Conducting an Industry Rivalry Assessment with Qualitative Market Research
This skill teaches you how to systematically evaluate the intensity of competitive rivalry within an industry by combining quantitative market data with qualitative market research methods, producing a scored assessment that feeds directly into a Six Forces strategic analysis.
Start by identifying all direct competitors and grouping them into strategic clusters. Then evaluate rivalry intensity across structural factors like market growth rate, competitor concentration, product differentiation, switching costs, and exit barriers. Combine quantitative metrics with qualitative market research, including expert interviews and competitor behavior analysis, to score rivalry from low to high intensity.
Outcome: You produce a scored rivalry intensity assessment with documented evidence that identifies the key drivers of competition in your industry and feeds directly into strategic positioning decisions within the Six Forces Model.
Prerequisites
- Basic understanding of Porter's Five Forces or the Six Forces Model framework
- Familiarity with competitive analysis concepts like market share, switching costs, and barriers to exit
- Access to industry data sources such as IBISWorld, Statista, trade publications, or public filings
- Ability to conduct structured interviews or surveys with industry participants
Overview
Industry rivalry is the central force in any competitive analysis. It determines how aggressively firms compete for the same customers and how much of the industry's total profit gets competed away through price wars, advertising battles, product launches, and service improvements. Within the Six Forces Model, rivalry sits at the core, because the other five forces (buyer power, supplier power, threat of new entrants, threat of substitutes, and complementary products) all ultimately shape or amplify the intensity of head-to-head competition. Conducting a rigorous rivalry assessment is the skill that turns abstract competitive awareness into a structured, evidence-backed evaluation you can actually act on.
The core challenge is that rivalry intensity is not a single number. It emerges from the interaction of multiple structural factors: how fast the market is growing, how many competitors exist and how similar they are, how differentiated products are, how high switching costs run, and how difficult it is for struggling firms to exit. Each factor can push rivalry higher or lower, and the factors interact in non-obvious ways. A slow-growth market with four equal-sized competitors and low product differentiation creates brutal price competition, while a fast-growth market with the same structure might allow everyone to grow without direct confrontation. This is why qualitative market research, including expert interviews, competitor behavior observation, and customer perception studies, is essential alongside hard data. Numbers alone miss the strategic postures and unwritten rules that govern how competitors actually behave.
The artifact you produce is a rivalry intensity scorecard. This document lists each structural driver of rivalry, provides the evidence (both quantitative and qualitative) supporting your rating of that driver, assigns a score (typically on a 1-5 or low/medium/high scale), and concludes with an overall rivalry intensity rating plus a narrative summary explaining the dynamics. This scorecard feeds directly into the Six Forces synthesis, where it combines with the other force assessments to shape strategic recommendations. A well-executed rivalry assessment also reveals which specific rivalry drivers your strategy can influence, such as increasing differentiation or raising switching costs, versus which drivers are structural constraints you must accept and plan around.
How It Works
The rivalry assessment works by decomposing the concept of "competitive intensity" into its structural drivers and evaluating each one independently before combining them into an overall judgment. This decomposition matters because rivalry is not a feeling or a gut sense. It is the observable result of specific industry conditions. By evaluating each condition separately, you avoid the common trap of anchoring on the most visible form of competition (usually price) while ignoring equally important but less dramatic factors like capacity utilization cycles or competitor exit barriers.
The structural drivers fall into two categories: those that determine how many competitors are fighting and those that determine how hard they fight. The first category includes market concentration (how evenly market share is distributed), the number of competitors, and the rate of industry growth. A fragmented market with many small players tends toward higher rivalry than a consolidated market with two dominant firms, because no single firm can set the pace. Growth rate matters because in fast-growing markets, firms can increase revenue without stealing from competitors, which lowers the incentive for aggressive tactics.
The second category includes product differentiation, switching costs, fixed cost structures, capacity constraints, and exit barriers. When products are commoditized and switching costs are low, customers move freely between competitors, forcing firms to compete on price. High fixed costs create pressure to fill capacity, which drives price-cutting during demand downturns. Exit barriers, such as specialized assets, long-term contracts, or emotional attachment, keep unprofitable competitors in the market longer than economic logic would predict, maintaining excess capacity and sustaining price pressure.
