Sure, I'm not invested enough in the outcome to drill down to the numbers but I'm happy to share how I would analyze it.
There are two choices the analysis; 'do nothing' which leaves the business as it is, collecting sensor data from the operation of the robots into aggregated data sets, and 'destruct on sale' which is a promise to delete any and all sensor data collected so that the new owner can not use it.
I am further assuming that at the time of sale the business has two components of value, its 'operational' value which is the annual recurring revenue of its subscribers/users less the cost of managing the revenue, and 'residual' value which consists of company assets such as the physical plant (offices), algorithms or patents, real estate holdings, and data sets.
In the 'do nothing' case we assume that subscription rates ($SUBS) stay the same (so revenue is unchanged) and that the data set accumulated has some value (say $DS)). Using $SUBS as the revenue model, $ASSETS for the stuff that doesn't change in either choice (office, patents) the value generated by the company would be something like:
years * $SUBS + $ASSETS + $DS.
And in the scenario where you argue that destroying the data would result in more users it would be
years * ($SUBS + $Delta) + $ASSETS.
Does that make sense so far?
So my analysis would say that the 'better' choice is the one that generates more value over time for the company. And given the structure above that depends entirely on one thing, is the value of ($DELTA * years) greater or less than the value of $DS.
Next I'm going to stipulate that the value of $DS has a 'years' component as well since the data set keeps customer data regardless if they are a current customer or not. So the more customers you've had over the years the more value $DS. And using that stipulation I'm going to simplify the analysis to just the comparison of $DELTA and $DS.
Then I'm going to ask can we characterize the size of $DELTA? And I will argue, perhaps unfairly, that $DELTA would consist entirely of people who 'care about privacy.' Then I'm going to look at all of the experiments in tech where the differentiating factor of the product was 'privacy' or 'less tracking' and compare their addressable customer market to the the overall market. (I actually got to 'live' this advocating the privacy features of the Blekko search engine to people)
Then I'm going to argue that while there are many people who will talk about their concerns around privacy and security the number that will change their behavior relative to that concern if astonishingly small. It shouldn't be but there are examples all around of how it is. And based on that argument I'm going to argue that $DELTA is very small, 1 or 2% of the subscriber base at best.
Then I am going to talk about the challenges of developing a dataset like $DS. How difficult it would be for anyone to create such a data set without a way of explicitly running a sensor suite in thousands of homes. And given how hard it is to compete, that someone with sole possession of that data would have a competitive advantage over others who might seek to use it, or might have a salable product based on that data that nobody else could offer. (joke idea: use it to validate square footage numbers in Redfin listings). I would argue that this data set which would be unique in the world would be very valuable, and assert that $DS was >> $DELTA and so the right choice for the company was to keep it.
And in that analysis, if the most value would be maintained by keeping it, then changing the company so that it could not be kept would impair the value of the company and violate the fiduciary duty of the board.
I think it is very unlikely that this would "work".
The "business judgement rule" means that boards get a huge amount of latitude in how they run their business, especially absent "disloyalty" to the business (like enriching themselves at the company's expense).
In a 2005 case (re Walt Disney Co. Derivative Litigation), the Court said "not entitled to any remedy unless the transaction constitutes waste... [that is,] the exchange was so one-sided that no business person of ordinary, sound judgment could conclude that the corporation has received adequate consideration."
Your valuation has all sorts of uncertainties. Is there actually a market for the data? Even if it is from old, proprietary sensors? How comparable are those privacy experiments to a situation in which the sensor package is literally roaming your house 24/7? Is customer interest in privacy increasing (particularly in iRobot's target demographics?) and are there sales/reputational benefits for being one of the first companies to adopt this policy first? Any one of these is enough to ruin your case.
It would have to be something really egregious, like a contract in which the data transfers to the CEO's brother-in-law, for it to be a breach of duty.
I think focusing on legal jeopardy misses the point.
Directors are Directors because they represent a big chunk of stock. Billy Bob's VC invests in your company, gets a big chunk of stock and a seat on the board. Even 'outside' directors are often compensated for their time in stock. As a result every board member tends to make their judgments based on whether or not their stock value will go up or down.
Karl Ichan doesn't buy a bunch of stock and get himself on the board just for grins and giggles. No, he expects to wield the managerial power the board has over the CEO to enact policies that will improve the value of the stock he went out and purchased so that he can then sell it for a profit and move on to another company.
As a result discussions at the boardroom level are around "is this good for the stock or not" and in that vein I would do the analysis.
There are two choices the analysis; 'do nothing' which leaves the business as it is, collecting sensor data from the operation of the robots into aggregated data sets, and 'destruct on sale' which is a promise to delete any and all sensor data collected so that the new owner can not use it.
I am further assuming that at the time of sale the business has two components of value, its 'operational' value which is the annual recurring revenue of its subscribers/users less the cost of managing the revenue, and 'residual' value which consists of company assets such as the physical plant (offices), algorithms or patents, real estate holdings, and data sets.
In the 'do nothing' case we assume that subscription rates ($SUBS) stay the same (so revenue is unchanged) and that the data set accumulated has some value (say $DS)). Using $SUBS as the revenue model, $ASSETS for the stuff that doesn't change in either choice (office, patents) the value generated by the company would be something like:
And in the scenario where you argue that destroying the data would result in more users it would be Does that make sense so far?So my analysis would say that the 'better' choice is the one that generates more value over time for the company. And given the structure above that depends entirely on one thing, is the value of ($DELTA * years) greater or less than the value of $DS.
Next I'm going to stipulate that the value of $DS has a 'years' component as well since the data set keeps customer data regardless if they are a current customer or not. So the more customers you've had over the years the more value $DS. And using that stipulation I'm going to simplify the analysis to just the comparison of $DELTA and $DS.
Then I'm going to ask can we characterize the size of $DELTA? And I will argue, perhaps unfairly, that $DELTA would consist entirely of people who 'care about privacy.' Then I'm going to look at all of the experiments in tech where the differentiating factor of the product was 'privacy' or 'less tracking' and compare their addressable customer market to the the overall market. (I actually got to 'live' this advocating the privacy features of the Blekko search engine to people)
Then I'm going to argue that while there are many people who will talk about their concerns around privacy and security the number that will change their behavior relative to that concern if astonishingly small. It shouldn't be but there are examples all around of how it is. And based on that argument I'm going to argue that $DELTA is very small, 1 or 2% of the subscriber base at best.
Then I am going to talk about the challenges of developing a dataset like $DS. How difficult it would be for anyone to create such a data set without a way of explicitly running a sensor suite in thousands of homes. And given how hard it is to compete, that someone with sole possession of that data would have a competitive advantage over others who might seek to use it, or might have a salable product based on that data that nobody else could offer. (joke idea: use it to validate square footage numbers in Redfin listings). I would argue that this data set which would be unique in the world would be very valuable, and assert that $DS was >> $DELTA and so the right choice for the company was to keep it.
And in that analysis, if the most value would be maintained by keeping it, then changing the company so that it could not be kept would impair the value of the company and violate the fiduciary duty of the board.