this scenario, I am reminded of a lesson I learnt (as always the hard way) in the early days of my career – a lesson I have never been able to forget – that you can be highly efficient but continue to do the wrong thing (!) and that the measure can never be actions but has to be only-and-only outcomes.

The focus really needs to shift from efficiency to effectiveness… You can argue that many of the sales enablement solutions are designed to improve effectiveness as well… and it may even be true for simple out-of-the-box solutions where you need to deliver consistent messaging about what you do and what you offer and deal with a set of known objections. However, my experience has been that in today’s complex business scenarios, selling is not about talking of what you can offer but instead understanding the client’s pain points and challenges and often extrapolating the implicit needs from those conversations. Solutions are not static and a solution that fits one set of conditions may not be effective in another.

The key to effectiveness is to understand the situation and ask the right set of questions at the right time. It’s a challenge not just to know what to ask but to figure out what is more important and relevant in the current context.

With growing sales cycles and increased cost-of-sales, the need is to maximise every client interaction. But there is little support from the environment, which continues to be weak on managing and driving client conversations as also extracting actionable intelligence from sales interactions.

It is not hard to understand the real problem – all these systems are designed for management and there is very little for the person in the field to gain – a person whose life revolves around clients – he meets new clients and stays in touch with old clients, building relationships, understanding their needs, finding about their pain points, talking about solutions, understanding other options and in the process collecting so much of data and bits-and-pieces of market action, competition strategy and emerging innovative alternatives. All this real intelligence just sits in people’s heads and never gets shared into the systems. If it did – it would open up a plethora of options on which to respond and stimulate business decisions that can transform the win cycles.

The crux then is to capture the client conversations – accurately and in-time. This will bring the larger organization into the decision making circle and also drive these next-gen intelligent systems to drive the cycle of contextual discoveries.

Accurate and timely capture drives contextual discovery, which in turn drives dynamic responses and maximises client conversations.

But the big question – how? Hardly anyone has been able to drive client conversations into the CRM.

Arti is the co-founder of humanLearning – a fast growing UK-based technology startup – setup with an earnest desire to make the life of busy professionals simpler and more effective. hL is disrupting business workflows thru short structured and searchable videos and event-driven SaaS. Arti can be reached at Arti has spent a major part of her working life in the field trying to create new opportunities in the leading edge high-technology complex solution space and used this experience to design their new platform vyn.

vyn, a new tool, tries to address the challenge of feeding client conversations into CRM by embedding the way of selling into daily action. Centered on client conversations, it asks the right people, the right questions at the right time. Structured storyboards ensure that no important aspect is missed out and by making sure that one speaks for less than a minute, it keeps it just to the point. With short, storyboarded videos, it is now easy to capture updates, insights or any other information directly into the CRM – wherever one may be – and allow all stakeholders to participate and contribute to moving the conversation forward.

But where the tool really scores is that it slowly starts to assist the sales person in daily chores… its like a super efficient virtual assistant – that mostly leaves you alone but in between sends a few prompts – triggered on key events in the client journey – these provide timely reminders for urgent actions and make sure that you don’t miss anything. Even better, when you need it most, it guides you with simple storyboards at every step and ensures that you are fully prepared with the right set of questions and answers at the right time, and can maximise every client conversation. And of-course it makes life simpler…

[This article was first published @LinkedIn on 03 March 2017.]

Past Trends rarely lead to a new idea…

From Observing to Wondering… Design Thinking opens up a new way of looking at things!

from observing to wondering

I trained as an engineer. My experience (working with some cool designers – a few of them from frog design) quickly taught me to unlearn a few fundamental tenets of engineering practices, and instead embrace some contrasting methods from the radically different approach of design thinking. The first shift in my approach occurred in the mid-2000’s when I learnt the power of moving from a vertical (first) thinking to horizontal (first) thinking. The second shift started a few years thereafter, and it has taken me beyond the realm of conventional reasoning.

Over the years (in part due to my scientific training), I have learnt to combine deductive (top-down) reasoning i.e. applying theories and premises to specific instances, with inductive (bottom-up) reasoning, using observations to build hypothesis and theories. The focus has always been conformance to theories or hypothesis, and the goal is to discern patterns, connect dots and build correlations.

