Manuel B. Garcia

Manuel B. Garcia serves as the Senior Director for Educational Technology and Digital Learning at FEU Institute of Technology, Manila, Philippines. Read More

Contact Info

1607, FEU Tech Building,
P. Paredes St, Sampaloc,
Manila, Philippines
mbgarcia@feutech.edu.ph

Follow Me

If You Had Not Already Invested Any Time in This Idea, Would You Still Choose It Today?

Forget for a moment that the proposal, literature review, instruments, or preliminary work already exist. If you were choosing among research ideas today using everything you now know, would this still be the one you select?

756
Would You Choose This Idea Today? Guide 756 of 760
01 · The Question

If This Idea Arrived on Your Desk Today, Would You Choose It?

Imagine waking up tomorrow with all your current knowledge but none of your history with the project.

You know the literature as it exists today. You know how difficult recruitment is likely to be. You know what the available dataset actually contains. You know which methods you can execute, which collaborators are available, how much time remains, and what competing research questions could be pursued instead.

The only thing removed is your previous investment in this particular idea.

Would you choose it?

This clean-slate test is deliberately artificial. Researchers cannot erase their history, nor should they. The purpose is to temporarily remove one source of bias from the decision and ask whether the project remains attractive on its current merits.

02 · The Short Answer

Choose the Idea Again Using Today's Evidence

In Brief

If you would not choose the research idea today, given the current evidence, expected contribution, feasibility, alternatives, and opportunity costs, that is a strong reason to reassess rather than allowing previous investment to decide automatically for you.

A “no” does not necessarily mean abandon the project immediately. It tells you that something about the current project would lose in a fresh comparison. Your next task is to identify what that is and whether redesign can correct it.

03 · What You Need to Know

How Does the Clean-Slate Test Improve Research Decisions?

The test draws on the same reasoning used to counter sunk-cost effects: decisions about future investment should be based on prospective consequences rather than irrecoverable past expenditure. Research on sunk costs has shown that prior investments can increase people's willingness to continue a chosen course of action even when those costs should not determine the next decision.

The clean-slate question converts that abstract principle into something easier to use: Would I enter this project now?

Use Everything You Know Now

Clean slate does not mean pretending to be ignorant.

You retain everything the project has taught you. You know which literature exists, what the feasibility problems are, how the measures perform, what collaborators can contribute, what access has been secured, and which competing questions appear promising.

You remove only the psychological weight of having already chosen the project.

Compare the Idea With Real Alternatives

Asking “Is this still a good idea?” can produce an easy yes because many ideas are defensibly good.

A harder question is: “If I had the same remaining time and resources and could choose among my realistic alternatives today, would this be the one?”

Research resources have opportunity costs. Choosing one project means not choosing another, at least for now.

The clean-slate test is therefore comparative rather than merely evaluative.

Recheck the Problem

Would you still regard the underlying problem as real and consequential?

Your understanding may have changed. Initial assumptions may have weakened. The issue may now appear primarily practical rather than scientific, or the original problem may have been framed too broadly.

If you were starting today, would the evidence still support the research problem as stated?

Recheck the Gap

The literature may have changed since the project began, but so may your ability to search it.

Researchers often discover relevant terminology and adjacent literatures only after months of reading. What originally appeared unstudied may now look well covered. Conversely, a vague gap may have become a much sharper unresolved uncertainty.

Ask whether you would still identify the same research gap after searching with what you know today.

Recheck the Contribution

Imagine the study completed successfully.

What becomes knowable afterward that is not adequately knowable now? Would that contribution be enough to make you select the project over alternatives?

This is stricter than asking whether the study is publishable or technically novel. The expected contribution should be sufficiently distinct to warrant the additional evidence.

Recheck Feasibility Using Observed Rather Than Imagined Conditions

At the beginning of a project, feasibility often consists partly of assumptions. Months later, you may have actual evidence.

You know how responsive potential sites are. You may know how long approvals take. You may have inspected the data. Perhaps you tried recruitment, piloted the instrument, or discovered the analysis requires expertise not originally anticipated.

If you were choosing today, use those observations rather than the optimism embedded in the first proposal.

Do Not Give the Current Project a Head Start in the Comparison

The existing project naturally has advantages. The literature review exists. Instruments may be prepared. Ethics documents may be drafted. Those advantages are real because they reduce the remaining cost.

Include them.

But do not add another invisible advantage called “because this is already my project.” The clean-slate comparison should include actual assets, not psychological ownership.

A Different Answer Today Does Not Mean the Original Decision Was Wrong

This distinction matters.

