Knowledge · Attitude · Practice · WHO STEPS aligned

Design WHO-aligned
KAP Assessments

3 dimensions. 11-section workflow. Deterministic item-quality checker. Built on WHO STEPS, COSMIN, AMEE Guide 87, and Tourangeau's 4-stage model.

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kap.rsminds.com / workflow
01Health Topic & Context
02KAP Framework (K→A→P)
05Knowledge Blueprint
06Attitude Blueprint
07Practice Blueprint
+ 6 more sections — see full workflow below
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KAP dimensions — Knowledge · Attitude · Practice

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workflow sections — topic to fielding-ready tool

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standards integrated · WHO STEPS, COSMIN, AMEE 87

0/mo

starts here · 7-day money back

How KAPMinds works

The 11-section workflow

Each section is its own AI-assisted accordion. Outputs flow forward — your KAP framework informs blueprints; blueprints inform item generation; everything assembles into a WHO-aligned synopsis.

01

Health Topic & Context

Inputs

Topic ideaTarget population

AI action

predictKAPTopic

Output

Health issue scoped, target population confirmed, KAP-scope rationale.

Saves 30–45 min of scoping deliberation
02

KAP Framework (K→A→P chain)

Inputs

Health topic

AI action

generateKAPFramework

Output

K→A→P causal chain with barriers, enablers, and target behaviour mapped.

Saves 1–2 hours of construct-mapping
03

Research Question & FINER

Inputs

KAP framework

AI action

draftKAPQuestion + auditResearchQuestion

Output

3 question drafts + FINER score (Feasible, Interesting, Novel, Ethical, Relevant).

Saves 2–3 hours vs manual drafting
04

Theory & Framework

Inputs

QuestionVariables

AI action

discoverTheories + generateFramework

Output

3 theory candidates (HBM, TPB, COM-B…) with citations + conceptual framework.

Saves 3–5 hours of literature triangulation
05

Knowledge Blueprint

Inputs

TopicFramework

AI action

generateKnowledgeBlueprint

Output

Knowledge domains, true/false vs MCQ item-types, correct-answer criteria.

Saves 1–2 hours of domain-decomposition
06

Attitude Blueprint

Inputs

Knowledge blueprint

AI action

generateAttitudeBlueprint

Output

Attitude dimensions (valence/strength), Likert anchors, reverse-scored items plan.

Saves 1–2 hours and aligns with DeVellis scale development
07

Practice Blueprint

Inputs

Attitude blueprint

AI action

generatePracticeBlueprint

Output

Target behaviours, frequency/recency anchors, observable indicators.

Saves 1 hour and avoids vague self-report items
08

Item Generation (K + A + P)

Inputs

All 3 blueprints

AI action

generateKAPItems

Output

AI-drafted K, A, P items aligned to blueprints — deterministic checker validates each.

Saves 4–6 hours and catches double-barreled / leading items
09

Quality Audit

Inputs

Generated items

AI action

auditKAPQuality

Output

Cultural sensitivity, literacy grade, WHO alignment, social-desirability flags.

Saves 2 hours of manual review per round
10

Scoring & Admin Plan

Inputs

Audited items

AI action

generateKAPScoring + generateKAPAdminPlan

Output

K/A/P scoring keys, KAP-gap index formula, admin mode, translation guidance.

Saves 2–3 hours of scoring-plan drafting
11

Synopsis Generation

Inputs

All previous sections

AI action

generateKAPSynopsis (parallel SSE)

Output

WHO-aligned KAP protocol exportable as DOCX, PDF, or Markdown.

Saves a full day of synopsis drafting

Three dimensions

K · A · P — every item-type covered

From true/false knowledge items to Likert attitude scales to frequency-anchored practice questions. Each dimension gets its own blueprint, item-type taxonomy, and scoring logic.

K

Knowledge

What respondents know — declarative & applied.

6 item-types
  • True / False

    Quick factual screen with chance-correction.

  • Single-best MCQ

    One correct of 4–5 options, distractors plausible.

  • Multi-select MCQ

    All-that-apply with partial-credit option.

  • Scenario-based

    Vignette-driven applied-knowledge probe.

  • Fill-in-the-blank

    Open-response with rubric-scored keys.

  • Don’t-know option

    Explicit DK to suppress guessing bias.

A

Attitude

What respondents feel — valence, strength, ambivalence.

6 item-types
  • Likert (5-point)

    Strongly disagree → strongly agree, classic.

  • Likert (7-point)

    Finer gradation for high-stakes constructs.

  • Semantic differential

    Bipolar adjective scale (e.g. safe–unsafe).

  • Reverse-scored

    Acquiescence-bias safeguard.

  • Visual analogue

    0–100 slider for continuous judgement.

  • Bogardus social-distance

    Stigma and acceptability gradient.

P

Practice

What respondents do — observable, time-bounded.

6 item-types
  • Frequency (anchored)

    Never · rarely · sometimes · often · always.

