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Showing posts with the label Software product

Principles for developing systems that are anti-fragile

I have been trying to make sense of what anti-fragility means and how do I use that in my day job. As a Business Principal, I tend to work with the abstract but orchestrate a program of work that needs details. This makes my job a little difficult in the terms of designing for more self-preserving systems that preserve the spirit of the abstracted strategy or vision. I came across an article from Daniel Russo on anti-fragility and his attempt at creating a manifesto similar to the manifesto for agile software development. For more reading on Daniel Russo, here is his profile:  http://djrusso.github.io More reading from his paper here:  https://www.sciencedirect.com/science/article/pii/S1877050916302290 This post is an attempt for me to understand what goes into developing a program that uses every opportunity to strengthen itself and achieve its objective - the vision.  I liked the approach of principles for developing systems that are anti-fragile. It i...

Crystal Ball - How you can efficiently manage team productivity

Before I jump into the topic, I will start with some context. We were working on a very complex product - Complexity in multiple dimensions. As a team, We needed a simple way for us to understand how we manage complexity as team scales and use it as a simple communication tool.  To generalise: Context: A complex project A fairly large team High Volatility Product Engineering team Challenges A way to manage complexity as a team Tool for communication on progress  A mechanism to calibrate progress with the bigger roadmap Crystal Ball Crystal Ball is a simple tool for visualising progress on a granular scale. It helps in tracking progress and for teams to look at what they can achieve going forward.  It helps in internalising the progress that the team made in the past few weeks and then relate to it as they plan forward. How we used it Our team was fairly big - a 7 pair dev team with 3 Was , 1 BA and a PM. We also had an XD and...

Being sensible with sensitivity

One of my first projects as a scrum master was to develop a product that would be used by teenage girls and mothers who are afraid of an unexpected pregnancy. I had to work with my clients on this project that was sensitive in nature on multiple grounds. Sensitivity #1: I was working with women on a topic related to measuring menstrual cycles and ovulation periods. It is not easy for people in India to hear a guy talk about menstrual cycles so openly. I had to balance between being sensible on how do we treat the entire topic as an objective discussion to shape the product while at the same time not seem like turning women into objects. It was a tight rope but we did it. Sensitivity #2: This was a realm that fell between medical and religious. The stand that the product took was not overtly endorsed by the medical fraternity in India. It was a new methodology that had data that was not collected by medical fraternity and hence concerns were there. This was a blessing ...

Designing for Accessibility

The software world has starting being more inclusive. After serving only the geeks and the techies, a lot of the software that is produced in this world has started looking at how it can be mor euseful. One of the key constituencies of software usage is people with disability. The ADA (Americans with disability Act) has forced a lot of the software developers to look at this issue. The software world has also responded sensitively and with care making as much of the software usable by people with disability. One of the key components that we are looking at in this are people with visual impairment. Over a period of time, a lot of the software has made sure that the user experience is adjusted in such a way that is is intuitive. Google has been a front runner in this and a lot of others are also not left behind. Text The size and the font typology is very important. Choose those aspects with ADA in mind. Media like Images A lot of the media , including video and images ,...

Analysis Vs Synthesis

The 2 skillsets that a product manager needs a lot are Analysis and Synthesis. I am a business analyst who turned into a product manager. It is easier for me to be reliant on my analysis skills since that is what I am trained as a business analyst. However, what is also equally important is the synthesis skills. How are they different Analysis refers to the ability to break down a problem into constituents and start attacking them. This helps the product manager a lot when there is enough feedback from users and all the product manager has to do is just carry it out. There is no need for prioritisation from the side of the product manager since the user’s preference would clearly give that information as well. This works well when the product is an already released product and it is not difficult to understand what is needed and why it is needed. Synthesis, on the other hand, refers to the ability to piece together multiple pieces of information to understand t...

How to pitch your product

Product managers have to be on the road with the sales team and try to understand the market better. Any amount of market research is not sufficient to help understand what should the product shape up like. In case you have observed, We need two kinds of pitches to make - they need to be made on a specific scenario - some times to the same contact at the different times. Scenario 1:  You want the prospect to start listening to you. The prospect has not yet connected with you. This scenario is the most common when we do cold calling or when we meet people in conferences / fairs. The prospect has no idea who you are or what problem you are trying to solve. In this case, you need to have the following information What is his/her dominant problem? What figures do we have to state it more quantitatively? To put it in better perspective, The dominant problem of a typical retailer that we meet is as follows: I am not sure what kind of stock is left with me at the e...

Communication in cross-functional teams

Working in cross functional teams is the occupational hazard for product managers. A typical product manager needs to work with 3 kinds of teams: Engineering team - comprising of developers, testers and IT operations Sales / Marketing team Management team The product manager needs to have different set of information - or rather information represented and expressed in different ways for the three different teams. Engineering Team Focus: Focus on what needs to be done. Define clear milestones  Clearly communicate focus of the product and end user gain Help take decisions to architect the product Detail the product road-map from the engineering side Sales/Marketing Team Focus: Focus on what the product positioning needs to be Map the competitive landscape and find out how we are different from our competitors Clearly communicate the overall marketing / sales goals - with respect to details like channels, goal for the period Detail out the communication pla...

