Why I built Factics, how I use Factics, and what Factics has held up against.
I have spent most of my working life on one side or the other of an information exchange. Designing a course. Running an event. Writing an article. Advising a client. Publishing a book. Briefing a room. The pattern underneath all of it is the same, and it is a transaction most people never name.
Someone gives me their time. I owe them something back.
That obligation is easy to state and hard to keep. It is possible to fill an hour, a page, or a deck with accurate information and still leave the other person with nothing they can use. I watched that happen constantly, and for a while I watched myself do it. Factics is the method I built so it would stop happening, and it is the method I still run everything through.
What Factics Is
The name comes from two words, Fact and Tactic, and the method carries a third element that completes it.
Facts and data establish what is known. Verified, sourced, and distinguishable from assumption or preference.
Tactics and strategies establish what to do with what is known. A specific action rather than a recommendation or a suggestion.
Goals, outcomes, and KPIs establish what happened because the action was taken. A measurement defined in advance, not a result narrated afterward.
The governing principle of the method is this:
Every fact must lead to a tactic, and every tactic must leave evidence.
The Factics Triangle. Facts and Data lead to Tactics and Strategies, which lead to Goals, Outcomes, and KPIs. The dashed return path, labeled Verify and Adjust, carries the result back to the evidence before the tactic changes.
Reduced to its shortest form, Factics asks three questions of any claim, briefing, proposal, article, or recommendation:
- What do we know?
- What do we do with what we know?
- What happened because we did it?
A claim that cannot answer all three has not met the standard. It may still inform a decision, but its evidentiary limits should stay visible to whoever is deciding.
The Third Element Is Where the Work Usually Fails
I rarely struggle with the first two questions, and neither do most organizations I have worked with. We are good at producing evidence and good at producing recommendations. The failure sits at the measurement.
The test is timing. If I cannot define the measurement before I take the action, the action is not real. A KPI written after results arrive is a narrative, because whatever happened becomes the thing I meant to do. A KPI written first is a commitment, because it can fail.
Measurement tests whether the action produced the effect. Measurement defined in advance keeps the answer from being written after the fact.
That single sequencing rule accounts for most of what Factics changes in practice. Content produced without it becomes entertainment rather than value delivery. Strategy produced without tactics generates awareness without capability. Recommendations produced without measurable outcomes make success and failure indistinguishable once the quarter closes.
How I Use It
As the reasoning pattern in the work itself. The chain is not a structure I add to a finished piece. It is how I think the piece through. Short work should carry at least one complete chain, because anything too brief to hold evidence, action, and measurement together is usually too brief to support a decision. Longer work runs on the pattern as its default mode of reasoning rather than saving it for a conclusion.
The test is proportion rather than count. A reader should not be able to reach the end without meeting the three elements together, and the more of someone’s time a piece asks for, the more often that has to happen.
This carries to any format that asks for time. A recorded briefing, a conference talk, a podcast segment, and a slide deck each hold to the same expectation. The medium changes. What the audience is owed does not.
As a gate before anything reaches a decision. Before a recommendation goes to whoever is deciding, I express it as a complete chain. A finding that customer onboarding drops off at day four leads to a redesigned day-three touch point, measured by day-seven retention against the current baseline over one quarter. If any link is missing, the item goes back rather than forward. The result is fewer items reaching the decision and better items among them.
Across the verticals I work in, the method holds its shape while the content changes entirely.
In content and publishing, the fact is what the platform data and the audience behavior actually show, the tactic is the specific editorial or distribution move, and the KPI is the engagement, retention, or conversion figure that says whether the move landed. In strategy and consulting, the fact is the operational or market condition, the tactic is the intervention, and the KPI is the business number the client already tracks. In teaching and speaking, the fact is the research or the case, the tactic is what the participant will do differently, and the KPI is whether they can demonstrate it before they leave the room. In policy and research, the fact is the cited evidence, the tactic is the proposed mechanism, and the KPI is the observable condition that would show the mechanism working or failing.
