Consume
Read values, encodings, patterns, uncertainty, and unfamiliar forms.
Human capability
“Novice” and “expert” hide the skill AI is actually changing.
A person can read a familiar dashboard but not code, know the domain but not visual design, or implement polished charts without being able to audit a misleading transformation. Evaluate the relevant capability, not one rank.
Construct
Select data, choose a form, map fields, implement, annotate, and revise.
Critique
Test source fidelity, hidden transformations, misleading design, and omissions.
Connect
Relate the chart to domain meaning, audience, story, decision, and consequence.
Every competency is contextual. Data and statistical knowledge, domain semantics, visual design, implementation, situated judgment, and delivery experience are separate resources. AI may remove one barrier while leaving the others intact.
Growing the skill
The bottleneck moved from making the chart toward judging what was made.
That does not make direct work obsolete. It changes which difficulty deserves practice. The right test is what the person can explain, inspect, repair, and transfer after assistance is removed.
Implementation consumed the entry budget.
Tool access, syntax, debugging, scattered examples, and blank-page uncertainty kept many people from attempting the work.
Both mechanics and judgment required direct practice.Explanation and production are cheaper than independent judgment.
Learners report faster coding and debugging. Proactive question-based scaffolding can improve immediate post-removal comprehension. Delayed construction transfer is mostly unmeasured.
Assisted performance and learning must be scored separately.Direct work becomes an audit and recovery capability.
More routine implementation will be delegated. Mental models, critique, verification, local repair, and reader responsibility remain the scarce work.
Revisit if answer-oriented assistance demonstrates delayed transfer to unfamiliar tasks.Judgment that makes a plausible chart trustworthy.
Framing · data semantics and statistics · critique · verification and calibration · alternative comparison · domain and audience judgment · accessibility · provenance and delivery
Material fluency for inspection and recovery.
Direct construction · data wrangling · code and specification reading · sketching · hand-checking values · debugging transformations · precise local repair
Recall work whose value decays with tools and models.
API trivia · boilerplate · exhaustive taxonomy recall · manual pixel polishing · prompt incantations · deep recall of one tool's transient interface · first-render speed as a badge of skill
What “the hard way” should preserve: predict before revealing, translate questions into fields and encodings, check sample values, generate alternatives before seeing suggestions, diagnose before repair, explain decisions, and periodically transfer without assistance. Boilerplate and API hunting do not become educational merely because they are slow.
Semester-long visualization course study ↗ · Proactive scaffolding experiment ↗ · One-year visualization retention ↗ · Guardrails and unassisted learning ↗
Capability profileMost credible gainWhat remains unbankedEvidence
Low visualization + implementation fluencycurrent novice evidence
Access to a first chart, code path, explanation, and more candidate ideas
Correctness, hidden-choice detection, verification, and reliable repair
Access: moderateAccepted work: low
Learner with some data or tool fluencycourse studies plus one randomized comprehension test
Reported speed, engagement, confidence, mechanics reduction, and immediate post-removal comprehension from proactive scaffolding
Delayed independent construction and transfer to unfamiliar tasks; creativity and artifact-quality findings remain mixed or modest
Near transfer: promisingDelayed transfer: unknown
Intermediate practitionerfour-person cell in the best direct study
Turning critique, alternatives, and unfamiliar implementation into useful edits
A general “sweet spot”; the direct expertise-stratified sample is too small
PromisingNot settled
Visualization expertcritique and scientific replication
Bounded multiplication: option filtering, representation bridging, debugging, and constrained implementation
Open-ended judgment, production delivery, and a universal advantage over direct work
Bounded: moderateField: low
Domain expert, weak chart or code fluencyimportant but under-studied profile
Translation of domain intent into a query, table, code candidate, or familiar chart
Audit of joins, measures, uncertainty, interaction, and generated implementation
Direct evidence: thin
A gain is banked only at the outcome that matters.
Access is successful new work. Productivity is less total effort to an accepted artifact. Quality uses a declared correctness or usefulness rubric. Learning survives an unassisted transfer test. Verification detects and repairs defects. Reader outcome changes comprehension or decisions. Satisfaction and first-render speed do not stand in for the other rows.
Three cost receipts
Declare the budget. Observe every attempt. Count only contract-passing work as accepted.
One of eleven held fragments now matches a partial call/output-token budget, but its released accounting omits repair and failed-worker cost and its “final reports” are candidates. Zero comparisons join equivalent observed route-wide use to a frozen accepted-output denominator. Ask what was promised, what every attempt actually used, and how many became work you could accept.
The design requirement is not to pick one “user level.” Expose consequential choices for people with less construction skill, preserve precise control for experienced practitioners, and let every person verify through a representation they understand. One current experiment demonstrates immediate post-removal comprehension from proactive scaffolding; durable construction gain and AI-caused atrophy remain unestablished.
Visualization literacy review ↗ · Who counts as a novice? ↗ · Visualization learning ↗ · Creativity and time ↗ · Current novice study ↗ · Expert replication ↗