Structure your market research data and findings into clear themes and insights so you can make confident, evidence-backed product and strategy decisions.
Template components
Research Objective
State the core question your research is trying to answer and who the target audience is.
Example: Understand why mid-market B2B buyers choose competitors over us during the final stage of the purchasing decision, targeting procurement managers at companies with 100–500 employees.
Raw Data & Sources
List all data sources collected and note the volume and type of responses from each.
Example: 18 customer interviews (60 min each), 214 survey responses, 6 win/loss call transcripts, and 3 competitor review exports from G2 and Capterra collected between March and April 2025.
Key Themes & Patterns
Summarize the recurring themes you identified across sources, with a note on how frequently each appeared.
Example: Pricing transparency concerns (mentioned in 14 of 18 interviews), lack of integration with existing ERP systems (11 interviews, 67 survey responses), and slow onboarding timeline fears (8 interviews, 42% of survey respondents).
Recommended Actions
For each major theme, write one specific action the team should take based on the evidence.
Example: Pricing transparency → publish a detailed pricing page with tier breakdowns by company size; ERP integrations → prioritize SAP and NetSuite connectors in Q3 roadmap; onboarding concerns → create a visual 30-day onboarding timeline for sales to share during demos.
Full Copyable Template
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<div class="tmpl-full-title">Market Research Template (free)</div>
<div class="tmpl-full-meta">Prepared by: [Research lead name] | Company: [Acme Analytics] | Project: [SMB accounting software expansion study] | Date range: [May 1–May 21, 2026] | Version: [v1.0]</div>
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<div class="tmpl-full-section-title">1. Research Overview</div>
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<div class="tmpl-full-field-label">Research objective</div>
<div class="tmpl-full-field-value">Understand why small business owners who start a free trial of our accounting software fail to become paying customers within the first 14 days, and identify the highest-impact fixes for conversion.</div>
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<div class="tmpl-full-field-label">Primary business decision this research should support</div>
<div class="tmpl-full-field-value">Decide whether to prioritize onboarding improvements, pricing changes, or feature messaging before the next quarterly product release.</div>
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<div class="tmpl-full-field-label">Research type</div>
<div class="tmpl-full-field-value">Mixed-method study: 12 customer interviews, 1 competitor review, survey of 146 trial users, and funnel analysis from signup to subscription purchase.</div>
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<div class="tmpl-full-field-label">Target audience</div>
<div class="tmpl-full-field-value">US-based businesses with 1–20 employees, especially owners and office managers in agencies, retail, and professional services who currently use spreadsheets or entry-level accounting tools.</div>
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<div class="tmpl-full-field-label">Research hypothesis</div>
<div class="tmpl-full-field-value">Trial users are dropping off primarily because setup feels too time-consuming, the value of automation is not obvious early enough, and pricing appears high compared with simpler tools.</div>
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<div class="tmpl-full-field-label">Scope and boundaries</div>
<div class="tmpl-full-field-value">In scope: onboarding, perceived value, competitor comparison, purchase objections, and segment differences. Out of scope: enterprise buyers, international markets, and deep tax compliance requirements.</div>
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<div class="tmpl-full-tip">💡 Tip: Write the objective as a decision, not just a topic. Good research should clearly influence what the team does next.</div>
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<div class="tmpl-full-section-title">2. Audience and Market Definition</div>
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<div class="tmpl-full-field-label">Ideal customer profile</div>
<div class="tmpl-full-field-value">Owner-led businesses with fewer than 20 employees, annual revenue between $250k and $3M, limited in-house finance expertise, and a need to simplify invoicing, expense tracking, and cash flow visibility.</div>
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<div class="tmpl-full-field-label">Primary segment</div>
<div class="tmpl-full-field-value">Service-based small businesses such as marketing agencies, consultancies, and design studios that invoice clients monthly and want cleaner reporting without hiring a bookkeeper.</div>
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<div class="tmpl-full-field-label">Secondary segment</div>
<div class="tmpl-full-field-value">Local retail and e-commerce sellers who need simple reconciliation and inventory-aware financial tracking but are frustrated by overly complex accounting systems.</div>
