Effective Altruism Coaching 2020 Annual Review
As of October 2020, I have had 1500+ coaching sessions with 200+ clients. Client surveys continue to show increasing benefit from my previous impact evaluation mid-2019. Clients reported an average increase of 25 productive hours per month during coaching and valued the grant equivalent of four sessions of coaching at an average of $6,857.
I’ve explored a number of ways to scale the impact of coaching over the past year and a half, including starting my blog to write about productivity. While I expect one-on-one coaching to remain my main focus, I intend to continue looking to scale in 2021. In particular, blogging and courses interest me as opportunities to reach a larger audience.
About EA Coaching
EA Coaching helps people working on the most pressing problems excel at their job.
It was founded and run by me, Lynette Bye. I’m a productivity nerd who’s been coaching effective altruists since 2017. Prior to founding EA Coaching, I studied psychology at Harvard University and researched self-control under Angela Duckworth at the University of Pennsylvania. My interests include how humans excel, self-experiments, and generally tinkering with how to live the good life. I write about these on my blog.
I work with professionals who already accomplish a lot—consultants, professors, software engineers, CEOs, researchers—to pinpoint their bottlenecks and help them solve the biggest problems holding them back from accomplishing more. In practice, this looks like lots of individual experiments, setting goals, and prioritizing. In 2020, I also started doing more career coaching helping people structure big decisions, gather information, and follow through on their new goals.
Most of my work is with clients who are attempting to contribute to top cause areas, since marginal improvements in productivity for this group may have a disproportionately large impact on the world. A third of my clients are at mainstream EA orgs such as the Open Philanthropy Project, Future of Humanity Institute, and Centre for Effective Altruism.
What is EA Coaching up to and where is it going?
I continued to work on improving the coaching during the rest of 2019, then shifted more of my attention to writing and exploring ways to scale in 2020. Despite this, my scores on client survey metrics have largely continued to improve over the past year and a half since I wrote my previous evaluation.
I spent the first half of 2020 exploring a number of scalable options to expand the potential impact from coaching. In the second half, I decided to double down on writing as a potential form of scalable impact and a potent learning tool for myself.
Over the past year and a half, I have:
Started a blog and published 23 pieces.
Hosted two workshops on theory of change, one for the Global Priority Fellows and one for FHI’s Research Scholars.
Hosted two Deep Work Weeks, a team-based productivity competition.
Attended an executive coaching conference at the Berkeley Executive Coaching Institute.
Interviewed a dozen prominent EAs about their productivity habits.
Maintained a full client load. In 2020, I’ve only had 5 weeks in which I had fewer than my minimum target of 10 calls per week, all of which were in the first half of the year.
Set up arrangements to cover coaching for employees at the Open Philanthropy Project, the Center for Effective Altruism, Animal Charity Evaluators, the Future of Humanity Institute, Partnership for AI, and the Center for Human Compatible AI, as well as for the Forethought Foundation’s Global Priority Fellows.
Received another grant from the EA Meta Fund for $24,000 for the second half of 2020 and the first half of 2021.
Hired a part-time employee to help with producing scalable content.
Started a peer supervision group with Damon Pourtahmaseb-Sasi, Ewelina Tur, and Daniel Kestenholz. Peer supervision is an informal system of feedback and advice from peer coaches or therapists.
Completed Cal Newport’s Top Performer Course.
Started doing more career coaching, including providing career coaching at EAGx Virtual and the EA Student Summit. My career coaching focuses on helping people structure their decisions, efficiently gather information, and then take action on their career goals.
Been interviewed on ACE’s blog.
While I expect one-on-one coaching to remain my main focus, I intend to continue looking to scale in 2021. In particular, writing and courses are of interest to me.
In 2021, I’m interested in:
Doing deliberate practice exercises on my writing. Producing more written content.
Publishing a series of interview posts.
Explore creating a course. I’m interested in this medium to see if I can bridge the benefits of 1:1 coaching for actionability and writing for scalability. I expect it’s hard to produce a really good course, so I would start exploring slowly to make sure I have a good idea before I actually commit.
Update on Impact Evaluation
I wrote an impact evaluation in mid-2019, which you can read here. For efficiency’s sake, I’ve omitted repeating caveats and thoughts already summarized there.
