Market Research Assistant for Business Planning

A launch plan reaches the budget meeting with a confident market size, a price the team believes customers will accept and a claim that competitors are ignoring the chosen segment. Nobody can locate the original market study. The price came from two rival websites. The competitor claim came from an internal workshop. The spreadsheet is precise; the evidence beneath it is not.

Plans built on unchecked assumptions rarely announce their weakness. They produce revenue forecasts, hiring schedules and launch dates that look defensible because every cell has a number. A market research assistant can replace some of those assumptions with traceable evidence, but only when the request is shaped around a decision.

“Research the market” produces a folder. “Which three customer segments in this region buy this service, what do five relevant providers ask them to pay, and what commitment does each price require?” can influence positioning, packaging and launch scope. The quality of the question sets the ceiling on the value of the answer.

Write the question so the answer can change a decision

Begin with the decision and its deadline. State the options under consideration, what evidence would favor each option, geography, customer definition, period, acceptable sources and how uncertainty should be reported. A decision-shaped question has boundaries and a consequence.

Transformation 1: market entry

Before: “Research the healthcare market in the UK.”

After: “To decide whether to fund a UK launch next quarter, estimate the count of private outpatient clinics with 10–100 staff, identify the administrative functions they publicly recruit for, and compare the service positioning and published commercial commitments of five providers serving those clinics. Use sources published or current within the last 24 months where available, label estimates, and list what cannot be verified.”

The rewrite defines customer, geography, evidence, competitor set, freshness and decision. It does not pretend public evidence will reveal willingness to buy.

Transformation 2: pricing

Before: “Find out what competitors charge.”

After: “To choose between a fixed package and a custom quote, record the public entry price, billing unit, minimum commitment, included volume, overage, setup charge, cancellation term and pricing date for eight direct competitors serving small ecommerce brands. Distinguish displayed prices from calculator estimates and sales-contact-only offers.”

This produces comparable packaging evidence rather than a column of prices that buy different things.

Transformation 3: customer priorities

Before: “What do customers want?”

After: “To choose the first three onboarding improvements, code recurring themes in 150 public reviews of comparable services posted during the last 18 months. Separate selection criteria, onboarding friction, service failures and reasons for praise; record platform, date and rating; then recommend six interview questions to test whether those themes apply to our buyers.”

Public reviews reveal reported themes, not the priorities of the company’s specific prospects. The interview step makes that limit visible.

A reusable brief can contain: decision, questions, scope, definitions, exclusions, preferred evidence, maximum age, output format, deadline and reviewer. OVELITHUB’s market research assistant service can be scoped around that kind of bounded planning question.

What desk research can answer well

• Market structure: published counts of businesses, locations, workers, transactions or customers; segment definitions; historical changes; and supply-chain roles.
• Competitor positioning: who providers address, problems emphasized, offers, public pricing, proof, contracts, locations and channel presence.
• Regulatory landscape: official licensing, registration, reporting, product, privacy or sector requirements, with effective dates and jurisdiction recorded.
• Channels and distribution: public platform rules, marketplace structures, partner ecosystems, reseller directories and observed competitor routes.
• Hiring and cost signals: published job descriptions, national wage statistics, office or logistics indicators and skill availability. These are signals, not a complete operating budget.
• Public sentiment: recurring topics in reviews, forums, app stores, tender notices and public questions, with source bias and authenticity limitations noted.

Desk research is strongest when the fact is public, defined and recorded by an accountable source. It can show what a regulator requires, what a company publishes and what an official dataset counted. It can also assemble useful proxies when the exact answer is not published, provided those proxies are labelled.

What desk research cannot answer

It cannot establish what a specific buyer will actually pay, why a private deal was lost, which unstated criterion overruled a procurement score, how internal politics shape approval, or whether a prospect’s polite interest will become a purchase. Published list price is not willingness to pay. A review is not a confidential buying committee. A job advertisement is not proof of approved strategy.

Those questions need primary research or internal evidence: interviews, surveys, observed behavior, win-loss conversations, sales records, product tests or controlled pricing work. Even then, stated intent and actual behavior can differ.

