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NETWORK ONLINE ARCHIVE 36 FILES ACCESS PUBLIC
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ALT//R&D FIELD SYSTEM Joshua Byrne

SYS-RND / 2026.04.08

A Research Backlog That Connects Strategy to Experiments

Prioritize uncertainties by strategic importance, decision timing, consequence, evidence gap, and cost to learn.

Field note: R&D teams can accumulate interesting questions faster than they can investigate them. A research backlog creates a transparent bridge between strategy and experiments by treating each item as a decision-relevant uncertainty rather than a favored solution.

Operational question

Which uncertainty, if reduced now, would most improve an upcoming strategic, investment, design, or safety decision?

A workable method

  1. Write uncertainty statements. Use a form such as: we need to know whether, for whom, under which conditions, before which decision. Link the item to a strategic objective.
  2. Estimate decision value. Score consequence, current uncertainty, decision proximity, reversibility, dependency, and cost of being wrong. Avoid precision that the inputs do not support.
  3. Choose the cheapest credible test. Match the method to the claim: desk research, expert elicitation, simulation, prototype, field observation, controlled experiment, or operational trial.
  4. Review as evidence changes. Close answered items, split broad questions, raise newly critical dependencies, and document why low-priority ideas remain parked.

What this looks like in practice

Instead of “build an AI tutor,” a backlog item asks whether novice engineers can identify fault-isolation steps more accurately with source-linked adaptive hints than with the existing job aid, before the next platform investment decision.

Evidence to collect

Choose a small set of measures before implementation. Record the baseline, the source of each measure, the review cadence, and who is authorized to act on the result.

  • share of research tied to named decisions
  • time from question to usable evidence
  • portfolio balance across strategic uncertainties

Field checklist

  • Write the decision, accountable owner, and decision date.
  • Describe the current workflow and the conditions that shape performance.
  • Confirm the source hierarchy, permissions, and local requirements.
  • Test the method under representative—not merely convenient—conditions.
  • Review both intended outcomes and burden on the people doing the work.
  • Record a change, escalation, and stop rule before results arrive.

Watch-out

Do not let scoring replace judgment. Use it to expose assumptions and disagreement, then make a documented portfolio decision that considers capacity and dependencies.

Source notes