But, I have grown to believe that at times we have to go against the rational extrapolations of data and rely on anecdotal observations and instincts. Many-a-times I find that both deductive and inductive reasoning fail miserably.

In today’s era of data explosion, where we are constantly looking for past trends and data patterns, I have started to question the very goal of looking for conformance and patterns. I have started – instead – to search for those samples of data that break the pattern and wonder why? I know it disrupts conventional wisdom – but I find that it gives me space to think beyond accepted norms, anticipate new circumstances and look for new possibilities. It is quite possible that my interactions with designers has reinforced my own rebellious and contrarian attitude… and given me the confidence to break tradition and opt for design approach of ‘what if…?’ So what if I am currently starting with an incomplete set of observations… I can come up with not just one but several possible explanations. Of-course these are limited by the available information and are often based on conjecture and designed by my imaginative faculties. But it may be the starting point for a very different hypothesis, which can (of-course) be tested over time.

If I had any initial doubts, they soon eroded when I found support from a credible source – an American philosopher Charles Sanders Peirce (sometimes known as the father of pragmatism) has argued that no new idea could be proved deductively or inductively using past data and in his writings he introduces abductive reasoning, characterised as guessing and an inference to an explanatory hypothesis. He compares the different modes of inference and explains that deduction proves that something must be; induction shows that something actually is operative (it never proposes a new idea for its conclusion); abduction merely suggests that something may be (and seeks a new hypothesis to account for facts).

We have seen ourselves that we can hardly ever explain a new idea using past trends and data patterns… a new idea usually takes form when an observation does not fit into an existing model and we try to make sense of the ‘surprising’ observation by coming up with one or more explanations and slowly arriving at the best explanation.

We tend to forget that data is about past, emerging trends are about the future? And that’s where the problem with conventional thinking lies. Design thinking has extended my outlook with the what-if approach and trained me to move beyond simply observing to start imagining, wondering…

I love thinking about ideas freely… and observing them take shape!

This article is a page from my diary: UnLearning, more specifically an interesting section on ‘Embracing elements of Design Thinking’.

This article was first published at @LinkedIn on September 04, 2016.


What if sales transformation could become just another every-day project and not be a big managed initiative…?

Is this just a dream…? What if a CRM system automatically prompts me at the right time and guides me with a simple (not more than 2-3 lines) template, telling me what to do… I will always on top of the client journey! I will always know what to do, how to do and when to do…

on top of the client journey

Sales Transformation is more than deploying of new sales methodologies… its really about changing sales behaviour… and driving sustainable change… far bigger a challenge than most realise!

In recent client interactions, I have found many clients investing in expensive sales methodology trainings, setting up new workflows, building checks and balances… driving their teams to comply to newly deployed systems or processes…

There are many different sales methodologies in use – from the more widely known ones like Miller- Heiman’s Strategic Selling, SPIN Selling, Target Account Selling (TAS) etc., to a few that have their own niche following such as MEDDIC, The Challenger Sale (TCS, a successor to SPIN), Value Selling Framework, Solution Selling, SNAP Selling, Sandler, CustomerCentric Selling etc. All of these require the sales teams to adopt a structured approach to the sales cycle… expect them to get acquainted with complex decision matrices, question checklists and develop the capability to select from a vast suite of alternative scenarios…

Lots of investment in time, resources and processes is done by organisations (big and small), and yet the returns fail to match the expectations or the potential – and it always takes longer than projected! This is not from lack of commitment or motivation from the management, nor from selection of incomplete or ineffective methodologies – for each methodology has years of study, research and results that have led to its formulation and evolution. While, some methodologies focus on communication and messaging, others give more attention to important aspects of the sales process like discovery, qualification, decision criterion, decision process, and a few also cover account mapping, identifying champions and developing effective relationship maps.

The biggest stumbling block in effectively embedding these methodologies (or for that matter any new process or workflow) is the standard deployment approach – a few days of targeted intense workshop training (with tons of reference documentation to read and refer), followed by managed introduction of the new process, and setting up internal programs to drive adoption and compliance of the workflow through monitoring, tracking and regulating actions.

