A practical 12-question self-assessment managers can complete, save, and use to plan targeted learning. Includes guided scoring, suggested learning actions, and a ready-to-run 30-minute coaching script for one-on-one development conversations.
{
"Title": "Manager's Data Literacy Quick Assessment",
"IntroductionHtml": "
Use this short assessment to quickly identify strengths and gaps in your everyday data literacy and statistical thinking as a manager. It focuses on chart interpretation, uncertainty reasoning, spotting bias, and running data-informed conversations. The form saves your responses so you can track progress and bring concrete observations to a coaching conversation.
",
"SubmitLabel": "Save my responses",
"SuccessMessage": "
Scoring & next steps
Thank you — your responses are saved. Calculate your total by summing the 12 item scores (each 0–4, total range 0–48). Use the rubric below to interpret the result, then review the suggested learning actions and the 30-minute coaching script to turn insights into concrete development.
Scoring rubric
- 36–48 (Strong): Comfortable reading charts, explaining uncertainty, and leading data conversations. Focus on spreading best practices across your team.
- 24–35 (Developing): Solid basics but some gaps under pressure or with ambiguous evidence. Pick 1–2 targeted habits to practice.
- 0–23 (Needs attention): Work on core chart reading, basic probability/uncertainty reasoning, and structured questioning before making consequential decisions.
Suggested learning actions
- Chart-reading drills: Practice extracting headline, source, and axis/scale artifacts from one chart per week.
- Uncertainty habit: For every metric discussed, state a plausible confidence range and one thing that would change your interpretation.
- Bias checks: Ask: who chose this measure? what was excluded? what selection or survivorship effects are possible?
- Meeting facilitation: Use a short data-brief template (headline, context, confidence, recommended next step) to keep conversations action-focused.
30-minute coaching script (ready to run)
Set-up (2 minutes): "I want to use this time to support your development with data. We’ll look at your assessment, pick one practical habit to practice for two weeks, and set a short experiment to try."
- Review results (5 minutes)
Ask the manager to summarise their top 2 strengths and top 2 gaps from the assessment. Listen for specific examples where a gap showed up.
- Contextual example (8 minutes)
Bring a recent decision or meeting example. Ask: what did the data say, how confident were you, what questions stayed unanswered, and what might you do differently next time?
- Pick one practice (8 minutes)
Offer one of the suggested learning actions and adapt it to the manager's work. Define a small experiment (e.g., "For the next two weekly team meetings, I will open each data item with a one-sentence headline and a confidence range").
- Commitments & follow-up (5 minutes)
Record the action, agree how progress will be observed (e.g., show one meeting recording, bring one chart to next 1:1), and schedule a 15-minute follow-up in two weeks.
",
"DataType": "ManagerDataLiteracyAssessment",
"SchemaVersion": "1.0",
"Fields": [
{
"Key": "respondent_name",
"FieldType": "text",
"Label": "Your name",
"HelpText": "Optional — useful if you want this saved to your profile or shared with a coach"
},
{
"Key": "role_team",
"FieldType": "text",
"Label": "Role / team",
"HelpText": "e.g., Operations Manager, Customer Success"
},
{
"Key": "assessment_date",
"FieldType": "text",
"Label": "Date",
"HelpText": "YYYY-MM-DD or 'Today'"
},
{
"Key": "q1_chart_headline",
"FieldType": "scale",
"Label": "I can quickly identify the headline (main message) from most charts shown to me.",
"HelpText": "0 = Never, 1 = Rarely, 2 = Sometimes, 3 = Often, 4 = Always",
"ScaleMin": 0,
"ScaleMax": 4
},
{
"Key": "q2_axes_units",
"FieldType": "scale",
"Label": "I routinely check axes, units, and scales to ensure I’m not misled by a chart's presentation.",
"HelpText": "0–4",
"ScaleMin": 0,
"ScaleMax": 4
},
{
"Key": "q3_sample_bias",
"FieldType": "scale",
"Label": "I can spot when selection, survivorship, or sampling bias may be affecting reported results.",
"HelpText": "0–4",
"ScaleMin": 0,
"ScaleMax": 4
},
{
"Key": "q4_confidence_intervals",
"FieldType": "scale",
"Label": "I can explain what a confidence interval or margin of error implies for a metric.",
"HelpText": "0–4",
"ScaleMin": 0,
"ScaleMax": 4
},
{
"Key": "q5_noise_vs_signal",
"FieldType": "scale",
"Label": "I can distinguish short-term noise from meaningful trends in operational metrics.",
"HelpText": "0–4",
"ScaleMin": 0,
"ScaleMax": 4
},
{
"Key": "q6_causation",
"FieldType": "scale",
"Label": "I avoid assuming causation from correlation and can suggest plausible alternative explanations.",
"HelpText": "0–4",
"ScaleMin": 0,
"ScaleMax": 4
},
{
"Key": "q7_kpi_choice",
"FieldType": "scale",
"Label": "I can explain why a given KPI is meaningful and what behaviors it incentivizes.",
"HelpText": "0–4",
"ScaleMin": 0,
"ScaleMax": 4
},
{
"Key": "q8_small_sample_caution",
"FieldType": "scale",
"Label": "I know when sample sizes are too small to support confident conclusions.",
"HelpText": "0–4",
"ScaleMin": 0,
"ScaleMax": 4
},
{
"Key": "q9_questioning",
"FieldType": "scale",
"Label": "I ask clear, targeted questions about data sources, definitions, and limitations in meetings.",
"HelpText": "0–4",
"ScaleMin": 0,
"ScaleMax": 4
},
{
"Key": "q10_action_orientation",
"FieldType": "scale",
"Label": "I turn data reviews into recommended next steps rather than open-ended discussions.",
"HelpText": "0–4",
"ScaleMin": 0,
"ScaleMax": 4
},
{
"Key": "q11_uncertainty_statement",
"FieldType": "scale",
"Label": "I routinely state my confidence level and what evidence would change my view.",
"HelpText": "0–4",
"ScaleMin": 0,
"ScaleMax": 4
},
{
"Key": "q12_team_capability",
"FieldType": "scale",
"Label": "I know where my team needs training to improve data conversations and review cycles.",
"HelpText": "0–4",
"ScaleMin": 0,
"ScaleMax": 4
},
{
"Key": "total_score",
"FieldType": "number",
"Label": "Total score",
"HelpText": "Enter the sum of your 12 item scores (range 0–48). This lets you track progress over time."
},
{
"Key": "top_gaps",
"FieldType": "checkbox",
"Label": "Which areas feel like your biggest gaps? (select up to 3)",
"HelpText": "Choose the areas you plan to focus on first.",
"Options": [
{ "Value": "chart_literacy", "Label": "Chart reading & axes" },
{ "Value": "uncertainty_reasoning", "Label": "Uncertainty & confidence" },
{ "Value": "bias_sampling", "Label": "Bias & sample issues" },
{ "Value": "kpi_design", "Label": "KPI choice & incentives" },
{ "Value": "meeting_facilitation", "Label": "Running data-informed meetings" },
{ "Value": "action_orientation", "Label": "Turning data into decisions" }
]
},
{
"Key": "action_plan",
"FieldType": "textarea",
"Label": "3-step action plan (one short, practical commitment)",
"HelpText": "Write 3 short items: 1) what you will do this week, 2) how you will check progress, 3) when you'll review results."
},
{
"Key": "request_coaching",
"FieldType": "yesno",
"Label": "Would you like a 30-minute coaching session to work through one concrete practice?",
"HelpText": "Selecting 'Yes' helps a manager or coach prioritize follow-up."
}
]
}