The most damaging research error is presenting a desk inference as a direct buyer finding. Use labels such as reported fact, calculation, proxy, analyst inference and unknown. An inconvenient unknown is more valuable than invented confidence.

Source quality, and how to instruct for it

Use a hierarchy, while recognizing that relevance and methodology still matter within every level:

1. Official statistics and regulators: national statistics offices, ministries, supervisory bodies, legislation, court or registry records and official platform documentation.
2. Industry bodies and standards organizations: membership counts, technical standards, sector surveys and market definitions, with sponsor and coverage checked.
3. Audited company material: annual reports, regulatory filings, investor presentations and published contractual terms. Marketing pages remain company claims, not independent validation.
4. Established research organizations: named methodology, sample, field dates, geography and definitions. A recognizable publisher does not remove the need to inspect the study.
5. Reputable trade and general press: useful for events and context, preferably linking to the original filing, interview or dataset.
6. Directories, vendor blogs, forums and aggregators: useful for discovery, terminology and hypotheses, but weak foundations for consequential figures unless the underlying evidence is accessible.

Give the assistant explicit rules:

• Prefer the original document over an article that paraphrases it.
• Record publisher, title, publication or update date, URL, access date and relevant table or page.
• Copy definitions and methodology notes into the source record; do not compare figures with different units or populations as if they matched.
• Capture the period the data describes, not only the date the page was updated.
• Distinguish a company’s claim about itself from third-party evidence.
• Trace every consequential number to a named source and calculation.
• When a figure cannot be verified, say so. Do not substitute a nearby statistic that answers a different question.
• Comply with access restrictions, copyright, database rights and website terms; do not bypass technical or contractual controls.

A search engine makes discovery faster. It does not establish that the page is primary, current, complete or correctly interpreted. The research value lies in selection, verification, comparison and an answer tied to the decision.

How to size a market without inventing a number

A top-down estimate begins with a broad published total and applies narrowing percentages: region, segment, eligible buyer and realistic scope. It can be useful for context, but the result becomes fragile when each percentage comes from a different population or year.

A bottom-up estimate begins with countable units closer to the commercial model. For a service sold per location, estimate eligible locations, likely users per location and annual spend per unit. For usage pricing, estimate eligible accounts, relevant transaction volume and price per transaction. For staffing, start with countable organizations, applicable roles or workload signals.

The structure can be written as:

Estimated annual opportunity = count of eligible units × adoption assumption × annual value per adopted unit.

Suppose an illustrative planning model has 2,000 eligible units, assumes 5% adoption and uses an illustrative annual value of $12,000. The arithmetic produces $1.2 million. None of those values is a researched market fact; they are placeholders demonstrating the formula. A real report must source the unit count, explain why the adoption range is plausible, derive the annual value from the actual offer and show sensitivity rather than presenting one point as truth.

Record each input with unit, geography, period, source, transformation, rationale, low case, base case and high case. Where a published market figure is used, capture its year, currency, inclusion rules and methodology. Two reports can use the same market name while measuring different products and customers.

In a niche with little public data, use proxies: registry counts, licenses, locations, job postings, equipment installed, tenders, transactions or adjacent-category ratios. State why the proxy may overcount or undercount and widen the range. A range with visible assumptions is more defensible than a precise number produced from hidden guesses.

Competitor research that goes past a feature list

A feature matrix is useful only when the features influence choice. Start with the competitor’s apparent target buyer and positioning: sector, company size, job role, problem and promised outcome. Then record the offer in comparable fields:

• product or service category and included scope;
• published price, currency, tax treatment and date observed;
• billing unit, minimum term, setup, usage limits and overage;
• trial, guarantee, cancellation or migration commitment;
• proof displayed, such as named cases, certifications or review evidence;
• sales motion: self-serve, demo, partner, marketplace or tender;
• recent hiring by function and geography, labelled as a direction signal rather than proof;
• review themes coded consistently, including source, date and likely bias.

Archive a dated capture or quote within permissible use so later reviewers can see what the company published at the time. Do not infer a competitor’s revenue, customer count or performance from web traffic or hiring alone. Record “not published” rather than zero.

Compare like with like. A $500 monthly tool and a $5,000 managed package may address the same broad problem but include different labor, risk and commitments. Normalize the unit and describe what the buyer still has to supply.