The reality is that however good the methodology and the supporting frameworks or worksheets, it is one thing to know what is required, a completely different thing to overcome inertia and an even a bigger ask to develop the capability to select from a vast range of options to put that into action. It is very natural to unintentionally fall back into the comfortable and tested mode of operation… and even the most effective of all monitoring and tracking is limited in effectiveness to simply managing and rewarding activity and very rarely get further down into quality or tangible results.

My personal experience has shown that the key to success is to try to embed the new methodologies into every day action. Do not simply rely on the quarterly, monthly or weekly reviews of plans, strategy or approach – big scary excel sheets, fancy blue sheets or other frameworks – as these are offline snapshot activities (and after all reviews!)… Instead enable every update, every action to automatically answer the questions and capture the information relevant to the stage of the client journey… Of-course this is easier said than done… but is achievable by supporting human intelligence with elements of collaborative intelligence and machine intelligence… support the user by giving him prompts – at the right time of the client journey – that guide him to the relevant questions… (Believe me – all sales users will love the fact that there is no need to remember the questions or the criterion or the complex matrices, or refer to offline reference tutorial to understand the definitions of confusing terminology or fill up documentation and worksheets!).

Remember that these prompts and questions cannot be big word documents or excel worksheets – that will turn off all of us… given our attention span 2-3 lines describing the question will work best… what if don’t even have to write down the answers and can instead capture the response as a short video? Well! We have our new template or worksheet – a short structured video! Where every question is just a segment in the video, and as the question is prompted we answer the question on video and move on to the next question… so a series of 3-4 questions gets recorded as a short structured video… just imagine the simplicity over all the documentation!

Is this doable? What does this require?

  • Take the client journey and map it to our own definitive stages – stages that we have identified for our custom workflow (say discovery, definition and scoping, qualification, positioning and validation, negotiation, closure etc.)
  • For each stage, building upon the methodology in use, list down the applicable questions and qualifiers (e.g. Is this an opportunity? Can we compete? Can we win? Is it worth winning?)
  • Map the questions into templates. [Each template is a set of 3-4 questions (2-3 lines max) which get encoded as segment descriptors for a structured video]
  • Identify triggers that mark the start or end of different stages and associate the templates with the triggers.
  • Integrate the triggers into the sales workflow (as simple service extensions on the CRM)
  • The occurrence of an event or a trigger will result in an automatic notification to the user, feeding him with the prompt and appropriate template

So, what does it deliver? As a user, I don’t need to refer to offline documentation or associations or supporting apps and toolkits, I simply engage with the defined process of updating client interactions in the CRM system. The process automatically activates on changed triggers or new events and notifies me (the user) on specific action, prompting me with the appropriate template to ensure full coverage of the questions to progress the opportunity or reduce the risk.

The notification acts as a natural check and reminder to engage with the process and the prompts drive the quality of client conversations… The methodology gets embedded as a way of working and requires no offline effort from the user. The underlying goal of building sales capability and moving the organisation towards consultative selling gets gradually into the social fabric of the organisation.

The improved effectiveness of sales and better understanding of client needs opens up new opportunities for accelerating business.

This is not just a concept today but tested in the field through SmartVideoNotesshort, structured and searchable video bites that are embedded into client CRM systems.

SmartVideoNotes (from humanLearning) are being used by global organisations today to drive sales transformation and embed new sales behaviour through use of customized client journey templates and associations. It is also being used for digital transformation to embed technology and innovation into everyday actions.

This article was published @LinkedIn on August 05, 2016.

Watching someone do something can make you experience it as if you are doing it yourself… hard to believe?

Sounds far-fetched! But, believe me it’s not a figment drawn from science fiction but grounded in neuroscience studies…

mirror neurons

I recently came across a reference to mirror neurons in neuroscience studies and the more I read about them the more I got intrigued…

A simple explanation suggests that there are specialised neurons (named the mirror neurons) that are seen to fire both when a person acts and when the person observes the same action performed by another – thus mirroring the behaviour of the actor, as though the observer was himself performing the action.

If this is true, then its almost as if the mirror neuron is performing a virtual reality simulation of the other person’s action… just think about the possibilities – it can start to explain simple behavioural and complex social responses… I have often wondered why most of us get so engaged and emotionally charged when we watch our favourite sports… it’s almost as if we are playing ourselves! Could it be the mirror neurons in play?

