Shared research study link

The Cooking Intention Gap: Why Everyone Says They Will Cook More and Never Does

To investigate the universal gap between the intention to cook more at home and the reality of not doing so. We want to understand what triggers the resolve to cook more, what specific moments cause it to collapse, what distinguishes the nights people actually cook from the nights they do not, and whether the guilt of not cooking changes behaviour or simply compounds. This study explores the psychology of home cooking aspirations across different household types, income levels, and life stages.

Study Overview Updated Mar 04, 2026

Research question: Why the universal gap between the intention to cook at home and the reality of not doing so-what sparks resolve, where it breaks, what differentiates cooking nights, and whether guilt changes behavior. Research group: 10 U.S. adults (25–55) across household types, incomes, rural/urban settings, and life stages, including parents and shift workers. What they said: Resolve is mostly triggered by financial pressure (fees, bills) plus health nudges (BP/labs), expressed as short “sprints” (batching, whiteboards) that fade in ~2–6 weeks; the plan typically collapses 5:30–7:30pm when time-to-plate math, fatigue, and frictions (frozen protein, dirty sink, missing staples) stack. Guilt is common but rarely flips a weeknight; it acts as a delayed reset, not an immediate driver.

Main insights: Nights that succeed are pre-committed earlier in the day, with thawed/staged ingredients, a clean sink/pans, simple one-pan recipes, minor household help, and a calmer evening-when these “dominoes” line up, cooking becomes default. Brand testing was decisive: “Five minutes, real food, from your freezer” wins; “chef-designed, delivered” reads costly/fussy, and “45 minutes + courage” is tone‑deaf on weeknights. Outlier patterns show values-based frames (e.g., Lent) or systemized planning can maintain a pragmatic ~70/30 home‑cooked baseline. Takeaways: Design and message to beat the 6pm calculus-promise freezer‑to‑plate certainty in 8–15 minutes, no thaw, one‑pan cleanup, honest time and sodium/protein (≈30g), retail-first (no subscriptions), stagger‑friendly portions, and use midday pre‑commit nudges; avoid pep‑talk tone and publish true ranges to build trust.

Participant Snapshots

Stack all

10 profiles

Nichalous Mejorada

Nichalous Mejorada, 38, Clarksville, TN, is a metadata operations specialist (~$41k). Owns a modest townhouse, rents a room, tech- and privacy-conscious, budget-minded, enjoys cooking and hikes, and favors durable, transparent, well-supported products.

Matthew Solis

1) Basic Demographics

Matthew Solis, 50, male, married, no children. Lives in a modest suburban neighborhood outside Toledo, Ohio. White (Non-Hispanic). Born in Windsor, Ontario; long-term U.S. permanent resident (non-citizen). Protestant. Speaks…

Rhonda Dickens

Rhonda Dickens is a 51-year-old rural North Carolinian, single and child-free, faith-forward and frugal. Former recreation manager with variable income and public coverage, home paid off. Practical, community-driven, tech-limited; values durability, clarity…

Kyle Rios

Kyle Rios is a bilingual 27-year-old in rural upstate New York, living with family, uninsured and cash-tight. Community-anchored, Catholic, pragmatic. Values durability, clear pricing, Spanish support, and offline options while exploring HVAC/solar training…

Janet Olszewski

Rural Kentucky retail worker, 46, married without kids. Budget-focused, faith-oriented, and practical. Manages disability with accommodations and Medicare. Prefers durable value, clear instructions, and time-saving tools; skeptical of hidden fees and hype.

Steven Shivers

Rural Kentucky line cook, 37, married with one child, living on very low income. Practical, community-minded, and plainspoken. Values durability, clear prices, and no-hassle service while managing back pain, limited data, and carpool commutes.

Tyler Henry

Bilingual rural Ohio postal carrier, 33, Puerto Rican-born, married without kids. Practical, union-minded, and budget-focused. Prioritizes reliability, warranties, and offline functionality. Anchored in church, family ties, and steady routines.