Client Surveys During Coaching
Here are the plans for measuring impact that I wrote last January as an informal pre-registration. All of this data is collected from pre- and post-coaching surveys. I used to give the post-coaching survey after the first four calls; now I usually give it to the client when they are ceasing coaching. I also administer a pre-coaching (baseline) survey to clients about to start coaching. The data in this section is from the surveys administered between the last impact evaluation and October 2020.
“I’m measuring their estimates of total productive time at baseline and post. So, I can compare the changes in pre- and post-coaching time estimates (both within subjects if I get >10, and differences in aggregate pre and post averages) to the estimated increased time.
I’m also starting to ask whether they tracked their time, so I can compare data from the whole group to data from just those who report tracking their time. I anticipate my data set who report tracked time will be small, but significantly more accurate than those guessing at their time. So I’ll put more weight on the tracked time reports, especially after I get >10 of them.g
I’ll just report the mean and median for the grant and percent extra output data.
I’m collecting age, gender, and education levels in the pre-survey, so I can share that aggregate data.
I’ll report the NPS. (0-10 scale, score is the percent of 9-10 scores minus the percent of scores 0-6).
I’ll share all the testimonies people give me permission to share with their name.
When appropriate (since I need to ask a third party to share confidentially), I’ll share the anonymous reviews that I can’t see. Given that this question is right after the question to write a testimony, I expect these will skew negative by selecting for people who want me to not see it.”
I take the numbers below with a grain of salt reserved for all numbers that express more certainty than they can possibly have. When possible, I’ve put similar measurements in comparison to one another so you can triangulate for yourself how much added value you think they indicate.
I place more weight on the positive trend of scores over time, and the client survey data indicates the coaching has become more useful since my previous impact evaluation.
Summary of client survey data:
The Net Promoter Score is 36, an 8% decrease from the 2019 Impact Evaluation. This was the only metric where the score decreased.
In client surveys, clients reported an average increase of 25 productive hours per month during coaching, a 52% increase from 2019. In comparison, calculations from pre-coaching and post-coaching reports of total productive hours gave an average of 28 additional productive hours.
They also estimated that coaching increased the amount they accomplished by an average of 30% over the past month.
Clients valued the grant equivalent of four sessions of coaching at an average of $6,857, a 351% increase from 2019. In comparison, they reported being willing to pay an average of $774 out of pocket.
Decreased 8% from 2019 Impact Eval (39)
If you were more productive, how many more productive hours would you estimate you had over the past month because of the coaching?
n=57, range 0-100
Increased 52% and 60% respectively from 2019 Impact Eval (average 16.4 and median 12.5)
How many additional hours did they report?
n=24, range −40-130
Clients reported total productive hours for the past month on the intake form (pre-coaching survey) and again on the feedback form (post-coaching survey). These numbers were calculated by subtracting the pre-coaching hours from the post-coaching hours for each person who filled in both surveys, than averaging.
This calculation has a wider range than the client-reported increase in productive hours, but the averages are similar and the medians are identical.
If I instead calculate aggregate extra time by averaging the hours across everyone who filled in respective survey, I get an average of an average of 97 hours on the pre-coaching survey and 132 on the post-coaching survey, which means the difference is 35 hours. I think this method is less accurate than the above graph, however.
I only had two clients who reported tracked time on the pre- and post-coaching surveys, so I wasn’t able to control for tracked time.
By what percent would you estimate coaching changed the amount you accomplished over the past month?
n=45, range 0%-175%
If you could have gotten a grant instead of the most recent four sessions of coaching, how much money would it take for you to be indifferent between the grant and coaching?
n=59, range $80-$100,000
Increased 351% and 25% respectively from 2019 Impact Eval (average $1,522 and median $800)
How much would it have been worth to pay for the past four sessions, if you were paying out of pocket?
n=22, range $100-$3,000
Annual User Survey
I sent an annual user survey to my email list and some former clients at the beginning of January. Topics covered coaching, my blog writing, and events I held. I did a $75 raffle as a thank-you for participating. The following data is from that survey.
Summary of client survey data:
Current and recent clients reported an average of 26 extra productive hours a month, and clients who had ceased coaching at least a month ago reported an average of 11 extra productive hours a month.
Prioritization is cited as a benefit of coaching more than twice as often as working more.
Net Promoter Scores were low.
18 of 43 readers said they had done something differently because of reading the blog, and readers reported an average of 4 extra productive hours a month.
