Predictions often compress a complex future into a clear sentence. A more useful exploration makes its assumptions visible and considers what could change them.
Look at the surrounding conditions: cost, access, infrastructure, regulation, and everyday habits. Technical capability is only one part of adoption.
Keep more than one possible outcome in view. Revisit the evidence over time, and let an improved understanding matter more than defending the first forecast. A short record of what changed can show which assumptions were useful and which ones deserve another look.
An example to consider.
A promising feature might deserve a note about the problem it addresses and the evidence still missing. Both belong beside the attractive possibility.
Put it in perspective.
A visible improvement needs a useful comparison. Describe the earlier condition and the task that should become easier, then look for the actual change.
- List the assumptions behind a prediction.
- Look for evidence about adoption.
- Consider another plausible outcome.
Follow a related question
Write the assumptions beside the calculation.
An estimate with visible assumptionsDistinguish local preferences from account data.
Where a cloud application livesKeep learning
Related background to continue exploring this subject.
Google: an introduction to language models NIST: AI risk management framework