Market Research, Competitor Intelligence, and Social Listening

What this is for

Help a team understand the market before committing to an idea—and revisit that judgment when competitors, customer expectations, or the category change.

When this helps

• A competitor launches something and everyone wants to copy it.
• Social attention gets mistaken for representative customer demand.
• Research is saved in a deck but never changes the experiment or roadmap.
• Market claims arrive without a source, date, or explanation of what remains unknown.

How it works

Specky has web-research tools for market topics, competitor websites, release notes, pricing, reviews, hiring, and accessible public social mentions. Ask in AI Chat or run a relevant research workflow. Give specific sources and scope when you have them. Specky can bring findings into the Product Graph and compare them with your ICP, customer evidence, opportunities, and objectives. Source access, configured research services, plan limits, and the available evidence affect what can be returned. This is not a complete social-network firehose or access to private groups.

Before you start

• Your product idea or current bet, target customer, market, geography, and decision horizon.
• Competitor names or domains, topics or phrases to investigate, and a date range.
• Specific release notes, product pages, reviews, or public discussions when available.
• Your own customer observations, strategy, and constraints, if you want a comparison with the roadmap.

What you should see

• A source-linked brief covering the material findings and gaps.
• A distinction between a published fact, a customer observation, and a strategic inference.
• Implications for your particular segment and bet, not an instruction to copy competitors.
• The next assumption to test, with evidence that would support or challenge it.

Try it now

1. Open AI Chat. State the decision first: “Should we invest in offline commissioning for installers at poor-connectivity sites?”
2. Ask for recent competitor releases and relevant market or public discussion evidence. Specify a period, geography, and sources. Ask Specky to distinguish announcement dates from availability dates.
3. Open the returned sources. Check whether a feature is announced, in preview, or generally available, and whether the comparison uses similar pricing and product conditions.
4. Ask what customers are struggling with in accessible reviews and discussions. Inspect who posted, when, and in what context. Repeated posts, self-selection, and a small sample can distort the picture.
5. Ask Specky to compare the findings with your ICP and real customer evidence. Request the strongest argument for the bet, the strongest argument against it, and the important unknowns.
6. Carry the unresolved belief into Idea Validation. Define a small test and the conditions under which you would build, change direction, or stop.
7. For ongoing research, create a scheduled workflow with named competitors, sources, cadence, and an output destination. Verify a successful first run and its citations before relying on the schedule.

A real example

Illustrative connected-product example. A competitor announces offline device setup. That establishes a market event—not that your customers need the same feature. Ask Specky to compare the published release notes, accessible installer discussions, and your own field reports. A useful brief might conclude that the bet is plausible but unproven, with a prototype commissioning test as the next step. If sources are unavailable or there are no relevant customer observations, the useful output is the gap, not a fabricated demand score. The same approach works for software pricing changes, onboarding features, and new market segments.

Your next move

Continue with Idea Validation, the competitive-analysis recipe, or weekly competitive monitoring. For hardware context, read Hardware and Connected Products.