Robert Nguyen

Omaha-based Filipino American production lead, Robert Nguyen, 42, married with one child. Systems-oriented, budget-conscious, and pragmatic. Values durable goods, safety, and clear warranties. Balances shift work with family routines, DIY projects, and prac…

Micheal Boshell

Rural Virginia dad of four, 51, Catholic, ex-systems architect now unemployed due to MS. Pragmatic, privacy-minded, and community-oriented. High household income via spouse in healthcare. Values durability, accessible design, and evidence-based decisions.

Richard Womack

Richard Womack is a faith-rooted, frugal 42-year-old in rural Texas. Single, uninsured, not in labor force. Lives simply on family land, tinkers, cooks from scratch, values reliability and community, relies on church and barter, and prefers practical, offli…

Nichalous Mejorada

Matthew Solis

1) Basic Demographics

Rhonda Dickens

Kyle Rios

Janet Olszewski

Steven Shivers

Tyler Henry

Robert Nguyen

Micheal Boshell

Richard Womack

Overview 0 participants

Sex / Gender

Race / Ethnicity

Locale (Top)

Occupations (Top)

Demographic Overview No agents selected

Age bucket	Male count	Female count

Participant locations No agents selected

Participant Incomes US benchmark scaled to group size

Income bucket	Participants	US households

Source: U.S. Census Bureau, 2022 ACS 1-year (Table B19001; >$200k evenly distributed for comparison)

Media Ingestion

Connections appear when personas follow many of the same sources, highlighting overlapping media diets.

Questions and Responses

Stack all

7 questions

Response Summaries

Stack all

7 questions

Word Cloud

Persona Correlations

Overview

Across 70 responses, the intention-to-cook gap consistently follows a pattern: acute financial or health signals trigger short-lived cooking sprints (typically 2–6 weeks) that are enabled by low-friction routines (batch-cooking, staged protein, simple one-pan recipes) and collapse during the weekday 5:30–7:30pm ‘time-to-plate’ window when small, tangible frictions (frozen protein, dirty sink, missing pan, staggered schedules, fatigue) accumulate. Guilt is widespread but functions mainly as a delayed corrective force (Sunday resets, short sprints) rather than a same‑night motivator. Demographics shape both triggers and durable solutions: lower-income, rural, and shift-workers emphasize cost, thawing, and cleanup constraints; mid/high-income families use planning systems and micro-delegation; culturally-inflected households lean on familiar batch staples; white-collar respondents frame misses as system failures and respond to pragmatic simplification rather than aspirational messaging.

Total responses: 70

Key Segments

Segment	Attributes	Insight	Supporting Agents
Lower-income / precarious-work, rural respondents	occupation: Chef / Unemployed / Job Seeker city: Rural income_bracket: <$10k or $0 age: 30–45	Cost-sensitivity and physical fatigue make immediate, low-cost, zero-friction solutions critical; thawing and cleanup are decisive, immediate failure points that push households to takeout.	Steven Shivers, Richard Womack, Kyle Rios
Mid/high-income, schedule-intensive households with kids	income_bracket: $75k+ household: Owned w/mortgage / family occupation: Logistics Coordinator / Operations / Facilities age: 33–51 presence of children / staggered schedules	These households sustain sprints by building visible systems (whiteboards, Sunday prep, delegated micro-tasks); they still fail for the same tactile reasons, but systems increase resilience and favor stagger-friendly formats.	Robert Nguyen, Matthew Solis, Tyler Henry, Micheal Boshell, Janet Olszewski
Culturally-inflected Hispanic/Latino households	ethnicity: Hispanic or Latino language: Spanish preferences: rice, adobo, arroz con gandules, family cooking	Familiar, staple-based batch cooking (rice/sofrito/adobo) acts as a strong enabling heuristic when staging and timing are manageable; cultural rituals can convert intent into short-term adherence.	Nichalous Mejorada, Kyle Rios, Tyler Henry
Shift/field logistics and delivery workers	industry: Courier/Delivery/Commercial Construction/Courier & Delivery Services commute: irregular / other age: 30–50	Irregular schedules create extreme sensitivity to evening unpredictability; solutions that tolerate on-route delays (frozen-to-plate, ready-to-heat) are prioritized over multi-step preparation workflows.	Kyle Rios, Tyler Henry, Robert Nguyen
Higher-education / white-collar respondents	education: Bachelor/Graduate industry: Computer Software / Information Services / Primary Education income_bracket: mid-high (varies)	These respondents interpret failures as system design problems and adopt digital/organizational tools (Notion, calendars, meal boards); they prefer pragmatic, low-friction offers and react negatively to aspirational 'learn-to-cook' messaging.	Nichalous Mejorada, Micheal Boshell, Matthew Solis

