Signal-Based Investment Triage
Invest, improve, or stop work according to the strength of its signal
- Difficulty
- Easy
- Time to result
- ~days to results
- Steps
- 6
- Confidence
- 96%
Signal-Based Investment Triage divides existing initiatives into three decision buckets. Work producing strong evidence and aligned with company goals receives more investment. Work showing partial promise receives a specific intervention intended to strengthen the signal. Work that has adequately tested its hypothesis without producing results is stopped, and its resources are reallocated to one of the first two buckets. The model separates the quality of the original hypothesis from blame directed at the team, making cancellation a normal portfolio decision. It also counters the tendency to let mediocre projects linger because ending them forces difficult staffing or budget choices. Used during annual and quarterly reviews, the framework continually concentrates resources around validated opportunities rather than distributing them evenly across historical commitments.
Origin
Extracted from Marketing Against The Grain as Kieran Flanagan explained how he planned to evaluate Zapier initiatives for the coming year.
Core principles
- 01Evidence should determine the next allocation decision
- 02Strong signals deserve concentrated investment
- 03Promising but weak results require deliberate improvement
- 04Failed hypotheses should release resources quickly
- 05Stopping work is a strategic decision, not an admission of personal failure
How to run it
- 1
Inventory the portfolio
List every meaningful initiative and the people, budget, and strategic goal attached to it. Exclude routine work that cannot reasonably be stopped.
Pro tip Use comparable evidence windows where possible.
Watch out Hidden maintenance costs can make a weak initiative appear cheaper than it is.
- 2
Assess the signal
Review results against the original hypothesis and classify each initiative as strongly working, partially working, or not working. Distinguish evidence from enthusiasm.
Pro tip Record the metric or observation supporting each classification.
Watch out Do not protect an initiative merely because substantial time has already been invested.
- 3
Invest behind strength
Increase resources for initiatives with clear signal and strong alignment to company goals. Define what additional investment is expected to unlock.
Pro tip Look for opportunities where extra resources can compound an existing advantage.
Watch out Strong historical results do not eliminate the need for continued measurement.
- 4
Augment partial performers
For work with credible but insufficient signal, choose a specific change to positioning, execution, talent, or distribution. Give the revised attempt a bounded evaluation period.
Pro tip Change one major variable at a time when practical.
Watch out An undefined extension simply allows the project to fester.
- 5
Stop failed hypotheses
End initiatives that received a fair test but produced no useful signal. Frame the decision around the hypothesis rather than personal blame.
Pro tip Document what was learned before closing the work.
Watch out Avoid granting repeated extensions solely to postpone difficult staffing decisions.
- 6
Reallocate immediately
Move released people and budget toward strong initiatives or bounded improvement attempts. Confirm that the new allocation supports current company priorities.
Pro tip Make reallocation part of the stopping decision rather than a later discussion.
Watch out Resources left unassigned often drift back into the discontinued work.
In the wild
A marketing team reviews three programs. A partner webinar series consistently creates qualified pipeline, a new community produces engagement but few conversions, and a costly generic newsletter shows neither audience growth nor revenue impact. The team expands the webinar program, gives the community one quarter to test a member-referral mechanism, and closes the newsletter while moving its editor to partner content.
→ Resources move from an unsupported hypothesis into a proven channel and a bounded improvement test.
Common mistakes
Letting weak projects fester
Repeatedly granting more time without a defined change or success threshold delays the necessary allocation decision.
Blaming people before testing the hypothesis
Poor results may reflect the wrong problem or model rather than poor effort, so diagnose the hypothesis and execution separately.
Stopping without reallocating
Cancellation creates value only when the released capacity is redirected toward more promising work.
Is it for you?
Best for
Leaders reviewing a portfolio of growth, marketing, or product initiatives during planning and budgeting.
Not ideal for
Very early experiments that have not yet run long enough to produce interpretable evidence.
From the transcript
“is is the working invest more is this kind of doing okay and can I make it better I'll invest there is the not working…”
“what have we try to no fault like execution or the team or anything like that what if we tried it just hasn't done it…”
“is it the wrong problem to work on is it the bad execution and do I have the wrong talent”
From the episode
6 Marketing Mistakes Holding You Back From 10Xing Your Business (#164)