To keep the survey short, I only included the hours and Net Promoter Score questions from my usual surveys.
If you were more productive, how many more productive hours would you estimate you had over the past month because of the coaching? If you have ceased coaching, please report the most recent month (not when you were still doing coaching).
n=27, range 0-80
Extra productive hours after ceasing coaching
I was particularly interested in the lasting effects of coaching after the client ceases coaching. I analyzed the above data excluding anonymous responses, current clients, and clients who recently ceased coaching. This graph represents the lasting benefit to clients who ceased coaching more than a month ago and up to two and a half years ago.
n=14, range 0-36
Extra productive hours during coaching
I also analyzed the above data only including current clients and clients who ceased coaching in the past month. The result was surprisingly consistent with the data from client feedback forms at the end of coaching.
n=8, range 8-80
Which, if any, of the following types of benefit have you experienced because of coaching, either when you were doing coaching sessions or after you ceased coaching?
I added this question to assess which areas clients felt coaching helped them with most often.
Additionally, as I shared in my 2019 impact evaluation, I think that helping clients prioritize is likely the bulk of my impact, rather than adding extra productive hours. According to this data, prioritization is cited as a benefit of coaching more than twice as often as working more.
Have you personally found the blog valuable? Have you done something differently because of it?
18 of 43 readers said they had done something differently with a positive effect because of reading the blog (the others had not done anything differently).
If you were more productive, how many more productive hours would you estimate you had over the past month because of the blog?
n=16, range −0.1-20
Over the past year and a half, a smaller fraction of people responded to the survey, which means that biases in who responds could have a larger impact (e.g. if the top half of clients were more likely to respond, this would inflate the reviews).
EA Coaching with Lynette had significantly increased the amount of focused hours I could achieve each month, as well as providing a helpful framework I can continue to use while no longer receiving coaching.
I was looking to switch from fundamental research in a somewhat esoteric field to something with more direct societal value, but wasn’t gaining any traction. Lynette taught me how to better evaluate and prioritize activities. I applied those skills to evaluating career paths, application and interviewing strategies, and even in unrelated domains. After a few months, I started seeing large, accumulating dividends. I reached my original goal, and I expect to utilize what I learned to better navigate career and life decisions in the future.
Lynette helped me notice that my sleep was poor and helped me create and follow through on a plan to fix it.
Lynette provided me tools, wisdom, and feedback that helped me formulate better habits and make the most of my time. A significant counterfactual value-add to my life!
Lynette used easy-to-implement techniques to help me become more productive. The end result was significantly more efficient and focused work time. There was a noticeable uptick in the amount of work I was able to achieve, and the quality of that work. It’s one of the best things I’ve done to improve my work.
I’m a software developer looking to apply my skills to more important problems. Lynette has helped me to break down the monumental task of deciding what direction to take (and how to get there) into a series of manageable and informative actions. She questioned a lot of my assumptions about how to do this and coached me in using some productivity tools which I have found very valuable.
Lynette introduced me to a number of tools and mechanisms to improve my ability to complete projects and do focused work. She helped me identify impediments to motivation and planning and showed me how to address those issues. I benefited from the feedback on projects and accountability of the coaching sessions.
Lynette’s coaching has helped me set more realistic goals and prioritize my goals better.
Lynette’s coaching helped me to nearly double my core productive hours, and to make significantly faster progress on my goals by prioritizing better.
Prior to productivity coaching with Lynette I didn’t take a solutions-oriented approach to many things that were slowing down my work. The coaching pushed me out of a naive-consequentialist frame of mind that sacrificed needed productivity optimization for the sake of direct work and created an accountability structure within which I couldn’t avoid addressing productivity issues head-on.
The only real choice that we have to make is how we choose to spend our short amount of time. Lynette brought so much clarity to the projects and tasks that I choose to take on. It’s remarkable how her advice can be so pragmatic and detailed and at the same time do so much to clarify the big picture.
There are many pressures for our valuable time. I went to Lynette with the hope that she would help me carve out my time for projects that really mattered to me. Lynette delivered that and more! She restructured my time and provided a tool-kit to stay motivated. Moreover, the coaching has provided me with a solid foundation to be highly productive in future endeavors.
The data in this section is from the pre-coaching baseline surveys administered between the last impact evaluation and October 2020.
Average Age 27.4
Median Age 27
Highest level of education completed, n=48
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