Same three questions. Different nouns.
As a loop rather than a checklist. This is the part most often missed, and it is the part that makes the method self-correcting.
Facts and data are the relatively fixed component. They have to be verified, and if the evidence proves inaccurate, incomplete, or stale, it gets corrected. Evidence does not get changed because the outcome disappointed. That would defeat the whole method.
Tactics and strategies are the adaptable component. When measurement shows the intended result did not occur, my first move is to re-verify the evidence. If the evidence holds, the tactic becomes the variable. It gets changed and measured again.
This is the practical form of the distinction between correlation and causation. Holding information and taking an action does not establish that the action produced the effect. That is what the measurement is for, and defining it beforehand is what keeps the interpretation honest.
What Factics Will Not Do
It does not set priorities. Factics tells me whether a tactic worked. It does not tell me what I should have wanted, and no method can.
It slows the room. Requiring a defined measurement before approval removes the option of proceeding on conviction alone, which is occasionally the right call and more often the expensive one.
It sidelines claims that cannot be measured. Some of those claims are valuable, and some of them are the instinct that makes an experienced operator worth listening to. Factics does not forbid acting on them. It forbids presenting them as evidence.
Why This Matters More Under AI Than Before It
Generative AI raises the volume of available information, analysis, recommendations, and proposed actions by an order of magnitude. It does not raise the quality of the judgment applied to any of it. The gap between what an organization can produce and what it can justify has widened, and that gap is what Factics measures.
Four distinctions carry the weight:
- Capability is not value
- Output is not evidence
- Recommendation is not decision
- Completion is not success
An AI implementation cannot be evaluated by whether the system generated an answer, completed a task, or produced more content. The relevant question is what happened when that output entered a real decision and a real budget. That is a KPI question, and organizations that never defined one before deployment have no way to answer it now.
The loop applies without modification. When an AI-assisted action fails to produce the intended result, the sequence is the same. Verify the evidence first. Was the information accurate, was something missing, were assumptions treated as facts, did the system misread the context. If the evidence holds, examine the tactic. Was the recommendation appropriate, did a human accept or modify or reject it, what changes before the next cycle.
AI accelerates portions of that cycle. It does not remove the need for it.
Three frameworks carry these three questions into multi-AI work, and each one answers a different part of it. HAIA-RECCLIN structures what a single platform has to declare before its answer earns any authority. HAIA-CAIPR runs the same question across several platforms at once and reads the disagreement. Checkpoint-Based Governance puts a named human at the decision and leaves a record of what they chose. None of them works without the evidence discipline underneath, which is why Factics needs no AI and comes first.
Where Factics Came From
The method has a longer history than the AI conversation it now serves, and the sequence explains its shape.
Higher education. The origin is the Learning Outcomes discipline, which requires every educational experience to state what a participant will know, understand, or be able to do because they gave their time to it. I applied it at Stony Brook University designing curriculum for credit-bearing courses and building ethics training programs. The standard was simple. Presenting information was not enough. A program had to produce identifiable value for the person who showed up.
The professional gap. Moving into digital and social media events around 2009 and 2010, I found an environment that did not work that way. Presentations centered on the speaker’s success, the speaker’s company, or the speaker’s product. The academic question of what the audience actually received for its time was rarely asked.
Teachers NOT Speakers, approximately 2011. My response was to demand a structural change in the events I was involved with. A speaker tells an audience what they know. A teacher carries an obligation to consider what the audience will know or be able to do afterward. The philosophy became explicit at the first Social Media Action Camp in 2012 at Social Media Week NYC.
The naming, 2012. Teachers NOT Speakers solved the problem for conferences. Learning Outcomes belonged to academia. Neither gave me a universal concept I could apply to a blog, an article, a book, a video, or a business strategy. Facts paired with tactics did, and the two words produced the name. I shared Factics verbally for the first time on stage at the Social Media Action Camp held at NYXPO, Javits Center, in October 2012, while explaining the Teachers NOT Speakers philosophy. Its first print introduction followed on November 27, 2012, in Digital Factics: Twitter.