Qualitative market research is what gives these structural factors their real-world texture. Quantitative data tells you that the market has a Herfindahl-Hirschman Index of 1,200, but qualitative research tells you that the three largest firms have an unspoken agreement to avoid competing on price in certain segments, or that a mid-sized competitor is about to be acquired and will likely become more aggressive under new ownership. Expert interviews reveal competitive dynamics that never appear in public data. Customer perception studies reveal how differentiated products actually are in buyers' minds, as opposed to how differentiated firms believe them to be. Competitor behavior analysis, including tracking pricing moves, product launches, hiring patterns, and public statements, reveals strategic intent.
The scoring mechanism works by rating each structural factor on a consistent scale, typically 1 (low rivalry contribution) to 5 (high rivalry contribution), then weighting factors based on their relevance in the specific industry context. Not all factors matter equally in every industry. In enterprise software, switching costs and product differentiation dominate. In commodity chemicals, fixed costs and capacity utilization dominate. The weighting itself is a qualitative judgment informed by your research. The final score is not a precise measurement. It is a structured, defensible assessment that forces explicit reasoning about why rivalry is at the level it is, and what could change it.
Step-by-Step
Step 1: Define the Industry Boundaries
Before you can assess rivalry, you need to know exactly which competitors and products fall within scope. Define the industry by its core product or service category, geographic scope, and customer segments. For example, "cloud-based project management software for mid-market B2B companies in North America" is a specific enough boundary to produce useful analysis. Avoid defining the industry too broadly ("software") or too narrowly ("project management tools with built-in time tracking for agencies with 50-200 employees").
Write a one-paragraph industry definition that would help a new analyst understand exactly which companies to include and exclude. This boundary directly determines which competitors you evaluate in subsequent steps.
Tip: When in doubt, define two boundaries: a narrow "core" industry and a broader "extended" industry. Assess rivalry for the core and note where extended competitors create additional pressure. This prevents you from missing important competitive dynamics while keeping the analysis focused.
Step 2: Identify and Map All Competitors
Create a comprehensive list of every competitor operating within your defined industry boundaries. Start with the obvious direct competitors, then use multiple discovery methods to find less visible ones: search for industry reports from IBISWorld or Gartner, review trade publication coverage, check customer review sites like G2 or Capterra, search job boards for companies hiring in your space, and look at the "alternatives" sections on competitor websites. For each competitor, record their estimated revenue or market share, founding date, primary product positioning, and geographic coverage. Group competitors into 2-4 strategic clusters based on similarities in positioning, pricing, and target customers.
A strategic cluster is a group of firms that compete more directly with each other than with firms in other clusters. Document the total count of meaningful competitors and note the market share distribution.
Tip: Pay special attention to well-funded startups that do not yet have significant market share but have raised large rounds. They may not show up in market share data yet, but their fundraising signals future aggressive competition.
Step 3: Gather Quantitative Rivalry Data
Collect hard numbers for each structural driver of rivalry. For market growth rate, pull industry revenue growth over the past 3-5 years from industry reports, analyst estimates, or public company filings. For market concentration, calculate the combined market share of the top 4 firms (CR4) or estimate the Herfindahl-Hirschman Index if you have share data for all major players. For fixed cost structure, look at competitor gross margins and operating leverage from public filings or industry benchmarks.
For capacity, estimate industry utilization rates if applicable (manufacturing, cloud infrastructure, professional services). For switching costs, research contract lengths, integration complexity, and data portability across the major players. Organize all quantitative data into a single reference table with the source and date for each data point.
Tip: Public company 10-K filings are goldmines for rivalry data. The "Competition" section often lists competitors by name and describes competitive dynamics. The MD&A (Management Discussion and Analysis) section reveals how management perceives competitive intensity and which factors they believe drive it.