As with any new discovery it’s a subject of speculation and intense debate and while its premature for us to draw conclusions, I am personally biased by my passion for understanding how our brain adapts and using that to simplify every day activities.

The potential of the discovery in itself is enough motivation (for me) to delve deeper into the subject and the initial opinions that I have found have not yet disappointed me. (Ref. A good introduction to the subject is a TED talk  by neuroscientist Vilayanur Ramachandran where he describes his research on mirror neurons).

Most of the discussions talk about the potential role and importance of mirror neurons in two different areas – from understanding the actions of other people or empathy (where we could literally experience what others are experiencing and adopt the other’s point of view) to learning new skills by imitation (where the mirror systems simulate observed actions). The experiments show that while we can empathise and imitate other person’s action, we are still able to distinguish, eventually, that the action is not done by us since we do not get the same feedback from the sensory receptors in the skin (touch, pain etc.)

The importance of empathy and imitation is not hard to imagine in any context – from broad social and cultural contexts to dynamic business environments. As our environments become more global and we work in geographically distributed teams, our primary business interactions are centered on email, conference calls, social and collaboration tools, etc. As the opportunity to watch someone in action has notably gone down, it has inadvertently restricted the use of our natural ability of imitation and empathy in everyday interactions.

It is believed that video can fill this void – it provides an opportunity for people to observe and watch others as they speak and act… it is becoming increasingly apparent that embedding video in our interactions and work-flows in product design not just drives simplicity of action, but influences user behaviour through an increased ability to understand and empathise with others and to co-relate more effectively by imitating behaviour and skills.

I genuinely believe that by understanding what makes people act the way they do, we can design more intuitive and engaging products and interactions that match their natural way…

ps. Of-course I cannot deny that my excitement extends beyond every day social and behavioural application and I am equally fascinated by the possibility of a scientific explanation to the Indian philosophy (that I have grown up with,) that is based on the belief that there is no real independent self and we are all part of the same consciousness)… after all who knows we are all connected by neurons and we just need to dissolve the barrier of the physical self to communicate and interact – far more effectively than the current digital plane of the internet!

This article was first published @LinkedIn on May 07, 2016. 


When products are designed to fall apart…?


A couple of days back, the home button of my iPhone stopped responding… this is the second iPhone I have owned that has ended up in this state in the last 3 years… and it got me to think…

As I started to reflect on it, I started to become more and more convinced that this is by design – a clear strategy to deliberately restrict the lifespan of a product… clearly to drive the replacement cycle.

But what intrigued me the most is that this is not a new radical approach conceived by Apple, but has been successfully deployed by product manufacturers and producers for decades.

I came across an interesting story from the 1920’s where it is said that Henry Ford started to buy back scrapped Ford cars and asked his engineering team to disassemble them. Almost everyone believed that the goal was to find the parts that had failed and identify ways of making them better. On the contrary, Henry Ford asked the team to identify the parts that were still working and explore ways of re-designing these parts to cut down their life and have them fail at the same time as the others – a smart business intent to cut down the cost of design and manufacturing and avoid over-designing!

Its an out-of-the-box way of looking at things… and seems to make perfect strategy. Introducing the product lifespan as product parameter adds flexibility to the product development cycle by opening up options for exploring other constraints – not just time, cost or quality, but also technology selection, material properties, user experience, performance, processes, regulations etc.

I got so fascinated with the idea that I continued to look further and found a term planned obsolescence, that has indeed been used in the context of product design and economics… it talks of the approach that attempts to design a product with an artificially limited useful life such that it becomes obsolete or no longer functional after a certain period of time, where the driver is primarily to reduce the repeat purchase time interval i.e. shorten the replacement cycle. It appears that the light bulb was an early target for planned obsolescence when the companies standardised the life of a light bulb to 1000 hours and even went to the extent of fining producers if the light bulbs lasted longer! The strategy has found support from governments in the past and it has been used to stimulate consumption and fuel economy… but over the years it has resulted in divided camps, and in recent times there have been movements against this strategy with some countries now requiring manufacturers to declare the intended product lifespans.