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<div class="tmpl-full-field-label">Top jobs to be done</div>
<div class="tmpl-full-field-value">Send invoices quickly, know which clients have paid, categorize expenses automatically, prepare for tax season with less stress, and understand monthly cash flow without manual spreadsheet work.</div>
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<div class="tmpl-full-field-label">Current alternatives customers use</div>
<div class="tmpl-full-field-value">Excel or Google Sheets, QuickBooks Simple Start, Xero, Wave, outsourced bookkeeping support, and “do nothing until tax season” behavior.</div>
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<div class="tmpl-full-field-label">Observed buying triggers</div>
<div class="tmpl-full-field-value">Rapid business growth, tax filing deadlines, increasing invoice volume, frustration with manual data entry, and switching after a negative experience with a current accounting tool.</div>
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<div class="tmpl-full-q-text">Which customer segment has the strongest pain, the clearest willingness to pay, and the shortest path to activation?</div>
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<div class="tmpl-full-q-text">What problem does this audience urgently want solved this quarter, not “someday”?</div>
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<div class="tmpl-full-tip">💡 Tip: If your market is broad, define one primary segment first. Research becomes more actionable when the audience is narrow and concrete.</div>
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<div class="tmpl-full-section-title">3. Research Methodology and Data Sources</div>
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<div class="tmpl-full-field-label">Research methods used</div>
<div class="tmpl-full-field-value">Customer interviews, churn win/loss review, signup funnel analysis, on-site poll, pricing page heatmap review, and competitive teardown of three major alternatives.</div>
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<div class="tmpl-full-field-label">Sample profile</div>
<div class="tmpl-full-field-value">12 interviews: 5 trial non-converters, 3 recent converters, 2 churned customers, and 2 prospects evaluating alternatives. Survey respondents: 146 trial users from the last 60 days.</div>
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<div class="tmpl-full-field-label">Data sources</div>
<div class="tmpl-full-field-value">CRM notes, product analytics, website session recordings, billing conversion data, support tickets tagged “setup” or “pricing,” G2 reviews for competitors, and customer interviews conducted over Zoom.</div>
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<div class="tmpl-full-field-label">Research timeframe</div>
<div class="tmpl-full-field-value">Behavioral data collected from the last 90 days; interviews conducted between May 3 and May 15; competitor review completed on May 18.</div>
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<div class="tmpl-full-field-label">Key limitations</div>
<div class="tmpl-full-field-value">Interview sample skewed toward service businesses, survey underrepresents highly price-sensitive users who abandoned the product in under 24 hours, and competitor pricing was reviewed only from public sources.</div>
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<div class="tmpl-full-q-text">Do the research methods match the decision we need to make, or are we collecting data that is interesting but not useful?</div>
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<div class="tmpl-full-q-text">What critical gaps remain in the sample, such as missing industries, company sizes, or customer outcomes?</div>
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<div class="tmpl-full-tip">💡 Tip: Include limitations directly in the template. This helps stakeholders weigh confidence appropriately and avoids overstating the findings.</div>
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<div class="tmpl-full-section-title">4. Key Findings and Evidence</div>
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<div class="tmpl-full-field-label">Finding 1: Setup friction delays first value</div>
<div class="tmpl-full-field-value">8 of 12 interviewees said the initial setup felt “longer than expected,” especially when importing transactions and connecting bank accounts. Funnel data shows 37% of trial users drop off before completing account connection.</div>
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<div class="tmpl-full-field-label">Supporting evidence</div>
<div class="tmpl-full-field-value">Users who connected a bank account within Day 1 converted at 22%, while users who did not converted at only 5%. Session recordings show repeated exits on the account connection step after permissions prompts.</div>
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<div class="tmpl-full-field-label">Finding 2: Product value is too abstract early in the trial</div>
