Suspending Judgment in FP&A: How to Observe Economic Reality Without Bias
In the first post, I introduced Noetance as a space dedicated to suspending judgment — the deliberate practice of receiving Noema (phenomena) exactly as they appear, without immediately labeling them as good or bad.
Today, I want to explore what that philosophy looks like in practice — specifically in FP&A (Financial Planning & Analysis).
Why Judgment Gets in the Way
In FP&A, we are constantly surrounded by numbers: revenue forecasts, cost variances, cash flow projections, and economic indicators. It is tempting to quickly judge them:
- “This variance is terrible.”
- “The economy is clearly weakening.”
- “This forecast is too optimistic.”
These snap judgments feel productive, but they often close our eyes to reality. Once we label something, we stop observing it clearly.
What Suspending Judgment Actually Means in FP&A
Suspending judgment does not mean ignoring analysis or becoming passive.
It means creating a brief mental space where you first observe the data as it is, before you interpret, evaluate, or react to it.
Practical examples:
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Instead of immediately thinking “Our Q2 forecast is too aggressive,” you first ask:
“What exactly is the data telling me right now? What assumptions are baked into this number?” -
When reviewing economic indicators, rather than jumping to “The economy is in trouble,” you start with:
“Let me see the raw trend, the context, and the relationships between variables first.”
This small pause — this stance of observation — often reveals insights that rushed judgment misses.
The Power of Clear Seeing
When we suspend judgment, we become better at three critical FP&A skills:
- Better Forecasting — We see the real drivers instead of forcing the data to fit our narrative.
- Better Decision Support — We present reality to stakeholders more honestly, not just what they want to hear.
- Better Risk Management — We detect early warning signs that our biases would otherwise dismiss.
This is what Noetance stands for: building a practice where we observe economic and financial reality with clarity, before we apply our opinions or models.
I will be sharing more practical examples in future posts — from how to review variance reports without immediate blame, to how to analyze New Zealand’s economic data with an unbiased eye.