As I thought about it further, it dawned on me that I was practically guilty of following the same strategy… and hence had lost the moral right to be judgemental … I realised that it can easily be argued that we (software providers) are no different and have enforced users to upgrade to new products by stopping support for older technologies, using incompatible interfaces, restricting hardware or OS support and building vendor lock-in… the intellectual production has fallen prey to the same pattern (as industrial and consumer production) of generating constant (renewed) demand for their products… creating a society that lives under the illusion of perpetually new.

In this state of mixed emotions, my view got biased by my own experience and actions… while many people argue that this belief that products are designed to fall apart is a fallacy, I have (albeit reluctantly) to disagree.

My experience of product design and development has taught me that every product design cycle involves a complex interplay between many business, technology and operational factors – from time-to-market, price points and product positioning to technology readiness, user experience, performance or resources, processes etc… and it is a reality that I have designed products with a clear view of a restricted life-span – simply using them as first generation products for early adoption and then replacing them (over time) with new product releases… which is an example in itself of designing products to fall apart (after a time)… or maybe it begins to sound more reasonable when we rephrase it and say that products are designed to work successfully for the defined lifespan and specified business goals…

Of-course, the answer is not what I wanted to hear as it means that I have to start looking for a new phone – even when I did not have the need for any new functionality… but then maybe I do not know what I am missing and may be pleasantly surprised by the ‘new’ product…

Arti is the co-founder of humanLearning ( – a fast growing UK-based technology startup – setup with an earnest desire to make the life of busy professionals simpler and more effective. hL is disrupting business workflows thru WinSight – a mobile-video based platform – that is changing the way businesses drive innovation and quality in sales and service. Arti can be reached at

[This article was first published on @LinkedIn on April 16, 2016]


If only my interaction with a machine could be Collaborative…?

I realised that most Error Messages frustrate me, some even scare me and only a very few actually guide me through the error scenario…

error scares me

Just last week, I was exploring a new software service – and incredible as it sounds – despite being a native user (and developer) of software, and having survived generations of software applications, I still panicked at the sight of a ‘big red X’ (a typical ‘ERROR’ alert) – so much so – that before I knew, I had instinctively killed the application!

That got me thinking. A simple response by a system to one of my ‘natural’ actions managed to induce a feeling of helplessness and despair, even a degree of frustration and anger – enough for me to give up. And, if I am honest then I know that I have no intention of retrying anytime soon.

I am sure that I am not an exception – many of you will have a similar experience to share – at least at some point in your interaction, with one or another system or application.

I looked further – I found research that said that there is a tendency in all of us to blame ourselves for our failure with everyday objects and systems. Surprised? Well I certainly was. Isn’t it a contradiction to our natural inclination to blame everything that goes wrong in our lives on others or our environment?

But, the underlying question that continued to bother me is simple – if I reflect on my ‘natural’ action, it was nothing but a typical ‘user behaviour’. How can user behaviours be ‘Errors’? So what are we missing?

I guess, it comes down to the product design and user experience. I know, that when I design a product, no matter how I expect users to use the product, it is a reality that, there will always be a few users who will find different and unexpected ways to use it. And a good design can neither ignore that (and hence needs to handle the unexpected), nor be restrictive to force all users to comply with a single flow (which would inherently conflict with their natural behaviour).

I started to look at the error messages that we issue under different error scenarios in our own mobile video application. We had invested a lot of time in humanising all our application messages and notifications, and were even inspired by NLP (Neuro-Linguistic Programming) – so while most had a human touch (and hence were not as scary as the big X), I realised that they still were fairly limited in guiding the user through to the next stage.

I started to look at error messages from different applications under different scenarios. I noticed that even when actual errors encountered were similar, my experience (and hence response) as a user was very different – and the difference was in the small details of how the message was communicated.

And then I remembered an old reference from the book ‘Design of Everyday Objects’, where Don Norman interestingly uses a standard interaction between two people as an example to demonstrate that effective interactions are mostly built on collaboration – where a person tries to understand and respond to the other party, and when something is not understood or is inappropriate, then it is seamlessly questioned, clarified and the collaboration continues naturally.