Step 4: Conduct Qualitative Market Research
This is where your assessment gains the depth that distinguishes it from a superficial analysis. Conduct 3-5 expert interviews with industry participants: former employees of competitors, industry analysts, channel partners, or long-tenured customers who have watched the competitive landscape evolve. Prepare a semi-structured interview guide with questions about how competitors actually compete (price, features, relationships, brand), whether there are unwritten rules or norms in the industry, which competitors are becoming more or less aggressive and why, and how customers perceive the differences between offerings. Supplement interviews with competitor behavior analysis: review the last 12 months of competitor pricing changes, product launches, marketing campaigns, executive hires, and public statements.
Look for patterns that reveal strategic intent. Document all qualitative findings with specific quotes and observations, organized by the structural driver they inform.
Tip: Former employees who left competitors within the past 6-18 months are the most valuable interview subjects. They have current knowledge but enough distance to speak candidly. LinkedIn is the most efficient way to identify and reach them. Frame your request as industry research, not competitive intelligence, and offer to share your findings.
Step 5: Score Each Structural Driver of Rivalry
Create a rivalry scorecard with one row per structural driver. The standard drivers are: market growth rate, number and balance of competitors, product differentiation, switching costs, fixed cost to variable cost ratio, capacity constraints, exit barriers, and strategic stakes (how important this market is to each competitor's overall business). For each driver, write a 2-3 sentence evidence summary citing both your quantitative data and qualitative research. Then assign a score from 1 (this factor reduces rivalry) to 5 (this factor intensifies rivalry).
For example, a market growing at 25% annually would score 1-2 on growth rate because rapid growth reduces rivalry, while a market declining at 3% would score 4-5. Score each factor independently before looking at the overall picture. Write down your reasoning for each score so another analyst could understand and challenge your judgment.
Tip: Score each factor before discussing with colleagues. If you score collaboratively from the start, the most senior person's initial opinion tends to anchor the group. Independent scoring followed by discussion produces more accurate assessments and surfaces genuine disagreements about the evidence.
Step 6: Weight the Factors for Your Industry Context
Not all rivalry drivers matter equally in every industry. In a commodity business, fixed costs and capacity utilization may account for 60% of the rivalry dynamic, while product differentiation barely matters. In a SaaS market, differentiation and switching costs may dominate while capacity constraints are irrelevant. Review your evidence and assign percentage weights to each driver that reflect its importance in your specific industry.
The weights should sum to 100%. " That factor gets the highest weight. Calculate a weighted rivalry score by multiplying each factor's score by its weight and summing the results. This produces a number between 1 and 5 that represents overall rivalry intensity.
Tip: If you are unsure about weights, start with equal weights and then adjust based on what your qualitative research emphasized. If every expert interview focused on price competition driven by overcapacity, that tells you fixed costs and capacity should be weighted heavily.
Step 7: Identify Rivalry Dynamics and Trigger Points
Beyond the static score, identify the dynamics that could shift rivalry intensity up or down. Look for trigger points: events or trends that would meaningfully change competition. Common triggers include a major competitor being acquired (which could increase or decrease rivalry depending on the acquirer's strategy), a significant technology shift that resets differentiation, a new entrant from an adjacent market with deep pockets, regulatory changes that alter barriers, or a market growth slowdown that forces competitors to fight for share rather than grow with the market. List 3-5 plausible trigger points, estimate their likelihood over the next 2-3 years, and describe how each would affect rivalry intensity.
This forward-looking analysis makes your assessment actionable rather than merely descriptive.
Tip: Check recent M&A activity, funding rounds, and executive moves in your competitor map. These are often leading indicators of strategic shifts that will alter rivalry dynamics within 6-18 months. A flurry of acquisitions by one player usually signals a push for consolidation.
Step 8: Write the Rivalry Assessment Narrative
Compile your scorecard, evidence, and dynamic analysis into a structured document. The format should include: (1) a one-paragraph executive summary stating the overall rivalry intensity level and its primary drivers, (2) the scored rivalry scorecard table with evidence summaries, (3) a detailed narrative explaining the most important 2-3 drivers and how they interact, (4) the trigger points analysis, and (5) strategic implications, specifically what the rivalry assessment means for pricing power, investment requirements, and competitive positioning. Write for an audience that includes both strategists and executives. The narrative should be specific enough to guide decisions, not so hedged that it fails to take a position.