You may have made an entirely rational decision twelve months ago using the evidence available then. New publications, feasibility information, technological changes, institutional constraints, or better understanding can make another decision rational today.

Research planning is not a court case in which changing your mind proves that your earlier self was guilty of poor judgment.

The question is whether the decision should change when the information changes.

Ask Whether You Would Choose the Question but Not the Study

You may still care deeply about the underlying research question while no longer choosing the current design.

Perhaps another design would answer it more convincingly. A synthesis may now be more useful than new primary data. A narrower study may be feasible. A collaboration could provide stronger evidence than proceeding alone.

In that case, the clean-slate test has not rejected the research problem. It has separated the problem from the particular study built around it.

Ask Whether You Would Choose the Study but Change Its Scope

Sometimes the central idea survives while peripheral ambitions do not.

If you were starting today, perhaps you would keep the primary question but remove two secondary outcomes, one unnecessary population, and an expensive qualitative component. That is useful information.

The test can lead to narrowing rather than abandonment.

Consider the Remaining Timeline, Not the Timeline You Originally Had

A study that was feasible with three years remaining may not be feasible with eighteen months remaining.

Do not ask whether the project was appropriately scoped at conception. Ask whether it is appropriately scoped now.

This is particularly important for longitudinal projects, doctoral research, grants approaching their end dates, or studies dependent on academic and institutional cycles.

Compare the Least Favorable Plausible Outcomes

The clean-slate test should not compare projects only under ideal results.

Suppose the hypothesis is unsupported. The effect is smaller than expected. The main result remains somewhat inconclusive. Would you still choose the study because those outcomes would teach you something worth knowing?

A project whose attractiveness depends entirely on one favorable result may look less compelling when evaluated prospectively.

Use an Outside Perspective

Imagine you are evaluating the project as a supervisor, funder, collaborator, or peer reviewer who has no personal investment in its history.

Would you advise a researcher with your current resources to begin it today?

This does not produce an objective answer, but it can expose reasons that sound persuasive only when spoken from inside the project.

A “No” Is a Diagnostic Result, Not an Automatic Stop Signal

If you would not choose the project today, ask why.

Reason for saying no Possible implication
The gap has largely disappeared Redirect toward remaining uncertainty or reconsider the study
The question still matters but the design is weak Redesign rather than abandon the underlying problem
The study is no longer feasible Narrow, collaborate, postpone, or change approach
The contribution is too small Find a more consequential uncertainty
Another project now has greater expected value Compare opportunity costs explicitly

The important part is identifying what changed the answer.

A “Yes” Should Also Have Reasons

The test should not become a ritual in which you predictably rediscover that your existing project is excellent.

If you would choose it again, explain why using current evidence. The problem remains consequential. The gap survives. The contribution is distinct. The design is feasible. The study compares well with realistic alternatives.

A reasoned yes is stronger than continuity by default.

Watch Out

Do not answer the clean-slate question by imagining that a new project would start from zero while your current project keeps all of its accumulated advantages. Compare realistic options from today's position, including reusable assets, but remove the idea that the current project deserves priority merely because it is already yours.

04 · A Practical Example

What a Research Idea Looks Like When Its History Is Temporarily Removed

Hypothetical Example

Would You Still Choose the Same AI-in-Education Study?

A researcher has spent nearly a year developing a study examining predictors of university students' intention to use generative AI. The questionnaire is ready, a site is available, and the researcher knows the literature extremely well.

Remove the project's history The researcher imagines receiving the idea today together with all current knowledge, access, instruments, and available resources.
Compare current evidence Several recent studies already estimate similar relationships across comparable populations, reducing the informational value of another conventional acceptance model.
Compare realistic alternatives The researcher identifies another question about the discrepancy between students' stated willingness to use AI and their actual decisions when AI use carries different academic-integrity implications.
Evaluate feasibility The alternative can use the same participant access and some existing measures, although the design requires additional behavioral tasks.
Make the clean-slate choice Given today's evidence, the researcher would choose the behavioral question rather than the original intention model.
Use the result Instead of treating the answer as proof that the previous year was wasted, the researcher uses it as evidence that the project should be redesigned while much of the accumulated infrastructure remains useful.

The clean-slate test works because it asks which research deserves the resources that remain, not which research has already consumed the most.

05 · What Researchers Often Get Wrong

What Can Distort the Clean-Slate Test?

Misconception

You Must Pretend the Existing Work Does Not Exist

No. Existing instruments, data, permissions, skills, collaborations, and other assets affect today's options and should be included. What you remove is the belief that prior investment itself creates an obligation to continue.