Shared Mindsets

Trait	Signal	Agents
Primary triggers	Financial pain (bills, rising delivery fees) and health prompts (lab/BP results) are the most consistent catalysts for a resolve to cook more across income and household types.	Richard Womack, Janet Olszewski, Matthew Solis, Nichalous Mejorada
Typical sprint length	Intentional increases in home cooking are commonly episodic and short (about 2–6 weeks) before habits revert without ongoing scaffolding.	Janet Olszewski, Robert Nguyen, Nichalous Mejorada, Matthew Solis
Moment of collapse	A concrete, visible cue (frozen protein, slimy produce, unused whiteboard) often marks the immediate end of the plan - the problem is tactile and time-bound.	Janet Olszewski, Steven Shivers, Robert Nguyen, Nichalous Mejorada
Decisive evening window	The 5:30–7:30pm window is the critical decision point when accumulated small frictions, fatigue, and scheduling conflicts tip households toward convenience.	Robert Nguyen, Micheal Boshell, Rhonda Dickens, Tyler Henry
Failure modes (micro-frictions)	Multiple small obstacles (dirty sink, missing pan/knife, frozen protein, kid interruptions, equipment issues) aggregate to create an insurmountable barrier; fixing any one often won’t suffice without reducing overall friction.	Rhonda Dickens, Steven Shivers, Kyle Rios, Tyler Henry
Tactics that help (but need maintenance)	Batch-cooking, staging/thawing protein, whiteboards, delegated micro-tasks, and simple recipes enable sprints but require continuous upkeep or they decay.	Robert Nguyen, Matthew Solis, Nichalous Mejorada, Micheal Boshell
Marketing preferences	Weeknight decision-makers favor honest, low-effort propositions (freezer-to-plate, heat-and-eat, short-prep times, minimal cleanup) over aspirational 'learn-to-cook' messaging that feels unrealistic for busy evenings.	Tyler Henry, Robert Nguyen, Janet Olszewski, Rhonda Dickens
Role of guilt	Guilt is a common emotional response but rarely changes same-night behavior; it drives episodic corrections (planning, Sunday prep) rather than consistent night-to-night adherence.	Nichalous Mejorada, Micheal Boshell, Rhonda Dickens, Steven Shivers

Divergences

Segment	Contrast	Agents
Lower-income / rural vs Mid/high-income families	Lower-income respondents prioritize immediate cost and physical barriers (thawing, cleanup) and need ultra-low-cost, low-friction fixes; mid/high-income families invest in visible systems and micro-delegation that buffer the same frictions but still fail under acute evening disruption.	Richard Womack, Steven Shivers, Robert Nguyen, Janet Olszewski
Culturally-inflected households vs White-collar planners	Cultural staples and ritual-driven batch cooking create intuitive, reliable heuristics for some (rice/sofrito/adobo), whereas white-collar planners prefer digital/project-management tools and frame non-cooking as a systems issue rather than a cultural-food solution.	Nichalous Mejorada, Tyler Henry, Matthew Solis
Shift/field workers vs Stable-schedule desk workers	Shift workers need tolerant, immediate solutions that survive unpredictable arrival times (frozen-to-plate, heat-and-eat); desk workers can more reliably schedule prep/delegation and benefit more from planning tools.	Kyle Rios, Tyler Henry, Robert Nguyen, Nichalous Mejorada
Cleanup-as-primary-barrier vs Digital planning success	Some respondents (Rhonda Dickens) identify physical cleanliness and cleanup as non-digital, stubborn barriers that apps can’t solve, while others (Nichalous Mejorada) demonstrate durable improvement through disciplined digital planning (Notion-driven sprints).	Rhonda Dickens, Nichalous Mejorada