Conclude with a clear statement of whether rivalry is trending higher, lower, or stable, and what would need to change for that trajectory to reverse.
Tip: End with a "So What" section that explicitly connects the rivalry assessment to strategic choices. For example: "High rivalry driven primarily by low differentiation means that a differentiation strategy through [specific approach] would have outsized impact on competitive position, while a cost-leadership approach would invite destructive price competition."
Step 9: Integrate with the Full Six Forces Analysis
Your rivalry assessment does not stand alone. It feeds into the broader Six Forces Model analysis alongside assessments of buyer and supplier power, threats from new entrants and substitutes, and complementary products. Review your rivalry assessment against the other force evaluations and note where forces amplify or moderate each other. For example, high buyer power combined with high rivalry is a particularly difficult combination because buyers can play competitors against each other.
Low threat of new entrants combined with high rivalry suggests that rivalry will remain among current players rather than being disrupted by outsiders. Document these cross-force interactions and update your rivalry narrative if insights from other forces change your interpretation of competitive dynamics.
Tip: The synthesis step is where the real strategic value emerges. If you conducted all six force assessments, schedule a dedicated working session to map the interactions before finalizing any individual assessment. Insights from one force frequently change how you interpret another.
Examples
Example: B2B SaaS Project Management Market
A mid-stage SaaS company with $15M ARR is entering its annual strategic planning cycle and needs to assess rivalry in the cloud-based project management space serving mid-market companies (100-2,000 employees) in North America. The team has access to Gartner reports, G2 review data, and can schedule 4 expert interviews over two weeks.
The team defines the industry boundary as cloud-based project management tools priced between $10-$50 per user per month targeting companies with 100-2,000 employees. com, Smartsheet), developer-oriented tools (Jira, Linear, Shortcut), and niche verticalized solutions (Wrike for agencies, Teamwork for services firms). Market growth data from Gartner shows 18% CAGR, which scores 2 on the rivalry scale (growth reduces rivalry pressure). com product director and two agency buyers reveal that despite market growth, the established platforms are converging on similar feature sets, and buyers increasingly describe the tools as interchangeable.
Product differentiation scores 4. Switching costs score 2 because most tools offer import/export and implementation takes 2-4 weeks. The CR4 is approximately 55%, scoring 3 for market concentration. 4 out of 5, indicating moderate-to-high rivalry.
The key trigger point identified is that if market growth slows below 10%, the converging feature sets will drive price competition among the top four players. The strategic implication is clear: the company should invest in vertical specialization to escape the undifferentiated middle, where rivalry is most intense.
Example: Regional Commercial Construction Industry
A commercial construction firm operating across three southeastern US states wants to understand rivalry dynamics before deciding whether to expand into a fourth state. The company has $80M annual revenue and primarily serves healthcare and education facility projects. They have strong relationships with subcontractors and local architects who can serve as qualitative research sources.
The firm defines the industry boundary as commercial construction (projects $5M-$50M) in Georgia, Alabama, and the Carolinas, with healthcare and education focus. Competitor mapping identifies 22 firms of various sizes, but only 7 regularly compete for the same projects. The team conducts interviews with three architects who select construction partners, a retired executive from a competing firm, and two project owners who have managed competitive bid processes. Quantitative data shows the regional market growing at 4% annually (score 3) with high fixed costs in equipment and bonded capacity (score 4).
Qualitative research reveals a critical insight: rivalry is project-type dependent. Healthcare construction has higher barriers (specialized certifications, track record requirements) and only 4 qualified competitors, while general commercial has 15+ competitors and intense price-based competition. Product differentiation in healthcare scores 3 (track record and relationships matter) while general commercial scores 5 (pure price competition). 2 (high).