I guess, as a user, I am tuned to expect my interactions to be collaborative – and hence struggle when my interactions are with a machine (and not another person)… of-course they inevitably fall short! Any expectation that the user behaviour will/should change when interacting with a machine is suspect – we all know how un-adaptable we all are as a species! There is no doubt that the goal for us – as product designers – should be to build in intelligence into the machine interaction and aspire to develop a collaborative interaction between the user and the machine – i.e. when the user does something wrong, the machine should respond by providing clarification, helping the user to understand, guiding the user to continue through to the next stage – ensuring that the communication illustrates how to rectify the inappropriate action and recommend the next actions.

I know it sounds onerous. But it is not. Technology is a powerful tool and we have enough capability and building blocks now to easily build us simple collaborations and design good feedback and interaction models.

I am fascinated with this new challenge. Our goal will now be to eliminate all error messages and instead replace them with messages that aid and continually guide the user…

This article was first published on LinkedIn on January 23, 2016.

When I paid the price for forgetting that the first 5 minutes of user journey is more important than all the cool features…

user journey

I love technology and of-course I thrive on building cool features – nothing compares to the excitement of implementing highly complex algorithms or finding new ways of using the technology to solve a problem.

But many hard experiences have taught me that technology (alone) does not sell and I have over-the-years learnt to first focus on user experience and always keep the technology hidden.

So, when I started to write down the product specifications for my new startup idea, I did everything right – there was not a single word on technology and I captured the product definition through 5 stages of user journey.

[5 Minutes] captured the 1st Experience: AWARENESS

[5 Hours] focused on the 1st Use: ORIENTATION

[5 Days] looked at making it work for the user and lead to Participation: PERSONALISATION

[5 Weeks] looked at making it work for the larger group and added elements of Induction: INFLUENCE

[Ongoing] introduced capabilities to sustain the momentum: CULTURE

It was the right way to do it. We ran the user journeys with many clients and fed the inputs and preferences back. After 4 months of market validation we decided we were ready to start development.

And that’s when the problem inadvertently occurred (of-course, I never realised it at that time). As we drew out the release plan we ran through the normal cycle of chopping features and prioritised to define the feature-set for the first beta version. I believe that is when my latent love for technology overtook my experience and I selected the base feature set to include functions that demonstrated the algorithms (justifying it all by saying that these complex contextualization algorithms were our differentiator and critical for illustrating the value to the user). Nothing comes for free – to balance time and resources we decided to take a shortcut for our initial sign-up and login process. At that stage it seemed the perfect thing to do – after all its something a user does only once or at best a few times – and even if its a few extra steps or a little painful – it will still work!

Of-course it worked. But only for those true early-adopters who had the motivation to take that extra initiative and accept a few painful interactions. As our user base grew, a lot many users attempted to sign-up but never managed to get onboard. Its amazing how often it happened – and believe me that the interaction wasn’t anything demanding – it simply required them to copy an access code (sent separately) and input it as part of the sign-up. In those days, we lost a few users and for many others our client engagement teams had to invest time and run after them (and often hand-hold) to complete the process. If only we had stuck to our original definition of keeping the 1st 5 minutes interaction simple and seamless, we would not just have got a lot more people on-boarded, but also ensured that their first touch point was fail-safe.

In hindsight, it seems a blunder – how could we have ignored the fact that users had to onboard first before they could experience the cool contextual and personalisation features? There was no technical complexity to the desired sign-up process and I do not even know if we really saved that many development hours and resources. It’s more like we were avoiding working on a task that had virtually no challenges for us to fix…

What hurts me even more is that its something that I, as a Product Manager, always knew and even apportioned the right value to it at the time of conceptualisation. And yet, somewhere I still lost control on the road from concept to delivery.

This article was first published on Medium on October 27, 2015 and LinkedIn on November 21, 2015.

Reducing attention span – how I started to exploit it in today’s asynchronous world…

Less is More

I can no longer focus on a thought for long – can you? Is a short attention span really as bad as often suggested…? I don’t think so. Maybe working professionals can adapt to exploit this emerging behaviour pattern?