Measurement completes the method, 2013 onward. Applying Factics across content and consulting work exposed what evidence and action alone could not answer. Having a fact and having a tactic still does not establish whether the application worked. Goals, outcomes, and KPIs closed that gap and turned a pairing into a cycle.
Application to AI, 2022 onward. AI entered a workflow already governed by this discipline. Early model outputs delivered answers without sources, which failed the method directly. My response was a second prompt sent after every output requiring the facts, tactics, KPIs, and sources behind the answer, followed by independent source verification through a second platform. That practice preceded the vocabulary now attached to it, and it became the foundation of the structured multi-AI and checkpoint governance work I do today.
The intelligence argument, 2024. In February 2024 I published the position that the method does more than organize information, and that operating inside the loop measurably improves applied judgment over time. That remains a working position I have offered for validation rather than a settled finding.
The philosophy underneath all of it has not changed since the first learning outcome I wrote for a university course. If someone gives you their time, whether by attending a session, reading a report, sitting in a meeting, or approving a budget, they are owed something they can understand, apply, and measure.
Factics is the method that keeps that promise auditable.
Where Factics Leads
Digital Factics X
The second edition, applying the method to audience, authority, and revenue on the platform formerly known as Twitter.
HAIA-RECCLIN
The ten-field format that makes any AI platform show its work, and the workflow that spreads the work across platforms by job.
HAIA-CAIPR
Running one question across several AI platforms at once so the disagreement between them becomes the evidence.
Checkpoint-Based Governance
The named human at the decision, with a record of who decided, on what evidence, and why.
Sources
Puglisi, B. C. (2012). Digital Factics: Twitter. Digital Media Press. https://www.magcloud.com/browse/issue/471388
Puglisi, B. C. (2024, February 1). Factics make us more intelligent. BasilPuglisi.com. https://basilpuglisi.com/factics-make-us-more-intelligent/
Puglisi, B. C. (2025). Digital Factics X: Second Edition 2026. https://basilpuglisi.com/digital-factics-x/
Puglisi, B. C. (2026, February 1). My story: Why I think this way about AI. BasilPuglisi.com. https://basilpuglisi.com/my-story-why-i-think-this-way-about-ai/
Common Questions
What is the Factics methodology?
Factics is a method that pairs facts and data with tactics and strategies, then measures goals, outcomes, and KPIs to establish whether the action worked. It reduces to three questions: what do we know, what do we do with what we know, and what happened because we did it.
Where does the name Factics come from?
The name combines two words, Fact and Tactic. Facts and data establish what is known, and tactics and strategies establish what to do with it. Goals, outcomes, and KPIs complete the method as a third element, giving the cycle its measurement and its capacity to self-correct.
Why must a KPI be defined before the action is taken?
A KPI written after results arrive becomes a narrative, because whatever happened turns into the stated intent. A KPI written first is a commitment that can fail. Defining the measurement in advance keeps the interpretation of a result from being invented once the result is known.
How does Factics apply to AI output?
AI produces fluent answers quickly, and fluency is not evidence. The working practice requires any model to return the facts, tactics, KPIs, and sources behind its answer, followed by independent source verification. Output that cannot be expressed as a Factics chain has not earned authority in a decision.
What does Factics not do?
It does not set priorities and cannot say what an organization should want. It slows decisions by requiring a defined measurement before approval. It sidelines claims that cannot be measured, without forbidding action on them, and forbids only presenting such claims as evidence.
When was Factics created?
The method grew out of the Learning Outcomes discipline in higher education. It was first shared verbally at the Social Media Action Camp held at NYXPO, Javits Center, in October 2012, and received its first print introduction in Digital Factics: Twitter on November 27, 2012.
Basil C. Puglisi, MPA
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