01 // DATA
Raw observation
Users regularly ask: “Does the insurance policy I already have cover this?”
DEEP ANALYSIS OF MARKET • AUDIENCE • COMPETITORS • PRODUCT
Deep market analysis before an important business decision
I research the market to understand where demand is already proven, which needs remain unmet, where the business is losing money, and which decisions are worth testing next.
WHERE DEMAND EXISTS
What people already buy, search for, and try to solve
WHERE MONEY IS LOST
Purchase barriers, customer drop-off, and weak points in the model
WHAT TO TEST
A product, offer, channel, segment, or growth lever
Six examples of what you can miss without deep analysis
Sometimes analysis finds a new customer. Sometimes a different product, offer, sales motion, or the actual reason people choose a company. Below are real patterns identified in research projects.
Note: Industries differ, but the logic is the same — research looks not only at market numbers, but also at hidden reasons behind a choice, deal barriers, product opportunities, and alternative business models and growth mechanisms.
- PRODUCT OPPORTUNITY / MARKET GAPCONFIRMED MODEL
“You don’t need to guess which product will succeed — the market already shows where demand exists and what existing solutions still fail to provide.”
POPULAR PRODUCTREVIEWS & GAPSIMPROVED VERSIONWhat we found: Popular products already confirm that demand exists. Reviews and recurring complaints show what users are missing and where there may be room for a better solution.
Why it matters: The biggest risk for a new product is building something that sounds like a great idea but no one needs. Analysis helps you start from observed demand and real user problems, not from imagination.
- CUSTOMER VALUE / DECISION RISKHIDDEN VALUE
“A customer may pay not for the product, but for the removal of uncertainty.”
UNKNOWNRISKTRUSTDECISIONWhat we discovered: The company believes the customer compares features and price. But analysis of behavior, reviews, and questions reveals something else: the customer cares about what it will really cost, when they will see the result, and what happens if something goes wrong.
Why it matters: You can improve product features for years while the real purchase barrier stays untouched — the customer is simply afraid of making the wrong choice.
- CHANNEL STRATEGY / CUSTOMER JOURNEYEARLY ENTRY POINT
“Sometimes it is more valuable to reach the customer before they start comparing vendors.”
PROBLEMSEARCH FOR SOLUTIONCOMPARISONPURCHASEWhat can be uncovered: Most competitors compete for the customer once demand is already established: when they already search for the product, compare prices, and choose a vendor. But customer-journey analysis can reveal an earlier point, where the person has just encountered the problem and has not built a shortlist yet.
Why it matters: Analysis can uncover a new channel that is missing from the usual acquisition mix.
- GO-TO-MARKET / SALES MODELFROM CONSTRUCTION MARKET RESEARCHWRONG FIRST STEP
“A product can be good while the way it is sold is wrong.”
What we discovered: A customer may need the core product but is not yet ready to buy an expensive subscription, a long contract, or a complex implementation. The issue is not necessarily the product’s value. The barrier may be the high risk of the first decision.
Why it matters: The business starts cutting the price or pushing sales harder, while the customer first needs to understand how real the problem is and whether the solution is worth the money.
- POSITIONING / COMPETITIVE GAPFROM CONSTRUCTION MARKET RESEARCHHIDDEN COMPETITIVE FIELD
“A market can be saturated with identical promises.”
What we discovered: When competitors are analyzed, most companies build their communication around the same words: fast, quality, convenient, reliable, affordable. For the business it looks like an advantage. To the customer, it all blends into the background.
Why it matters: You can outspend competitors on advertising and still look exactly the same.
- GROWTH MODEL / CUSTOMER ECONOMICSFROM CONSUMER DEMAND RESEARCHFINANCIAL BARRIER
“The biggest opportunity may not be in new customers.”
What we discovered: The business keeps increasing its ad budget, but analysis of existing-customer behavior shows something different: people buy only one product, rarely come back, or leave for a related service at another company.
Why it matters: The company pays to acquire the customer, earns their trust, and then uses only a small part of the relationship’s potential value.