<div class="tmpl-full-field-value">Prospects understood features like “automation” and “cash flow visibility,” but could not clearly describe what they would save in time or effort within the first week. Many wanted a fast “before vs. after” proof point.</div>
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<div class="tmpl-full-field-label">Supporting evidence</div>
<div class="tmpl-full-field-value">In the survey, 54% of non-converters selected “I wasn’t sure the product was worth switching for” as a top reason for not upgrading. Interview quote: “It looked powerful, but I didn’t see the payoff fast enough.”</div>
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<div class="tmpl-full-field-label">Finding 3: Pricing concern is real, but mostly after weak activation</div>
<div class="tmpl-full-field-value">Pricing came up often, but users who reached two or more “success events” (invoice sent, bank connected, dashboard viewed twice) were significantly less price-sensitive than users who never reached activation.</div>
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<div class="tmpl-full-field-label">Supporting evidence</div>
<div class="tmpl-full-field-value">Among non-activated users, 48% called the product too expensive. Among activated users, only 19% cited price as the main objection. This suggests value realization likely matters more than list price alone.</div>
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<div class="tmpl-full-field-label">Finding 4: Competitors win on simplicity, not depth</div>
<div class="tmpl-full-field-value">QuickBooks and Wave were perceived as easier to “get started with today,” even when users acknowledged our product had stronger reporting and automation features.</div>
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<div class="tmpl-full-field-label">Customer language to reuse in messaging</div>
<div class="tmpl-full-field-value">“Get tax-ready without cleaning up spreadsheets,” “See where cash is going each month,” “Send invoices and track payments without chasing clients manually,” and “Set up once, save time every week.”</div>
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<div class="tmpl-full-q-text">Which findings are repeated across interviews, survey responses, and product data?</div>
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<div class="tmpl-full-q-text">What evidence is strong enough to drive action now, and what still needs validation?</div>
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<div class="tmpl-full-tip">💡 Tip: Pair every major finding with at least one concrete piece of evidence: a number, a quote, a behavioral pattern, or a competitor example.</div>
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<div class="tmpl-full-section-title">5. Competitor and Market Landscape</div>
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<div class="tmpl-full-field-label">Top competitors reviewed</div>
<div class="tmpl-full-field-value">QuickBooks Simple Start, Xero Early, Wave, and spreadsheet-based workflows as the non-software alternative.</div>
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<div class="tmpl-full-field-label">Competitor positioning summary</div>
<div class="tmpl-full-field-value">QuickBooks emphasizes familiarity and broad trust, Xero emphasizes modern bookkeeping for growing businesses, and Wave emphasizes free or low-cost simplicity for small operators.</div>
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<div class="tmpl-full-field-label">Where competitors appear stronger</div>
<div class="tmpl-full-field-value">Faster perceived setup, more recognizable brand trust, clearer “start now” onboarding, and lower-friction entry pricing or free plans for very small businesses.</div>
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<div class="tmpl-full-field-label">Where our product appears stronger</div>
<div class="tmpl-full-field-value">Cleaner reporting, better automation for recurring financial tasks, stronger visibility into cash flow, and a more modern interface once setup is complete.</div>
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<div class="tmpl-full-field-label">Market opportunities</div>
<div class="tmpl-full-field-value">Own the “simple but powerful” positioning for service businesses that have outgrown spreadsheets but do not want enterprise-grade accounting complexity.</div>
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<div class="tmpl-full-field-label">Threats to monitor</div>
<div class="tmpl-full-field-value">Competitors introducing AI-assisted bookkeeping setup, discount-led acquisition campaigns, and growing buyer skepticism about switching costs between finance tools.</div>
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<div class="tmpl-full-q-text">Why do customers choose a competitor even when our feature set is stronger on paper?</div>
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<div class="tmpl-full-q-text">What part of the market is underserved by existing options and realistically winnable for us?</div>
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<div class="tmpl-full-tip">💡 Tip: Include the “do nothing” alternative in market research. Often your real competitor is inertia, not another company.</div>
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<div class="tmpl-full-section-title">6. Recommendations, Actions, and Next Steps</div>
