Carol Braddick Masterclass
Rarely is the Meyler Campbell community stunned into silence. The Carol Braddick Masterclass this week on coaching and technology did it: some of the things Carol said “shocked” one seasoned attendee, another stated, “I’ve been on a roller coaster right through this afternoon”, while three days after the event another added that their “head is still spinning!” What caused the intent silence, and occasional stifled gasps? Seventy-four comprehensive slides, three intensive yet practical hours, firmly set in our real world of leadership coaching – not possible to precis, but let’s try and give at least a few glimpses.
Carol spoke on three topics: Apps; People Analytics; and AI.
Apps
Some highlights included:
This triggered a flurry of tips shared within the audience over coffee at the break – e.g. coaches handling acutely sensitive client information, should be aware that Siri and Alexa are always listening – as is every modern television set, which all have microphones. Switching things off is obvious, but it’s not easy – if you switch Siri off someone said, it then switches itself on at individual sub-app below, and you have to go through and switch all them off as well.
People Analytics
Throughout, Carol advocated no particular point of view, neither ‘techie’, nor alarmist, she simply presented the facts as they are now – everything she showed us is happening out there already. She emphasised that while there is much to be vigilant about, there can also be valuable insights.
For example, People Analytics, where data from employees (from email, wearables, intelligent badges tracking movements etc) enables data-driven decision-making. There have been outcries in organisations where data-generating badges were introduced insensitively. Yet the data this generates can also yield insights into divisions or areas within firms that receive less attention, hidden gender disparities etc. One learning in using the data is to convert it into ‘storytelling that generates insights’. One organisation combined the people analytics data with data from staff wearables, spotted that the engineering team was getting 2 hours less sleep a night compared with the previous quarter, and intervened to schedule fewer late night meetings with China. Carol felt it was also important to note that while it might seem OTT, the next time an upgrade or install fails, it could be that the team was sleep deprived and failed to catch the glitch before it went live.
Many organisations are now using network analysis – coaches should ask if this is in place (it is, in more firms than we think, but HR and clients may be unaware of it). If so, it enables simple measurement of coaching effectiveness: if ‘personal impact’ or reach are the coaching topic, pre- and post-coaching tracking improvement in clients’ networks within and outside their firms provides instant feedback. Carol showed an example of a network analysis tool that converted the data into a TrustScore (compiled from the firm’s big data) mapping the trust individual employees were building or losing over a four-month period. Another use of the data, is to generate personalised ‘learnscapes’: coaches often suggest books, TED talks, etc to their clients – but an algorithm can do it more accurately, and make suggestions from a wider resource of courses, the organisation’s mentor and coach network, books, podcasts, blogs, people (internal and external), groups (internal and external), and at precisely at the time the client wants it.
Data is also generating decisions into who ‘gets’ an external coach; feeding into evidence-based coaching (baseline, goals, progress and evaluation); and has potential insight into coachability; the best internal coach for a client; potential ‘flight risk’ (i.e. signals that the employee is considering leaving the firm); and how good the manager coaches actually are.
So coaches who currently ask about 360, psychometrics, interviews etc at the start of a coaching relationship, might soon need to ask, how coachable is your client? What tools and data are available that could be potentially useful given the purpose of the coaching?
Coaching itself might be reconfigured – if the coaching topic is which global matrix relationships need attention, then the leader’s network analytics are relevant. Carol also gave us a vivid picture of the use of Virtual Reality (VR) sessions in coaching, where clients are able to ‘walk through’ the web of their actual relationships within their world, and see where some are strong and some are weak.
AI
BetterUp raised $26 million in March 2018, its second funding round, to ‘democratize and enhance coaching’ with AI. They are having success with a ‘mobile first’ offer to the middle market that generally doesn’t have budget for our fees, working with human coaches and using AI to customize content for coaches to share with their clients.
Carol shared examples and photos of how digital coaching devices are being built now both as pure play (no human coach!) and for use by human coaches with their clients. Think coachbots, but smart – and they’re being taught empathy, including how to recognise clients’ micro-emotions, more perceptively than we can, and of course without flagging.) In conclusion, Carol made a ‘call to action’, encouraging the audience to support advocates of #techforgood such as Time Well Spent; join conversations on codes of ethics on AI, privacy, and consent; and help buyers understand the pros and cons, navigate market choices, and set expectations among employees.
The survey data on the participants which she shared at the beginning showed few of us are in the ‘early adopter’ category, but she offered us the new perspective of being ‘fast followers’ and several in the audience were sufficiently intrigued to ask her afterwards for more information on how we could do this. Watch this space!
Join our mailing list to be informed of the new Meyler Campbell Insight resources as they are published