RevelicaRevelica

Menu


Product Strategy

Competitive analysis that starts with the customer, not the competitor

Step 1Give your AI agents the strategic context they need

AI agents are only as good as the context you give them. Most teams dump a product brief into ChatGPT and wonder why the output is generic. The hard problem isn't getting AI to generate answers. It's engineering the right context so the AI understands your mission, your metrics, your trade-offs, and your strategic priorities at the exact moment it needs them. Revelica structures your strategic context and delivers the right pieces to the right agent at the right time.

Step 1.1

Company mission

Why does your company exist? Without mission context, AI agents optimize for local metrics and miss the bigger picture. When the agent researches competitors, it needs to know what you're ultimately trying to achieve, not just what you're building today.

Step 1.2

Company scorecard

Which metrics define success? Leading and lagging indicators across acquisition, activation, retention, and monetization. The agent uses your scorecard to evaluate opportunities against what actually moves the business, not just what sounds good.

Step 1.3

Strategic objectives

What are you trying to achieve this year? Each objective gets metrics, a responsible team, and a north star. When the agent surfaces competitive gaps or customer opportunities, it prioritizes the ones that advance these objectives.

Step 1.4

Product vision

Where is the product headed in 3-5 years? Target customer, key differentiators, market impact. The agent uses your vision to filter out recommendations that would win today but pull you off course for where you need to be.

Step 1.5

Product strategy

What type of product are you building and what are the strategic priorities? When the agent needs to recommend actions or score differentiation, it pulls from your strategy to connect analysis to what your teams are actually doing.

Step 1.6

Product principles

What trade-offs will you always make the same way? When the data is ambiguous and two options look equivalent, the agent falls back on your principles. Speed over polish. Privacy over personalization. Your call, consistently applied.

Step 2Model your customers by the job they need done

Your competitive analysis is only as good as your customer model. "Product managers" isn't actionable. "PMs who need to validate feature ideas before committing engineering time" is. Define segments by jobs to be done, then map how they get that job done today. That experience map reveals the solutions they actually use, and those are your real competitors.

Step 2.1

Define customer segments by JTBD

Group customers by the job they need done, not by title or industry. Each job has different needs, different alternatives, and different willingness to pay. This is the foundation everything else builds on.

Step 2.2

Map the customer experience

How does your customer get this job done today? Walk through each step. The experience map shows where the friction is, where they switch between tools, and where they give up and do it manually.

Step 2.3

Discover their current solutions

The answer is rarely just your direct competitor. It might be a spreadsheet, a Slack thread, or a workaround they built in Notion. These are the real alternatives you're competing against.

Step 3Map the competitive landscape from the customer's perspective

Your competitors aren't just the companies in your category. They're everything your customer uses to get the job done. Automated market research pulls the full picture together in minutes: direct competitors, adjacent tools, manual workarounds, and doing nothing at all.

Step 3.1

Research competing solutions automatically

The AI researches each competing solution, including the ones you hadn't considered. What do they offer? Where are they strong? What do their customers say? This used to take weeks of manual work.

Step 3.2

Include workarounds and manual processes

A PM using a spreadsheet to track assumptions is a competitor. A team doing nothing and hoping for the best is a competitor. If you don't include these, your landscape has blind spots.

Step 3.3

Build the landscape from customer evidence

Start from what customers actually use, not from what you assume they use. Interview data, support tickets, and sales conversations reveal the real alternatives.

Step 4Find your competitive differentiation

The most successful products follow a pattern: cover all the table stakes, have one performance feature where you're clearly best, and offer one delighter nobody else has. Score each value proposition against the competition honestly. If a competitor offers the same benefit at the same quality, that's not differentiation.

Step 4.1

Cover the table stakes

These are the basics every competitor offers. If you're missing one, customers won't even consider you. You don't win on table stakes, but you lose without them.

Step 4.2

Find your performance advantage

Where are you clearly better than every alternative? Pick one dimension and go deep. The best products don't try to win everywhere. They pick a fight they can win.

Step 4.3

Discover your delighter

What do you offer that no one else does? The thing customers didn't know they wanted until they saw it. If you don't have one, that's the gap worth closing.

Step 4.4

Score against alternatives honestly

For each value proposition, rate how well you deliver versus the competition. Customers figure out the truth eventually. Better to know your gaps now than discover them in churn data.

Step 5Turn competitive insights into team goals

Strategy without goals is a slide deck. Translate your differentiation into specific goals for each team. Then keep watching. In the AI age, competitors ship fast. Your delighter today might be table stakes tomorrow. When the landscape shifts, re-run the analysis and reset your goals.

Step 5.1

Give each team a desired outcome

Your differentiation analysis surfaces gaps. Each gap maps to a team. In Revelica, every teamspace has a desired outcome that focuses the team on one thing and gives the AI agents the strategic context they need. Pick one opportunity, measure progress, then move to the next.

Step 5.2

Monitor your industry, not just competitors

New features, new entrants, new technology that changes what's possible. Set up the sources that matter to your space and get a daily digest of what's changed. The best strategies don't just react to competitor moves. They spot industry shifts early enough to act on them.

Step 5.3

Re-validate when the market moves

Create a new value proposition and instantly research the competitors in that space. Model a pivot before you commit to one. When your differentiation erodes, find the next one.

Start validating

You can build anything now. Make it worth using.

14-day free trial, no credit card required

Product Strategy Framework: AI Competitive Analysis - Revelica