Analysis can change more than advertising: it can reshape the product, segment, offer, channel, financial model — or even the question the business is trying to solve.
MARKETAUDIENCEPRODUCTOFFERCHANNELBUSINESS MODEL
What we research — and what it helps the business decide
Each layer of analysis reduces uncertainty around a specific decision: where to go, whom to sell to, what to offer, and where to look for growth.
- FOCUS // MARKET
Market
Structure, dynamics, regulatory constraints, how much of the market is controlled by established players, growth drivers, opportunities, and systemic risks.
HELPS ANSWER:Whether to enter the market, which segment to test first, and where demand expectations may be overstated.
- FOCUS // AUDIENCE
Audience
Not only who your customer is, but why they need the product now, how they choose, and what may stop a purchase.
HELPS ANSWER:Whom to sell to, which problem to put at the center, and which arguments to use in communication.
- FOCUS // COMPETITORS
Competitors
What competitors promise, how their offers are built, where differentiation is already difficult, and which customer problems remain poorly solved.
HELPS ANSWER:Where the market is already crowded, which advantages have become market standards, and what we can offer that others do not.
- FOCUS // CHANNELS
Channels
Where the need emerges, how ready the customer is to buy, and when it is best to enter with an offer.
HELPS ANSWER:Where to test acquisition and at which point in the customer journey to enter the conversation.
- FOCUS // PRODUCT
Product
What the customer is really trying to get from the product, where current solutions fall short, and which opportunities are worth testing in a new version.
HELPS ANSWER:What to include in the first product version, which additional services to test, and what not to build yet.
- FOCUS // OFFER
Offer
What to promise the customer, which doubts to address, and how to explain the product’s value in the customer’s own language.
HELPS ANSWER:How to explain the product’s value through the customer’s task rather than a list of features.
One fact means almost nothing on its own. The connection between facts matters.
We connect separate facts into a pattern, a business implication, and a decision that can be tested.
- 02 // PATTERN
Recurring pattern
A meaningful part of the audience is not looking for a new product yet. People first try to check the one they already have.
- 03 // INSIGHT
Strategic insight
Real demand starts before the request to “buy insurance.”
- 04 // BUSINESS IMPLICATION
Business implication
The usual “search → quote → purchase” funnel sees only people who have already decided to buy.
- 05 // TESTABLE DECISION
Testable decision
Test the mechanism: first help people understand whether their current policy fits, and only then offer a new product.
Methodology: from context to a decision map
Modern tools help collect data, but the value comes from analysis, comparison, and business implications.
- 01CONTEXT
Defining the starting point
We clarify how the business works now: what it sells, to whom, how it earns money, and which decision the business needs to make.
- 02DATA
Collecting data
We collect statistics, competitor websites and offers, reviews, discussions, user questions, and other available sources.
- 03ANALYSIS
Finding patterns
We look for recurring pain points, reasons for rejection, gaps between promises and reality, weak points in the customer journey, and unmet needs.
- 04SYNTHESIS
Building the picture
We connect market, audience, competitors, product, and channels so separate observations become a coherent picture.
- 05DECISION MAP
Decision map
We produce the final decision map: confirmed facts, strong signals, hypotheses, risks, and a list of what should be checked next.
The output is not a set of separate reports, but a unified decision framework
Each block answers its own question. Together they show where demand exists, what blocks a purchase, where opportunities remain, and which hypotheses are worth testing.
- ARTIFACT 01
Market map
Market structure, key segments, demand dynamics, constraints, growth drivers, and systemic risks.
HELPS ANSWER:Whether to enter the market, which segment to test first, and where demand expectations may be overstated.
- ARTIFACT 02
Audience map
Situations that create demand, motives, triggers, pain points, choice criteria, reasons for rejection, and the customer’s actual language.
HELPS ANSWER:Whom to sell to, which problem to put at the center, and which arguments to use.
- ARTIFACT 03
Competitive map
What competitors promise, how their offers, prices, and product lines are built, what customers praise or criticize, and which problems remain unresolved.
HELPS ANSWER:Where competition is already intense, how to differentiate, and which solutions not to copy.
