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6 PhD Habits That Will Save You Years of Struggle (Start Using Today) thumbnail

6 PhD Habits That Will Save You Years of Struggle (Start Using Today)

Andy Stapleton·
5 min read

Based on Andy Stapleton's video on YouTube. If you like this content, support the original creators by watching, liking and subscribing to their content.

TL;DR

Arrive at supervisor meetings with a clearly defined problem and at least one proposed solution, not just a request to continue.

Briefing

A PhD advantage doesn’t come from being the smartest person in the room; it comes from adopting specific mindsets that change how problems are handled, how progress is measured, and how setbacks are interpreted. The core message is that finishing faster—and doing better work—depends less on raw talent and more on how a researcher thinks when experiments fail, supervisors push direction, and motivation dips.

First comes “problem solver” thinking. When a PhD student hits a roadblock, that obstacle becomes their responsibility, not something to outsource. Instead of bringing supervisors vague requests for permission or help, the student should arrive with a clear problem definition and at least one proposed solution. That approach keeps momentum intact: asking someone else to solve the issue forces them into problem-solving mode, while presenting both the problem and a solution “lubricates” collaboration. The same logic applies beyond academia—if something blocks goals, ownership of the fix is what moves progress.

Next is “ownership” of the project. Even if supervisors micromanage or dictate day-to-day work, there’s a point where agency must take over. The guidance is to take ownership of the direction of the PhD, using the “easier to ask for forgiveness than permission” mindset when trying new experiments or exploring alternative approaches. The payoff is mental health and a stronger sense of control: when things go wrong, the student can identify what’s within their control—performance, planning, or strategy—rather than blaming external forces.

A third mindset—“yet”—targets the language of failure. When negative thoughts appear (“I can’t do this,” “I’m not good at this”), adding “yet” reframes the situation as temporary and solvable. “I haven’t figured it out yet” shifts expectations from fixed inability to actionable learning, turning dead ends into next steps.

Progress also requires a “small wins” habit. Daily wins can be tiny: tidying the lab, spending 10 minutes on a graph, or even having the courage to tell a supervisor, “I’m not feeling great today.” The warning is against dismissing small progress as worthless unless it’s dramatic. Energy varies day to day, so the win should match the capacity of the moment—then accumulate over time.

The fifth mindset is “constant testing.” Because reality rarely follows the planned outcome, researchers should run iterative cycles of experiments and treat failures as information. The transcript gives a personal example from YouTube: testing multiple channels, then doubling down on what performed best. In a PhD, the same principle means communicating the small tests being run with a supervisor—most will fail, but the few that take off become an “unfair advantage.”

Finally, “discomfort is feedback” reframes avoidance. Discomfort—whether from imposter syndrome, repeated failure, or an experiment that feels wrong—contains data. Instead of fleeing it, the student should dissect what the discomfort is signaling: confidence gaps, communication fears, or mismatches with the experiment itself. Sitting with discomfort longer helps identify the root problem and extract actionable lessons, which the speaker credits as a reason they were able to finish a PhD in three years.

Cornell Notes

The transcript argues that a PhD edge comes from mindsets that preserve momentum, increase agency, and convert setbacks into information. Key habits include treating every obstacle as a problem to solve with proposed solutions, taking ownership of project direction, and reframing “can’t” statements with “yet” to emphasize learning rather than fixed ability. Progress should be tracked through daily small wins, even when they’re minor. Because outcomes are unpredictable, constant testing—running many small experiments and communicating them—helps identify what actually works. Finally, discomfort is treated as feedback: dissecting it reveals the underlying issue and guides the next move.

Why does “problem solver” thinking change how a student should approach supervisors?

It shifts the interaction from asking for permission to moving work forward. When a roadblock appears, the student should define the problem and bring at least one solution idea. That prevents the supervisor from having to re-enter problem-solving mode and “muddies” the process less. The practical rule is: if the obstacle is stopping progress, it becomes the student’s problem to address with a solution-ready mindset.

What does “ownership” mean when a supervisor micromanages?

Ownership means taking responsibility for the project’s direction and outcomes, even if guidance from above is controlling. The transcript recommends trying new experiments or approaches when appropriate and then deciding how to present results afterward. It also frames ownership as mental health and agency: when something goes wrong, the student focuses on what they can control—performance, strategy, and next steps—rather than assuming the outside world is the blocker.

How does the “yet” mindset work as a tool against failure loops?

It targets the language of impossibility. Adding “yet” to negative thoughts turns “I can’t do this” into “I’m not there yet,” which reframes the situation as temporary and solvable. The transcript emphasizes that this small linguistic change helps shift expectations and makes it easier to look for solutions instead of treating failure as proof of permanent inability.

Why are “small wins” treated as essential in a PhD?

Because progress isn’t always dramatic, and energy varies day to day. The transcript lists examples like tidying the lab, spending 10 minutes on a graph, or having an honest check-in with a supervisor when motivation is low. The key point is that small wins still count because they keep forward motion alive; over time, consistent minor progress accumulates into meaningful progress.

What does “constant testing” look like in research planning?

It means running iterative cycles of experiments rather than betting everything on a single predicted outcome. The transcript notes that most experiments will fail, but a few will take off. It also recommends communicating these tiny tests to a supervisor—“I’m testing this, I’m testing that”—so the project benefits from rapid learning. A personal example is given: testing multiple YouTube channels, then doubling down on the topic that performed best.

How can “discomfort” function as feedback instead of a reason to quit?

Discomfort is treated as data about what’s blocking progress—such as imposter syndrome, fear of speaking to the right person, or an experiment that doesn’t feel right. The transcript advises sitting with discomfort long enough to dissect its source, then using that information to educate oneself or adjust the approach. Avoiding discomfort is described as the worst option because it prevents identifying the root problem.

Review Questions

  1. Which mindset would you use to handle a supervisor request for permission, and what would your response include?
  2. Give one example of how you could rephrase a negative thought using “yet” and what action that rephrase would lead to.
  3. What are three “small wins” you could realistically do on low-energy days, and how would you track them?

Key Points

  1. 1

    Arrive at supervisor meetings with a clearly defined problem and at least one proposed solution, not just a request to continue.

  2. 2

    Treat obstacles as your responsibility: if something blocks progress, ownership of the fix belongs to you.

  3. 3

    Take ownership of project direction by experimenting with new approaches and focusing on what you can control when things go wrong.

  4. 4

    Use “yet” to convert fixed negative beliefs into temporary learning states and keep searching for solutions.

  5. 5

    Celebrate daily small wins—even minor lab tasks or short check-ins—because consistency compounds over time.

  6. 6

    Run constant, iterative tests: communicate the small experiments, expect most failures, and double down on what works.

  7. 7

    Treat discomfort as feedback by dissecting its cause (confidence, communication, or experiment mismatch) and using the findings to adjust next steps.

Highlights

The fastest path through a PhD is framed as mindset-driven: define the problem, propose solutions, and keep momentum instead of outsourcing roadblocks.
“Yet” is presented as a practical cognitive switch that turns “impossible” into “not there yet,” making problem-solving feel available again.
Small wins count: tidying, 10-minute work sessions, and even honest supervisor check-ins are treated as legitimate progress.
Constant testing—many small experiments with frequent failure—is described as the mechanism for discovering what actually works.
Discomfort is treated as feedback: dissect what it reveals about confidence, communication, or experimental fit rather than avoiding it.

Topics

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