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<div class="tmpl-full-field-label">Recommendation 1</div>
<div class="tmpl-full-field-value">Shorten time-to-value by redesigning onboarding around one guided outcome: connect account, import data, send first invoice, and view first cash flow summary within 10 minutes.</div>
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<div class="tmpl-full-field-label">Recommendation 2</div>
<div class="tmpl-full-field-value">Update messaging across the homepage, pricing page, and trial emails to focus on measurable outcomes such as “save 3–5 hours per month on financial admin” instead of broad platform claims.</div>
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<div class="tmpl-full-field-label">Recommendation 3</div>
<div class="tmpl-full-field-value">Delay major pricing changes until activation improves. First test onboarding and value communication, then reevaluate whether price objection remains a top barrier among activated users.</div>
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<div class="tmpl-full-field-label">Immediate experiments</div>
<div class="tmpl-full-field-value">A/B test a simplified onboarding checklist, add an interactive sample dashboard for new trials, and send a Day 1 email with a “See your first cash flow snapshot” CTA.</div>
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<div class="tmpl-full-field-label">Success metrics to track</div>
<div class="tmpl-full-field-value">Bank connection completion rate, first invoice sent within 48 hours, trial-to-paid conversion by segment, pricing page exit rate, and percentage of users reaching two or more activation events in the first 7 days.</div>
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<div class="tmpl-full-field-label">Owner and deadline</div>
<div class="tmpl-full-field-value">Product onboarding team to launch first experiment by June 10; lifecycle marketing to update trial messaging by June 14; research team to run follow-up validation interviews by July 1.</div>
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<div class="tmpl-full-q-text">What is the smallest, fastest action we can take based on this research within the next two weeks?</div>
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<div class="tmpl-full-q-text">How will we know whether the research led to better product, messaging, or go-to-market decisions?</div>
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<div class="tmpl-full-tip">💡 Tip: End every research document with actions, owners, and metrics. Insight without a follow-through plan is just interesting reading.</div>
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How to use it
Collect and centralize your data Pull all your research inputs — interviews, surveys, review exports, and call transcripts — into one place before you begin coding or tagging.
Tag responses by theme Read through each data source and assign one or more thematic labels to each response or quote, grouping similar concerns, motivations, or behaviors together.
Count and rank themes by frequency Tally how often each theme appears across sources and rank them by prevalence so you focus your analysis on what matters most to the largest share of respondents.
Write one concrete action per theme For each top theme, translate the insight into a single specific recommendation that a product, marketing, or sales team can act on in the next sprint or quarter.
What it looks like filled in
Pricing Opacity Kills Late-Stage Deals
"We got to the final call and still had no idea what we'd actually pay — that made us nervous enough to go with someone else who was upfront."
→ Launch a public pricing page with clear tier breakdowns and an ROI calculator to reduce friction in the final buying stage.
Integration Gaps Block Purchase Approval
"Our IT team vetoed it immediately when they saw there was no native SAP connector — that's a non-negotiable for us at this company size."
→ Prioritize SAP and NetSuite native integrations in the Q3 product roadmap and add integration compatibility to the sales discovery checklist.
"We couldn't get a straight answer on how long it would take to be fully live — our last vendor took four months and it nearly derailed the project."
→ Build a shareable 30-day visual onboarding roadmap for the sales team to present during demo calls to replace uncertainty with a concrete commitment.
Why teams skip the template
Manually tagging hundreds of responses takes days Coding themes across 18 interviews and 200+ survey responses by hand is slow, inconsistent, and easy to bias toward what you already expect to find.
Frequency counts are tedious and error-prone Counting how often a theme appears across multiple data sources in spreadsheets means one missed row or misread label can quietly distort your entire prioritization.
Turning themes into actions requires another round of interpretation Even after you surface patterns, translating them into specific, team-ready recommendations requires a separate effort that often gets rushed or skipped under deadline pressure.
Analyze your market research data and findings automatically — no template needed