- ARTIFACT 04
Channel map
Where demand appears, how ready the customer is to buy, which touchpoints can reach customers before competitors do, and which channels are worth testing.
HELPS ANSWER:Where to find the customer and at which stage to enter the conversation.
- ARTIFACT 05
Product hypotheses
Which product scenarios to test, what to include in the first version, which services could strengthen the product, and what not to build yet.
HELPS ANSWER:What to test before major development and where not to invest too early.
- ARTIFACT 06
Strategic insights
Non-obvious conclusions, links between market, audience, and product, growth opportunities, risks, and hypotheses for further testing.
HELPS ANSWER:Which conclusions should guide the next actions and what to check first.
Not every conclusion has the same level of evidence
Each conclusion receives a status: what is already supported by data, what looks like a strong signal, and what still needs to be tested.
Confirmed fact
Supported by available data, official sources, or direct observations.
Highest evidential strength
Strong signal
Several independent sources or observations point to the same pattern.
Consistent pattern
Hypothesis
A logical conclusion or direction suggested by the data, but still requiring practical testing.
Requires testing
No data
Available data is insufficient for a confident conclusion. More information or internal validation is needed.
Unknowns are recorded honestly
Analysis does not try to give a confident answer to everything. It shows what is already confirmed, what looks likely, what needs testing, and where data is still insufficient.
First 5 research projects — $350
The starter price applies to the first five research projects. This starter series helps build independent case studies across different industries and refine the research format.
$350
for the first 5 research projects
Base research format: market, audience, competitors, channels, and product hypotheses.
STARTER SERIES STATUS:
5 / 5 spots available- [01]OPEN
- [02]OPEN
- [03]OPEN
- [04]OPEN
- [05]OPEN
After the starter series, we will use an expanded research stack and additional data sources. As the depth and scope of the research increase, so will the price.
Research includes
- Market analysis and market changes
- Audience research and purchase barriers
- Competitive analysis
- Channel analysis
- Product and communication hypotheses
- Conclusion status: fact / strong signal / hypothesis / no data
- Integrated final deliverables
- Final review of research findings
Frequently asked questions
The main difference is not that this is a different ChatGPT, but the research process itself. AI helps collect and process information faster, but the result depends on human analytical work: choosing relevant sources, filtering out irrelevant information, noticing outdated data, checking contradictions, and preventing a weak source from distorting the conclusion. AI is used as a tool, not as a source of truth.
The absence of direct alternatives does not mean there is nothing to research. We can examine whether the need itself exists, which demand signals are already visible, how people solve the problem today without your product, and which alternatives they consider acceptable. Only then does it make sense to move to interviews, prototypes, and willingness-to-pay tests.
The research uses available statistics, competitor websites and products, reviews, discussions, professional communities, industry materials, regulations, and other relevant sources. Important conclusions are checked against several independent signals whenever possible. When data is insufficient, it is marked as a gap rather than filled with an assumption.
Yes, but the depth and confidence of the conclusions depend on how many reliable sources are actually available. In narrow B2B niches, professional communities, technical documentation, regulations, tender practices, and expert discussions are especially useful. If data is insufficient, that will be recorded honestly as an area for further validation.
Yes. This is one of the main values of research: testing an idea against evidence instead of confirming it at any cost. A hypothesis may be confirmed, narrowed to a more specific segment, or remain unproven. Those outcomes are documented in the research materials.
A fact is supported by direct data or reliable sources. A strong signal is a recurring pattern supported by several independent observations. A hypothesis follows logically from the data but still needs practical testing. When information is insufficient, the status is “no data”.
No. Research reduces the number of speculative hypotheses and clarifies which directions have stronger support in the data, but it does not replace real sales, interviews, or product tests.
Yes, especially for SaaS, apps, and other IT products. We can research the market, competitors, audience, user complaints, and existing solutions to understand where demand is already confirmed and what frustrates people in current products. This helps avoid starting development from scratch and relying only on intuition.
Have a business question worth researching?
The next step is a detailed brief about your business or project. It captures the starting point, clarifies what is already known, and formulates the questions the research should answer.