Recommendations & Next Steps

Overview

Claude x Ditto can operationalize these insights fast: weeknight cooking fails in the 5:30–7:30pm window from frozen protein, a dirty sink, and time-to-plate math. Messaging that wins is freezer-to-plate, sub‑15 minutes, and one‑pan cleanup; pep‑talks and 'chef‑designed' claims lose. Use Ditto to ship truth-first copy, midday pre‑commit prompts, and a delivery-vs‑cook time calculator. Prioritize ROI by testing low-friction promises (no thaw, one pan, 30g protein, low sodium) across owned channels before deeper product bets.

Quick Wins (next 2–4 weeks)

#	Action	Why	Owner	Effort	Impact
1	Rewrite value prop to freezer-to-plate in 10	Brand B-style language best maps to the 6pm breaking point; users want no thaw, one pan, real protein, not 'chef-designed' or 'courage'.	Content Design (Ditto) + Product	Low	High
2	Add honest time and nutrition badges	Trust hinges on true cook time and sodium/protein; vague 'real food' erodes credibility.	Product Marketing	Low	High
3	Midday pre-commit prompts	Pre‑commitment at noon materially increases follow‑through; a 11:30–12:30 nudge reduces 6pm decision fatigue.	Growth/CRM	Low	Med
4	5:40 time math widget	Users decide via time-to-plate math; a tiny calculator that shows 'Cook in 12 vs Delivery ETA 32' tips the choice.	UX/Eng	Med	High
5	One-pan cleanup promise	The sink is a hard blocker; foreground 'one pan, under 2-min cleanup' in hero copy and instructions.	Content Design	Low	High
6	Replace pep-talk tone	Aspirational lines ('amazing', 'courage') backfire on weeknights; swap for plain, calm action language.	Content Design	Low	Med

Initiatives (30–90 days)

#	Initiative	Description	Owner	Timeline	Dependencies
1	5:40 System: Pre-commit + Nudge Orchestration	Use Ditto variants to run A/B tests on 11:30–12:30 pre-commit messages and 5:05 pm nudges. Sequence: Noon: 'Thaw-free dinner in 12 minutes tonight?' 5:05: 'Pan ready? You’re 12 minutes from dinner' Optional: 'Start rice now' micro-task Optimize send windows, tone, and CTAs.	Growth/CRM + Product	4–6 weeks to MVP, 8–12 weeks to optimize	Messaging variants in Ditto, Event tracking for 'start cooking', SMS/Push provider integration
2	Truth-first Standard: Time, Cleanup, Nutrition	Create a content standard that enforces: True frozen-to-plate time ranges Cleanup steps (one pan, liners allowed) 30g protein and low-sodium callouts Ship across site, packaging copy, and help content with Ditto governance.	Product Marketing + Legal/QA	3–4 weeks to define; ongoing audits monthly	Nutrition/ops data, Legal review, Ditto content governance
3	Delivery vs Dinner: Time-to-Plate Calculator	Embed a lightweight widget that auto-fills local delivery ETA and compares it to 'Cook in 8–15' with one-pan cleanup. Surface on PDPs, checkout, and CRM landers.	UX/Eng	3–5 weeks to build and deploy	Location/ETA API, Front-end component library, Analytics events
4	Stagger-Friendly Serving UX	Position single-serve, portion-flexible heating (1, 2, or 6 portions) and 'hold without mush' guidance. Icons + microcopy for air fryer/microwave paths that keep texture.	Product + Content Design	6–8 weeks including usability tests	Heating method testing, Iconography assets, Usability panel
5	Messaging Library: What Works, What Fails	Codify a reusable Ditto component set: Do: 'Freezer-to-plate in 10–12', 'One pan, no thaw' Don’t: 'Chef-designed', 'Courage', vague 'real food' Segment hooks: budget, BP/sodium, cleanup Map to personas and channels.	Content Design + Insights	2–3 weeks initial; refresh quarterly	Qual insights (this study), Ditto component library, Channel inventory