The strategic recommendation is to expand into the fourth state with healthcare specialization first, where rivalry is manageable, rather than general commercial, where price competition would erode margins before the firm builds local relationships.
Example: Direct-to-Consumer Skincare Brand
A DTC skincare brand with $3M annual revenue is evaluating whether to launch a new product line. Before investing, the founder wants to understand rivalry intensity in the specific subsegment of clean, science-backed skincare products priced between $25-$75 per item, sold primarily online. Resources are limited: one analyst, two weeks, and a budget for customer surveys but not paid industry reports.
The analyst defines the industry boundary as DTC clean skincare brands with science-backed claims, $25-$75 price range, sold primarily via their own website and Amazon. Competitor identification uses a combination of Amazon search results, Instagram hashtag research, and beauty editor roundup articles, producing a list of 35 brands. Strategic clustering reveals four groups: venture-backed scale players (The Ordinary, Drunk Elephant), founder-led mid-size brands ($5M-$30M revenue), celebrity-backed brands, and emerging micro-brands. Since paid industry reports are out of budget, quantitative data comes from Amazon BSR rankings, SimilarWeb traffic estimates, and social media follower counts.
A customer survey of 150 existing customers asks about brand switching behavior and perceived differentiation. " This gives product differentiation a score of 5 and switching costs a score of 5. Market growth scores 2 (the clean beauty segment is growing at 12% annually). 1 (high rivalry).
The key strategic insight is that rivalry in this segment is driven almost entirely by low differentiation and zero switching costs, meaning the winning strategy requires either genuine product differentiation through proprietary ingredients or formulations, or building a brand moat through community and content that creates emotional switching costs. The founder decides to delay the new product line and invest in patenting a proprietary ingredient complex first.
Example: Enterprise Cybersecurity Platform Market
A large cybersecurity company with $200M revenue is preparing a board strategy presentation and needs a rigorous rivalry assessment of the endpoint detection and response (EDR) market. The strategy team has three analysts, access to Forrester and IDC reports, relationships with industry analysts for interviews, and public filings from five publicly traded competitors.
The team defines the industry as endpoint detection and response platforms serving enterprises with 5,000+ endpoints, priced on a per-endpoint subscription model. Competitor mapping identifies 8 major players: CrowdStrike, SentinelOne, Microsoft, Palo Alto Networks, Trellix, Trend Micro, Sophos, and Cybereason. The team clusters these into three groups: pure-play cloud-native (CrowdStrike, SentinelOne), platform players bundling EDR with broader security suites (Microsoft, Palo Alto), and legacy players modernizing (Trellix, Trend Micro). Quantitative analysis of public filings reveals that CrowdStrike and Microsoft together hold approximately 45% of the market, giving a CR2 of 45% and CR4 of 68% (score 2, moderately concentrated).
Market growth is 15% (score 2). However, qualitative interviews with three Forrester analysts and two CISO buyers reveal a critical dynamic: Microsoft is increasingly bundling EDR into its E5 security suite at effectively zero marginal cost, which is disrupting the pricing model for standalone vendors. This gives the fixed cost and pricing pressure factor a score of 5. Switching costs score 3 because EDR integration with SIEM and SOAR platforms creates moderate lock-in, but customers report willingness to switch during contract renewals.
Exit barriers score 4 because several legacy players have large installed bases generating renewal revenue, keeping them in the market despite losing competitive position. 6 (moderate-to-high). The primary trigger point is Microsoft's bundling strategy: if enterprise buyers increasingly adopt Microsoft Defender as "good enough," standalone EDR vendors will face intensifying rivalry for a shrinking addressable market. The board presentation recommends investing in platform expansion beyond EDR to reduce exposure to the Microsoft bundling threat and increase switching costs through deeper integration across the security stack.
Best Practices
Separate data collection from scoring. Gather all your quantitative data and complete your qualitative market research interviews before you assign any scores. Scoring while collecting data creates confirmation bias, because once you form an initial impression, you unconsciously seek evidence that confirms it and discount evidence that contradicts it.