Misconception

If You Would Choose Differently Today, the Original Choice Was a Mistake

Not necessarily. Rational decisions can change when evidence, constraints, opportunities, or priorities change. Evaluate the earlier decision using what was reasonably knowable then and the current decision using what is known now.

Misconception

A Better New Idea Means You Should Immediately Abandon the Current Study

Remaining costs, completion obligations, participant commitments, salvageable outputs, and the feasibility of the alternative still matter. Compare the options rather than replacing one impulse with another.

Misconception

You Should Keep the Study Because It Is Already Feasible

Feasibility is necessary but not sufficient. An easy study may still address a question that no longer matters enough. The clean-slate test considers value and alternatives alongside feasibility.

Misconception

You Should Change Projects Whenever Something More Interesting Appears

No. New ideas also carry uncertainty, switching costs, and feasibility risks. The comparison should concern expected research value and realistic future costs, not novelty or temporary enthusiasm.

06 · What This Means for You

Reapply Your Original Selection Criteria From Scratch

Imagine that you are choosing your research project today. Evaluate the existing project exactly as you would evaluate a new proposal.

Do not give it extra points for familiarity.

A simple decision framework

If you would confidently choose the same idea again
Continue, but articulate the current evidence supporting its problem, gap, contribution, feasibility, and value.
If you would choose the same question but another design
Redesign while preserving useful work that remains relevant.
If you would choose a narrower version
Remove peripheral objectives and protect the evidence needed for the most consequential uncertainty.
If you would choose another question entirely
Compare the future value, switching costs, obligations, and feasibility of changing direction rather than defaulting to continuation.
If you cannot tell which idea you would choose
Identify what additional information would change the decision and obtain that information before making another large commitment.

The test ultimately prepares you for a question that reviewers, supervisors, funders, and sometimes your future self may ask much less gently: why does this study need to exist?

07 · A Quick Checklist

Would You Select This Research Idea Again Today?

Evaluate the idea as though you were choosing today:
Does the research problem remain real and important based on current evidence?
Does a genuine and consequential gap still remain?
Would the study still make a sufficiently distinct contribution?
Is the research question answerable with the participants, data, time, expertise, and resources currently available?
Does the proposed design compare favorably with realistic alternatives?
Would the study remain informative across less favorable plausible results?
What alternative research could I pursue with the remaining resources?
If this were someone else's project rather than mine, would I recommend starting it today?
08 · Frequently Asked Questions

Questions About Reassessing a Research Idea

How is this different from simply asking whether my study is still good?

The clean-slate test removes continuation as the default. Instead of asking whether the existing study remains defensible, you compare it with what you would realistically choose today given current evidence, resources, and alternatives.

Should I ignore all the work I have already completed?

No. Retain assets that change today's options, such as data, instruments, permissions, expertise, code, and collaborations. Ignore only the idea that irrecoverable effort makes additional investment worthwhile by itself.

What if I would choose the same topic but a different research question?

That may indicate that the broader problem remains valuable while your understanding of the most important uncertainty has improved. Consider redesigning around the stronger question and preserving previous work that remains relevant.

What if I would not choose the project today but I am nearly finished?

Compare the small remaining cost of completion with the value and obligations associated with finishing. Near completion can make continuation rational prospectively even when you would not initiate the same project from the beginning today.

How often should I use the clean-slate test?

It is particularly useful when consequential new information arrives, when major commitments are about to be made, or when the project repeatedly encounters problems that challenge its original rationale or feasibility.

What if I keep answering yes because I genuinely still like the idea?

Interest matters, but test the answer against external criteria. State the current problem, gap, contribution, feasibility, and realistic alternatives. If the justification remains strong without relying on personal attachment, the yes becomes more informative.

09 · The Bottom Line

Your Research Idea Should Be Able to Win Its Place Again

The Bottom Line

Evaluate your research idea as though you were choosing today, using the evidence, constraints, opportunities, and alternatives that exist now rather than allowing the history of the project to determine its future automatically.

If you would choose it again, you have a current reason to continue. If you would not, identify whether the problem lies in the question, design, contribution, feasibility, or opportunity cost. The purpose is not to punish past decisions. It is to make the next one using the best information you now have.

10 · Sources and Further Reading

Sources and Further Reading

11 · Cite this Guide

How to Cite This Guide

This guide is intended to be read, shared, and used in research, teaching, and academic work. If you draw on its ideas, explanations, or other content, please acknowledge the source by citing the guide. Doing so gives appropriate credit and helps your readers locate the original resource.

Has the Field Guide helped your research?

If a guide helped clarify a question, inform a research decision, or move your work forward, I would love to hear about your experience. Your story may also help other researchers discover the Field Guide.

Share Your Experience
Takes only a few minutes