KPIs to Track

#	KPI	Definition	Target	Frequency
1	Cook Tonight CTR	Click-through rate on 'Cook in 10–12' CTAs across site/CRM	+25% vs control within 6 weeks	Weekly
2	Pre-commit Conversion	Percent of users who receive a noon prompt and start a cook flow by 7:30 pm	≥12% conversion	Weekly
3	Abandon-to-Delivery Rate	Share of users who open cook flow then click out to delivery links/apps	-30% vs baseline	Bi-weekly
4	Trust Signals Engagement	Clicks on time/nutrition/cleanup badges per session	+40% engagement; no increase in support tickets	Weekly
5	4–6 Week Retention Lift	Repeat 'cook flow' sessions per user vs baseline over 6 weeks	+15% lift	Monthly
6	Message Variant Win Rate	Percent of Ditto variants beating control on primary CTA	≥30% of tested variants	Monthly

Risks & Mitigations

#	Risk	Mitigation	Owner
1	Overpromising time or cleanup erodes trust	Publish true ranges, include cleanup notes, QA via timed tests; gate copy in Ditto behind a checklist	Product Marketing + QA
2	Health claims (sodium/protein) mismatch product reality	Link claims to certified nutrition data; show per‑serve facts inline; legal review	Legal/Regulatory
3	CRM nudges feel spammy or intrusive	Strict opt-in, quiet hours, cap at 2 nudges/day; user controls in settings	Growth/CRM
4	Calculator backfires where delivery is faster	Suppress widget when ETA < 20 or kitchen state unknown; show 'Prep later' save option	UX/Eng
5	One-size messaging misses key segments (cleanup vs health vs budget)	Segment by engagement signals and copy needs; rotate Ditto components per cohort	Insights + Content Design

Timeline

0–2 weeks: Quick wins live in Ditto (value prop, badges, tone).
2–5 weeks: Ship time-to-plate calculator MVP; launch noon/5pm nudge tests.
6–8 weeks: Stagger-friendly UX + heating guidance; expand variant library.
9–12 weeks: Optimize based on KPI deltas; scale best-performing copy to all channels; quarterly content audit.

Research Study Narrative

The Cooking Intention Gap: What We Set Out to Learn

Objective: Understand why people resolve to cook more at home yet fail to follow through: what sparks intent, where it collapses, what makes “cook nights” different, and whether guilt changes behavior. Across ~70 qualitative responses spanning household types, incomes, and life stages, a consistent pattern emerges.