  • Recency (last-N days)

    Bounded recall window cuts memory bias.

  • Yes / No behaviour

    Binary screen for discrete actions.

  • Skill self-rating

    Behavioural-capability anchor (COM-B).

  • Time-use diary

    Duration-based self-report with anchors.

  • Observed-proxy

    Indirect indicator when self-report is biased.

Compliance

Built on the standards
your reviewers expect

Integrated

WHO STEPS

WHO Stepwise approach to NCD risk-factor surveillance

Integrated

COSMIN

COnsensus-based Standards for Measurement Instrument selection

Integrated

AMEE Guide 87

Developing questionnaires for educational research

Integrated

DeVellis Scale Dev.

8-step scale-development framework

Integrated

Tourangeau 4-stage

Comprehension · retrieval · judgement · response

Integrated

Tailored Design Method

Dillman survey-administration methodology

Integrated

AAPOR Standards

American Association for Public Opinion Research

Integrated

WHO KAP Survey Guide

WHO methodological framework for KAP studies

Integrated

CDC HEAT

CDC Health-Equity Assessment Tool guidance

Integrated

FAIR principles

Findable · Accessible · Interoperable · Reusable data

Integrated

Flesch–Kincaid

Readability scoring for item-stem literacy checks

Integrated

CHERRIES

Reporting checklist for web-based KAP surveys

Every item is checked against applicable standards in real time before fielding.

Why this matters

AI drafts items,
a checker catches the rest

Other tools

Give you items. That's it.

When the AI invents double-barreled questions, leading wording, technical jargon above your literacy target, or response-bias triggers — you won't notice until your pilot data is unusable or the ethics committee flags it.

KAPMinds

AI generates. Checker validates.

A deterministic checker re-reads every item for double-barreled stems, leading wording, social-desirability cues, Flesch-Kincaid grade above target, and acquiescence patterns. Fails are flagged with the exact rule violated.

  • Deterministic, not stochastic — same item, same verdict.
  • WHO STEPS, COSMIN, and AMEE Guide 87 rules built in.
  • Each fail returns a specific rewrite suggestion.
section 9 / quality audit · 24-item batch · attitude scale

AI-drafted items

24

8 K · 8 A · 8 P · Likert-5 anchors

Checker flagged

3

2 double-barreled · 1 leading

Pass rate

87.5%

21 / 24 cleared — rewrites suggested

Plans

Simple pricing

7-day money-back guarantee

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  • All 3 KAP dimensions
  • 11-section workflow
  • WHO-aligned synopsis exports
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FAQ

Frequently asked questions

Common questions from public-health researchers, supervisors, and IEC reviewers.

Is KAPMinds validated for South Asian populations?

The item-quality checker includes literacy targets (Flesch-Kincaid grade 6–8 default) and cultural-adaptation prompts suited to South Asian survey contexts. Final localisation and back-translation review by domain experts remain your responsibility before fielding.

Can I import a draft questionnaire I already have?

Yes. Paste your draft KAP items and the tool maps them to the K / A / P blueprint, audits each against COSMIN and AMEE Guide 87 criteria, and flags double-barreled or leading items with rewrite suggestions.

Does it support translation and multi-language fielding?

Synopsis output includes translation-mode guidance (forward-back translation, expert panel review, cognitive interviewing). Item-level translation is not auto-generated — it requires a qualified bilingual reviewer; the workflow documents the steps your ethics committee will expect.

What pilot sample size do you recommend?

Section 10 (Admin & Pilot Plan) generates a pilot N based on item count, response-scale type, and reliability target (Cronbach's alpha 0.70 by default). Typical pilots range from 30 to 100 respondents per dimension; the tool justifies the number against COSMIN guidance.

Will my ethics committee accept the KAP protocol?

Output follows WHO STEPS survey methodology and CHERRIES web-survey reporting standards. Indian and international ethics committees recognise this format. Every section is editable before export — you retain full control.

How does the quality audit catch bad items?

Deterministic checks scan each item for double-barreled wording, leading phrasing, jargon above your literacy target, social-desirability triggers, acquiescence patterns, and missing don't-know options. Each fail returns the rule violated plus a suggested rewrite.

Can I scope to just K+A or A+P (not all three)?

Yes. The KAP Framework step lets you scope to any 2-of-3 or all-3 dimensions. Blueprint, item-generation, and scoring steps adjust accordingly — KAP-gap index is recomputed for whichever dimensions you include.

What if I run out of Mindful Tokens mid-month?

Top up any time with Boost (₹149), Lab (₹349), or Project (₹699) packs. Top-up tokens never expire while you remain subscribed.

What export formats are supported?

DOCX, PDF, and Markdown. Exports include scoring keys, admin guidance, item-level rationale, and WHO-aligned methodology summary — ready for ethics-committee submission.

Can I cancel anytime?

Yes — cancel from Settings. Access continues to the end of the paid period. 7-day money-back on any plan. No questions asked, no retention calls.

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