Maintaining multiple versions of a product

A product team , when it has more than one client, faces a challenge when it has to maintain multiple versions of the product. Typically the implementation team would have made some customizations for every installation for the product. However, when they release a new update, they struggle to make it work for all the products since there are customizations and the new update might not be compatible. There are several considerations that a product manager needs to take while deciding on the product strategy. Saas versus Installation Having a saas product makes it easier for the engineering team to push updates. If it is a installer distribution, There are the team will face challenges with distribution. Compatibility is also an issue. The biggest issue however, from the user perspective, is data migration from the previous version to current version. The best way out of this is to make it a service as well. You can decide whether you want the customer to pay for tha...

When to pivot

Pivoting is a very painful decision for Product Managers. It is also a decision that we , as product managers, dread. Pivoting in essence is one of the key decision points that a product manager needs to always be on the look-out for. A little bit of Context The job of the product manager, at various levels, is also to look at it from a 30,000 feet level, understand the context the product is perceived by the customer and understand how he can make the product better for the customer. This is easily said that done. Product managers tend to get lost in the daily details of running the show that their interactions are always on the transactional level. Irrespective of whether the product is doing well or not, a product manager needs to watch out for the changing landscape. To Pivot ot Persevere The product manager needs to make a hypothesis on whether there needs to be a revision on what problem it is solving. The hypothesis needs to provide a result that will hel...

Minimum Viable Product

When we create a new product, Product managers always grapple with the problem of when to take the product for customer validation. Taking it too soon would be the prospects are not interested in what is being demonstrated. Taking it too late means that we could be grossly wrong and any feedback that comes could not be that valuable. Another problem is taking it to all the prospects might lead to unsatisfactory  comments on how the product is still not complete. How do we manage thing timing issue? A simple concept of minimum viable product could help us understand when is the right time to start the demonstrations. Minimum viable product is the core product that satisfies the needs of a chosen subset of the target audience. It has just enough for us to focus on a subset of prospects, validate understanding and move on. What it is not MVP is often misunderstood as a the bare minimum of a product that can be developed. This understanding is incorrect. The e...

The right business model for your product

How would you decide what is the best business model for your product? Deciding on the right business model is very important for the product. It does not necessarily mean what is the price of your product. There could be no price for your product - though that is a myth. For example, we think google or Facebook is free. However, we are never the customers for Google or Facebook. It is the advertisers that are its customers. What we need to figure out when we decide on a business model are as follows: Who is my target audience? Who is my customer What is the price. How is the support model going to work Who are my partners While we do not absolutely need to price a product, we need to understand how we would make money. For example Open ERP does not price its product. However, its product is not the ERP software but really the hosting, service and training that it offers. While pricing is an important part, what is more important is in realising who is you...

Constructing the Product Roadmap

When I started out in the team, I was tasked out with coming out with a plan so that we can demonstrate the product with real data. The idea was to demonstrate it to our prospect with their own data and win them over. However, when I started working, I found out that what we lacked was not a plan but a vision. I quickly put together a one day workshop with our team and our product owner. When we started talking, we talked about several things and figured out that we needed a plan of various proportions. We needed a plan that could help us one the following: Provide a focus for the long term with near term focus on just one thing Help us talk to prospects on what we are going to do Help us decide on when we would need to focus shift on which function - Engineering , sales etc We also did a quick “Product in a box” exercise so that all of us in a team can practice and imbibe the elevator pitch. We needed this since we had to do this pitch at several levels - Inter...

How to name it !!!

It may seem insignificant but forms a very important part of both the product placement as well as marketing for the product. We have been hunting for names for more than a month now and just have a working title for the product. The problem with the working title is It is way too long it is not easy to remember It does not contain the essence of the product We have the following criteria for a product name Easy to spell and remember Relevant to the product space Should have been used by any other relevant software product While we have enough suggestions that cross the first 2 criteria, we hit the block on the third one.

Finding your target audience

The biggest task of the product manager is to find your target audience. Typically it is a very tight rope walk. You define it too narrowly and you would struggle to generalize the product later. You define it too broad and you would struggle to satisfy a lot of people and the product might not take off at all. There is this awesome post by Dave Mcclure on why Niche target segment works. Blog link here . What he says is mostly right and that is what we did as well. We did it mostly by accident. We had to define our niche because we could only talk to those kind of retailers and get data from them to start developing the data. It did have its upside. We were very clear on what we wanted to develop and we are slowly talking to retailers and adding more scenarios. As we are doing this, we are also talking to a slightly different set of retailers. This helps us incrementally build our product while also generalizing the existing features. In our case, we did not fin...

Prototype Vs Product

What is the difference between a prototype and a product? I will try to summarise this based on our experiences and understanding. When we started building out this product, we did not have access to real data or to real customers. So we did the next next thing. We stubbed out the data. We presented the application on NRF, Big Show and received feedback from prospective users. Prototype#1: No real data and no real customers. Just functionality We received a real data set form a prospect and started out to develop based on the data set. What we missed out were the real-time scenarios based on the data. We showcased the prototype and received the next set of feedback. Prototype#2: Real data but not real-time scenarios. Functionality with limited scenarios. Once we understood the business of the customers and what they do, what they want, we continued building the prototype and now have a product with 2 customers. Product: A base-lined prototype that handles a ...