What Actually Drives (and Derails) Weeknight Cooking

Triggers are pragmatic-mainly money and health-followed by short sprints: Acute financial pain (bills, delivery fees) and health prompts (labs/BP) spark intense, practical bursts-bulk groceries, whiteboards, batch-cooking, slow cookers-that rarely outlast 4–6 weeks. Richard Womack cited a budget crunch; Janet Olszewski’s six‑week run ended with “cilantro melting into green goo.” Cooking shows were largely irrelevant or discouraging.
The collapse is a 5:30–7:30 pm physics problem: Decisions flip when time‑to‑plate math, fatigue, and stacked frictions converge: still‑frozen protein, a dirty sink or missing pan, and equipment hiccups. Robert Nguyen pictures “35 minutes of standing” and opts for drive‑thru; Rhonda Dickens: “If I see dishes, I quit.” Nichalous Mejorada explicitly compares “best‑case 40 vs app ETA 32.”
Cook nights look boring (and that’s the point): Success follows pre‑commitment (whiteboard/text decided by noon), staged ingredients (thawed/portioned), low start‑up friction (clean sink/pans), simple one‑pan, muscle‑memory recipes, micro‑delegation (start rice, rinse veg), and a quieter evening window (Slack on DND). Outliers reinforce physical context: a quieter vent fan enabled cooking for a hearing‑aid user; a 4 pm snack prevented panic hunger.
Guilt is a weak lever: Most report a mild twinge that rarely produces same‑night cooking. It functions as a delayed corrective (a “Sunday reset”) rather than a motivator. “Guilt is a lousy sous‑chef,” said Womack; others described brief overcorrections that burn out in ~5 weeks or even concealment of late‑night orders.
Messaging that wins is friction‑truthful, not aspirational: Given three pitches, the clear weekday winner was “Five minutes. Real food. From your freezer.” Brand A (chef‑designed delivery) triggered cost/subscription/packaging objections and implied dishes; Brand C (“45 minutes and courage”) read as weekend‑only or condescending after long shifts.

Who Struggles vs. Who Copes: Persona Correlations

Lower‑income, rural, and shift/field workers (e.g., Womack, Shivers, Rios): Hyper‑sensitive to thawing and cleanup; fatigue and unpredictable arrivals make frozen‑to‑plate, no‑planning solutions essential.
Mid/high‑income families with kids (Nguyen, Solis, Boshell, Olszewski): Systems (whiteboards, Sunday prep, micro‑tasks) extend sprints but still fail under evening disruption; require stagger‑friendly, portion‑flexible options.
White‑collar planners (Mejorada, Boshell, Solis): Frame misses as system design problems; digital tools (Notion), simple defaults, and truthful time/cleanup claims outperform pep talks.
Culturally‑anchored cooks (Mejorada, Henry, Nguyen): Familiar batch staples (rice/sofrito/adobo) streamline decisions if ingredients are staged.

Implications and Recommendations

Positioning: Lead with freezer‑to‑plate in 8–15 minutes, no thaw, one pan, 30g protein, low sodium. This directly answers the 6 pm time‑math and sink barriers.
Product/UX: Single‑serve and portion‑flexible heating paths (air fryer/microwave) that “hold without mush” for staggered mealtimes; honest time/nutrition/cleanup badges; a lightweight widget comparing “Cook in 12” vs local delivery ETA; 11:30–12:30 pre‑commit nudges plus a 5:05 pm “pan ready?” reminder; retail‑first access (Kroger/Costco) to avoid subscription baggage.
Tone: Avoid “chef‑designed” and “courage” framing; emphasize speed, cleanup, and value versus delivery fees.

Risks and Measurement Guardrails

Trust risk: Overpromised time/cleanup erodes credibility. Publish true ranges; QA with timed cooks.
Nutrition compliance: Tie protein/sodium claims to certified data; show per‑serve facts inline.
Nudge fatigue: Strict opt‑in, quiet hours, and a 2‑per‑day cap.
Comparator risk: Suppress calculator where delivery ETA beats us; offer “save for later.”

Next Steps and KPIs

Weeks 0–2: Ship value‑prop rewrite and time/nutrition/cleanup badges; create a messaging library by segment (budget, BP/sodium, cleanup).
Weeks 2–5: Launch noon/5 pm nudge tests; deploy time‑to‑plate calculator MVP.
Weeks 6–8: Add stagger‑friendly heating guidance and icons; run usability tests.
Weeks 9–12: Optimize and scale best‑performing variants; monthly “truth audits.”

KPIs: “Cook Tonight” CTR +25%; Pre‑commit conversion ≥12%; Abandon‑to‑Delivery rate −30%; Trust‑signal clicks +40% with no ticket lift; 4–6 week repeat cook‑flow +15%.

