| name | tech-market-research |
| description | Conduct rigorous, decision-oriented market research for technology purchases. Use whenever a user wants help choosing, comparing, shortlisting, or researching tech products such as headphones, laptops, monitors, cameras, peripherals, smart-home devices, software services, or components—especially when they want current models, broad brand coverage, trusted reviews, prices, durability or repairability analysis, and a comparison table before a recommendation. |
Technology Market Research
Turn an ambiguous purchase request into an evidence-backed decision. The goal is not to rush toward a familiar brand or a single “best” product. First understand the user's actual constraints, then survey the credible market, identify evidence gaps, and make trade-offs visible.
1. Capture the decision brief
Use the conversation already available before asking anything. Summarize confirmed preferences as a concise decision brief, separating them into:
- Hard requirements: capabilities or compatibility that disqualify a product.
- High-priority preferences: comfort, quality, longevity, appearance, ecosystem, budget, and similar ranked concerns.
- Nice-to-haves: useful features that should not overrule a hard requirement.
- Unknowns: only ask about these if they could materially change the candidate set.
Interview conversationally rather than presenting a long questionnaire. Ask one useful question at a time, explain why it matters briefly when helpful, and keep prior answers stable unless the user revises them.
Do not make a recommendation while requirements are still being established unless the user explicitly asks for an early direction.
2. Set up the research
State the scope and time boundary. For a current purchase decision, use current web research and record the research date. Search both:
- Primary sources for specifications, compatibility, included accessories, official replacement parts, warranty, launch date, and regional availability.
- Trusted independent sources for measured performance, microphone samples, comfort over time, software quality, practical defects, and trade-offs.
Favor specialist testing outlets and established hands-on reviewers. Treat retailer pages as price/availability evidence only, never as quality evidence. Treat manufacturer marketing claims and unverified early impressions as provisional.
For products that are only weeks or months old, explicitly label the lack of long-term reliability evidence. Never infer durability from premium materials or launch language alone.
3. Scan the market systematically
Start with the major relevant brands, then add specialist brands where they genuinely meet the brief. Do not limit the scan to models already mentioned in the conversation.
Create an excluded-model log as you work. Record the reason a plausible product was excluded, especially a missed hard requirement. This avoids repeatedly revisiting attractive but unsuitable products.
Use a hard gate first. A model that fails a non-negotiable should not appear in the main shortlist, even if it excels elsewhere. Keep borderline models in a clearly labeled “caveat” group.
4. Research dimensions
Tailor the columns to the product category. For hardware purchases, investigate the dimensions that most often determine lived satisfaction:
- Current price and regional availability; distinguish MSRP from realistic street price.
- Compatibility, connectivity, platform limits, and mode-specific behavior.
- Measured or independently reviewed performance relevant to the use case.
- Comfort, ergonomics, size, weight, thermals, noise, and accessibility where relevant.
- Materials that wear: pads, hinges, cables, battery, coatings, ports, controls, and moving parts.
- Repairability: official availability of consumables, batteries, cables, adapters, dongles, headbands, and structural parts. A physically removable part is not equivalent to a part that can be bought.
- Software, firmware, account requirements, and feature reliability.
- Warranty, regional support, and known service limitations when material.
- Evidence quality and unresolved conflicts among sources.
When a product has multiple connection, operating, subscription, or performance modes, distinguish them precisely. For example, do not treat simultaneous operation, multipoint pairing, automatic priority switching, and one-button source switching as interchangeable. For any wear-prone material, name the actual material and distinguish replaceable consumables from non-serviceable ones.
5. Build the comparison
Before recommending anything, show a substantial Markdown table. The table should make it possible for the user to compare the trade-offs at a glance.
Use clear, compact columns such as:
| Model | Typical local price | Key specifications | Requirement fit | Durability / repairability | Important trade-offs | Evidence confidence |
|---|
For a large market, group rows by fit or product tier, but do not conceal credible alternatives. Use concise wording in cells and add a short legend for specialist terms. Link claims to the most direct official or independent source when presenting the finished table.
After the table, provide short clusters—not a winner—such as:
- Best fit for comfort and maintainability.
- Best fit for performance, accepting a trade-off.
- New models with promising specifications but immature evidence.
- Models the user should avoid because they contradict a stated priority.
Only recommend a product when the user asks to move from comparison to decision. State which requirement drove the recommendation and name the residual compromise.
6. Maintain evidence integrity
- Mark conflicts rather than silently choosing the most favorable source.
- Separate known facts from reviewer impressions and from reasonable inferences.
- Do not use a feature that the user said is unimportant to justify a higher price.
- Do not treat an unavailable replacement part, a discontinued product, or unclear regional warranty as a minor detail when longevity matters.
- Do not overstate general comfort claims for individual fit; invite a return-friendly purchase or an audition when fit is decisive.
- If prices, product lineups, laws, or specifications may have changed, verify them rather than relying on memory.
Output style
Lead with the useful decision state, not the search process. Keep ordinary updates concise. Use a visible table when the user asks to compare options or retain information for later. Preserve sources close to the claims they support.
Example trigger
“I need a laptop for photo work and occasional gaming. I care about quiet cooling, repairability, a good screen, and current Belgian pricing. Research every serious current option before recommending one.”