My attention span has fallen over the last few years. It’s a fact. Earlier I could focus and concentrate at length, now I struggle. With so much happening in today’s multi-media, always-on world if something fails to catch my attention in the first few seconds, I just drop it and jump to the next – and even then I end up with so much that I still can’t find time to look at. Some research puts the blame on our growing use of smartphones and connected networks, others on the never-ending information overload. Whatever the cause, the effect can’t be ignored.

An article some months back created excitement by announcing that a goldfish (at 9 sec) has a higher attention span than a human…

While I have found little medical validation to support this claim and hence decided that it’s premature to give up on my digitally-connected lifestyle, it certainly opened my mind to accept that I am now doing many things differently. And since the verdict is out on whether it’s good or bad, my actions are contradictory. At one extreme, I am using yoga and meditation to build concentration; on the other I am developing new operating patterns that fit better with a shorter attention span.

One important change that I am exploring is to drive a culture where information is broken into bite-sized chunks. Obvious, as it may be, believe me that it indeed is a step change. We all suffer overflowing inboxes, overly-descriptive documents and hours of conference calls. To break away from this overload and start communicating in bite-sized chunks makes us edgy… Will data be missed? Can all the facts be captured succinctly? With more pages/slides comes more extensive preparation. And so on…

But, if we stop for a moment – we all know (deep down) that hardly anyone reads big communications diligently and much of what is said is often ignored… We also know that if the key message is clear then we can ‘capture’ it simply. It’s only when we lack clarity that we waffle… and we have all seen that structuring information into multiple, easier-to-digest, pieces helps present the big picture much better.

Let’s say we succeed in getting the information broken down. Smaller pieces work well with our reduced attention spans. We don’t have to wait to free-up time; instead we can pick up chunks to fill in time-windows. We can cover a lot more in a shorter time. We can start by focusing on the key highlights – and only delve into details for areas that really deserve attention. And we can always create time for that. We can become better at filtering and prioritising – and hence act more effectively.

The shift is to move from quantity to QUALITY.

The shift is to move from activity to RESULTS.

The shift is to move from management to OWNERSHIP.

Through our innovative use of structured mobile-video, we at humanLearning have pioneered this change. Our platform ‘WinSight’ organises professionals to craft clear messages – quickly & easily – in short (30-60sec. max.), segmented, templated videos. We can now exploit small time-windows – we have tried to capture our messages as we walk out of a client meeting to the parked car, sometimes as we wait for our turn in a queue, sometimes as we travel in the train or the underground, but quite often as we walk the busy the streets. All our communication has become near real-time and yet is available asynchronously… it gives us all the independence of un-interrupted work-flows and flexibility from time-zones but still keeps us connected – more than we have ever been before!

Our belief in ‘Less is More’ may seem counter-intuitive in the age of BigData but it can evolve into the natural way of future communication – a more human way to interface & interact.

It will take time to move all the interactions to this new mantra. However, we should get started now. After all, it’s not just about survival anymore but an opportunity for working professionals to simplify their work-life by creating new, easier, quicker, more effective – asynchronous – ways of working.

This article was first published on LinkedIn on October 18, 2015  [ref.] and GrowthHackers on November 2 2015 [ref.]

I recently concluded that I learn more from Success than Failure… and yet, isn’t it ironic that we are still obsessed with learning from failure?

right or wrong

It is popular belief – especially in the startup eco-system – that failure is a stepping-stone to success. I cannot deny that this gave me a lot of confidence (and comfort) when I co-founded a technology startup, as I believed that the worst outcome (for me) would be all the great learning that I will acquire, even if we faltered on the way.

Now, after many years of living the startup journey, I have lots of learning – both good and bad. But, being true to the spirit of learning from failure, I always diligently record everything that doesn’t work. I even look at it often, analyse it sometimes, and consciously try not to follow the same approach again. But then everything changed one day…

It was just one of those days when I was flustered – I was looking for answers and I was getting irritated as I realised that for every previous effort that had failed, I only knew what did not work. But I still had no clue of what would work? I asked myself – how effective is that learning – if I still have to go back to the drawing board and continue the search for answers on how to make it work? I was not very upbeat as I had gone through the process once and failed to find the answer, and what was the guarantee that the second search would be any more fruitful?