The output format that gets used

1. Decision and question: restate what management must decide and the bounded questions answered.
2. Short answer: lead with the conclusion, material range and the condition that would change it.
3. Confidence: high, medium or low with reasons based on source quality, recency, agreement and missing evidence.
4. Evidence: present comparable findings with dated, direct citations and definitions.
5. Method and calculations: show selection rules, transformations, assumptions and exclusions.
6. Unknowns and conflicts: name evidence that is unavailable, contradictory or too old, and the decision risk each gap creates.
7. Next evidence: recommend the smallest interview, test, data purchase or internal analysis that would materially reduce uncertainty.
8. Source register: provide a usable table, not an unannotated link dump.

The unknowns section is often the most valuable. It keeps management from treating an estimate as a fact and tells the next researcher exactly where primary evidence is worth buying.

A realistic weekly rhythm

Monday: the decision owner scopes one principal question and three to five subquestions, agrees sources and output. Wednesday: the assistant returns an early source map, preliminary answer and blocking ambiguity. The owner corrects direction before weak assumptions spread. Friday: the assistant delivers the written answer, confidence, calculations, unknowns and source register. A short review decides what enters the plan and sharpens next week’s question.

One good question per week often beats five broad requests because it permits source inspection and synthesis. Urgent decisions can use a shorter time box if the output clearly states coverage and confidence. Research should reduce uncertainty enough to act, not delay every decision until certainty is impossible.

Where AI tools help and where they mislead

AI tools can help organize notes, extract candidate fields from documents, propose search terms, compare wording and summarize a source the researcher has already selected. They can also produce plausible but incorrect facts, merge incompatible definitions, cite a page that does not support the statement or invent a source.

Treat generated text as a working aid, never as evidence. Every figure and consequential claim must trace to a named, dated original document that a reviewer can open. The human researcher checks the passage, population, period, methodology and calculation. If access to the original is unavailable, the limitation belongs in the report.

Automated collection also has boundaries. Do not scrape behind access controls or ignore source terms. Public availability does not automatically remove data-protection obligations when information identifies people.

Direct contact, personal data and research ethics

Interviewing potential customers can answer questions desk research cannot, but it is a distinct activity needing a protocol: who will be approached, selection method, truthful invitation, consent or other applicable basis, recording permission, data minimization, storage, withdrawal handling, incentive, analysis and deletion schedule.

This is a compliance pointer, not legal advice. Rules depend on location, channel, purpose and participant. The European Commission’s GDPR guidance on lawful grounds explains that organizations need a lawful basis and must consider individuals’ rights when relying on legitimate interests. The UK ICO’s business-to-business marketing guidance explains that UK GDPR and electronic-marketing rules can apply differently depending on the contact and subscriber. Research invitations and sales outreach are not automatically the same purpose. Obtain appropriate advice, honor objections, and keep research records separate from prospecting unless lawful, transparent use has been established.

Scope the first engagement

Start with one named planning decision and three to five answerable questions. Specify geography, segment, date range, source hierarchy, output format, budget for paid sources if any, and what must remain an unknown. Ask for one concise report plus the source and calculation registers.

After each of the first two deliveries, select three consequential citations at random. Open the original and ask: does it say what the summary claims, use the same definition, cover the right period and support the calculation? Also inspect one unknown. A researcher who states a limit clearly is often more trustworthy than one who fills every box.

Judge the work by decision usefulness, traceability, source quality, correct distinctions between fact and inference, and whether a second competent reviewer can reproduce material calculations. Scope a market research assistant for your next decision with the decision date and the assumptions you most need tested.

Replace confidence theater with usable evidence

Business planning does not require a large folder or a number for every unknown. It requires a decision-shaped question, the best available evidence, visible assumptions and an honest statement of what public research cannot establish. Bottom-up estimates, comparable competitor records and dated source registers make a plan easier to challenge before money is committed.

A market research assistant provides leverage when the decision owner supplies sharp questions and reviews the early direction. For broader desk-research operating design, see how to brief an online research assistant. To investigate one launch, expansion or budget decision, scope a market research assistant for your next decision.