Recommended Follow-up Questions Updated Mar 04, 2026

Over a typical week, how many weeknights do you intend to cook at home, and how many do you actually cook? Enter numbers 0–5 for each.

matrix Quantifies the intention–behavior gap to size the opportunity, set realistic KPIs, and segment by gap magnitude.
What are your personal cutoffs for cooking on a weeknight? Please enter: (1) maximum acceptable total minutes from start to plate, and (2) per-serving takeout price at which you’d choose to cook instead.

matrix Defines time and cost thresholds to inform product time-to-plate specs, pricing, and value messaging.
Between 5:30–7:30pm, which real-time aids would most/least increase your likelihood to cook tonight? Evaluate impact, not preference. Items: cook-from-frozen mains ready in ≤12 minutes; pre-portioned sauces/marinades; 1-pan, 5-ingredient 10–15 min recipes; pre-cooked grains ready in ≤2 minutes; disposable/compostable pan liners; 2pm reminder with today’s 12-minute plan; instant “what’s in your fridge?” plan builder; safe auto-thaw by 6pm; kid-approved variants; split-batch recipe that serves dif...

maxdiff Prioritizes last-mile interventions to develop for the known failure window.
Which of these appliances do you own and how do they affect weeknight cooking? For each, indicate: Own (Y/N), Use on weeknights (never/rarely/sometimes/often), Reduces time-to-plate (agree scale), Reduces cleanup (agree scale). Items: microwave; air fryer; pressure cooker/Instant Pot; slow cooker; dishwasher; rice cooker; toaster oven/convection oven; induction/electric hob.

matrix Identifies which appliances to design for and message around based on ownership, usage, and impact.
How much does each factor reduce your likelihood of cooking on a typical weeknight? Rate impact. Factors: irregular shifts; long commute; childcare/homework; picky eaters; multiple diets in household; chronic pain/fatigue; messy sink/pans; frozen main ingredient; missing staple; limited counter space; poor ventilation/heat; low cooking confidence; very high hunger; late work notifications.

matrix Quantifies constraint drivers by household type to guide targeting, packaging, and recipe design.
On weekdays, rank the times when a simple dinner plan or reminder would be most helpful to you: 9am; noon; 2pm; 4pm; during commute home; 30 minutes before usual dinner; immediately after work ends.

rank Optimizes timing for pre-commit nudges to prevent collapse in the evening window.

Matrix items use standard 5-point Likert where applicable. MaxDiff list can be trimmed to platform limits without losing intent.

Study Overview Updated Mar 04, 2026

News & Media

Source	Weight

The Cooking Intention Gap: Why Everyone Says They Will Cook More and Never Does

Nichalous Mejorada

Matthew Solis

1) Basic Demographics

Rhonda Dickens

Kyle Rios

Janet Olszewski

Steven Shivers

Tyler Henry

Robert Nguyen

Micheal Boshell

Richard Womack

Nichalous Mejorada

Matthew Solis

1) Basic Demographics

Rhonda Dickens

Kyle Rios

Janet Olszewski

Steven Shivers

Tyler Henry

Robert Nguyen

Micheal Boshell

Richard Womack

Sex / Gender

Race / Ethnicity

Locale (Top)

Occupations (Top)

Summary

Themes

Outliers

Overview

Key Segments

Shared Mindsets

Divergences

Overview

Quick Wins (next 2–4 weeks)

Initiatives (30–90 days)

KPIs to Track

Risks & Mitigations

Timeline

The Cooking Intention Gap: What We Set Out to Learn

What Actually Drives (and Derails) Weeknight Cooking

Who Struggles vs. Who Copes: Persona Correlations

Implications and Recommendations

Risks and Measurement Guardrails

Next Steps and KPIs

Distinct Market Research Groups

Marketing Reports Generated

Digital Twin Synthetic Personas

Questions Answered