In that state of exasperation, I happened to come across an interesting neuroscience research that suggested that brain cells only learn from experience when we do something right and not when we fail. I was intrigued.

I wondered if I could correlate it with my own personal experience – so I tried to test the theory on the problem at hand. Our mobile-video based service for sharing experiences, stories and insights is deployed across 25+ countries in Europe. Most groups are very actively engaged, but few still require constant nudges. All our discussion around driving adoption in the low-activity groups has always focused on what wasn’t working for these groups. That day we changed our outlook – we instead discussed everything that was working for the high-activity groups. We uncovered simple observations and found interesting patterns. We realised that we just had never bothered to re-apply this successful learning back into the groups that required external stimuli.

That was the day I realised, that my obsession with learning from failure meant that I was simply – taking for granted – everything that was working for us. Here was an opportunity for us to focus on the success and build upon it – I knew what worked and I could make it happen again, maybe even do it much better. And yet I was spending more of my time in learning from failures. Why? It made no sense.

I am now a convert. I now track our successes as much as (if not more) than the failed attempts. Of-course I know that I need to be cautious and ensure that I am not blinded by success. More importantly I am cognisant that I need to continuously strive to do better than the last success. And, of-course it also does not mean that I overlook failures – but I now look at them in the right context.

Learn from success is my new mantra! I realise that the need is not to glorify success – but to recognize core strengths and convert them into strategic assets. Just as it is important to manage our weaknesses, we also need to diligently work on developing our strengths. And believe me – it is harder to focus on strengths, far much easier to lapse into failures, regrets, emotions.

This article was first published on LinkedIn on September 13, 2015 [ref.]

Arti is the co-founder of humanLearning – a fast growing UK-based technology startup – setup with an earnest desire to make the life of busy professionals simpler and more effective. humanLearning is disrupting business work-flows thru WinSight – a mobile-video based platform that empowers ‘every’ professional to benefit from each other’s experiences & insights in the easiest, fastest and most impactful way. 

A new National Highway: Virtual Connectivity to override Physical Infrastructure in India


Can Aadhaar evolve into a virtual connectivity infrastructure that drives a seamlessly connected society? What if Aadhaar gears up to be India’s answer to its painstakingly slow progress in building physical highways and infrastructure.

Aadhaar is a unique identification initiative launched by the Government of India under its planning commission. It is an ambitious project of using basic IT technology (databases, computing) and connectivity (fixed or mobile) to create a dynamic online identity system. The integration of biometric technology has provided an advanced and secure capability of authentication. This has further been extended by integrating payment platforms and providing an unified system of real-time identity, authorization and payment transaction support.

The vision outlined by the government lays emphasis on social & financial inclusion. As the first step, authorization and payment services are being used to drive delivery of distribution and transaction based services. Initial pilots have focused on social and welfare schemes such as Public Distribution Systems, LPG distribution & subsidy management, old-age pension distribution etc. In the next phase, applications could extend usage from authorization to access control or location/presence and drive services that are as simple as attendance to more dynamic deployment of resources based on current location of users. The scenarios are only limited by our imagination.

However, for true momentum to be built up, the initiative has to garner the industry attention and evolve to provide value to encourage adoption by businesses and enterprises.  This will not just lead to a massive build-up of Aadhaar-enabled services but also provide the impetus to propel it out of the current orbit to the next level of growth.

This evolution will need to be centered around 3 core areas – (1) Extending its application beyond social welfare into businesses (2) Introducing Support for Analytics – analytics could be used for converting raw data into value-added user/service context or applied to intelligence-driven operations (3) Inter-linkages with other databases and systems for seamless connectivity.

Data has been touted as the new oil of the connected world. However, our experience has taught us that data has no value unless it is acted on and converted into meaningful actions. Its only when the monetization potential is realized that it will drive social change.

The question for all of us – can this infrastructure be exploited to compensate for the lag in physical infrastructure investments? A nation that has been recognized for its extensive reserves of IT resources should not falter in playing to its strength in IT – we should be investing in creating an unprecedented scale of connected applications cut across both social and industrial sectors and use the virtual connectivity to open up reach as well as delivery. This could be the one area where we outpace every other nation & challenge the perceived dominance of other emerging nations like China.