Use competitor behavior as your primary qualitative signal, not competitor claims. What competitors do with their pricing, product roadmaps, and hiring reveals their actual strategy. What they say in press releases and conference talks reveals their desired perception. When behavior and claims diverge, trust the behavior.
Score confidence independently in writing before any group discussion, because shared discussion anchors confidence upward and compresses the spread of scores. Have each analyst write their individual score and reasoning before the group convenes. Disagreements between independent scores are the most valuable signals in the assessment, as they reveal genuine uncertainty that needs more evidence.
Refresh your rivalry assessment at least annually, or whenever a significant trigger event occurs. Markets evolve, competitors enter and exit, and strategies shift. A rivalry assessment more than 18 months old is likely to mislead rather than inform. Set calendar reminders for periodic updates and track which factors have changed since the last assessment.
Document your evidence chain for every score. A score without evidence is an opinion. A score with evidence, especially a mix of quantitative data and qualitative research, is a defensible analytical judgment. When a stakeholder challenges your rivalry rating, you need to point to specific data points and interview insights, not just your professional intuition.
Give extra weight to rivalry factors that your company can actually influence. While all factors matter for understanding the competitive landscape, strategic value comes from identifying factors where your actions can shift the dynamic. If you can increase switching costs through deeper product integration, that factor deserves particular attention in both your assessment and your resulting recommendations.
Cross-reference your assessment against what public companies in the industry say about competition in their SEC filings. The "Risk Factors" and "Competition" sections of 10-K filings are written by legal counsel to disclose material risks. They tend to be more honest about competitive intensity than marketing materials, and they often list specific competitors and competitive dimensions that validate or challenge your own analysis.
Test your assessment against recent market outcomes. If your assessment says rivalry is low but you observe aggressive price-cutting and shrinking margins across the industry, your assessment is wrong regardless of what the structural factors suggest. Outcomes are the ultimate validation.
Common Mistakes
Equating the number of competitors with rivalry intensity
Correction
A market with 50 competitors can have lower rivalry than a market with 3 competitors if the 50-player market is highly fragmented with strong regional niches and the 3-player market has undifferentiated products and excess capacity. The number of competitors is one input, not the answer. Always evaluate how similar competitors are to each other and how directly they compete for the same customers. If you find yourself anchoring on competitor count, step back and ask what happens when a customer considers switching: do they have meaningful alternatives, and how hard do competitors fight to win or retain that customer?
Relying only on quantitative data and skipping qualitative market research
Correction
Quantitative data shows the structure, but qualitative research reveals the behavior. Market share data might show four evenly balanced competitors, suggesting high rivalry. But expert interviews might reveal that two of those competitors are pivoting to adjacent markets and reducing their investment in this one, which means effective rivalry is between two firms, not four. Skipping interviews and behavioral analysis produces assessments that look rigorous but miss the actual competitive dynamics.
Budget at least 40% of your assessment time for qualitative research. If your final assessment contains no quotes from industry experts and no observations about competitor behavior, it is incomplete.
Treating rivalry as a static condition rather than a dynamic system
Correction
Many assessments produce a snapshot score and stop there. This misses the most strategically valuable part of the analysis: understanding what could change rivalry intensity and when. A market with moderate rivalry today can shift to intense rivalry within 12 months if the largest player gets acquired by a well-funded conglomerate or if market growth stalls. Always include trigger point analysis.
Watch for leading indicators like unusual hiring patterns, patent filings, pricing experiments in secondary markets, and executive departures at competitors. These often signal strategic shifts 6-12 months before they become obvious.
Scoring product differentiation based on feature lists rather than customer perception
Correction
Companies routinely overestimate how differentiated their products are. Feature comparison matrices show dozens of differences, but customers often perceive products in a category as interchangeable. The correct way to assess differentiation is through customer perception: how do buyers describe the differences between options? Can they name specific reasons they chose one over another?
If customers say 'they're all pretty similar' or 'we chose based on price,' differentiation is low regardless of what the feature matrices show. Use customer interviews, win/loss analysis, and review site comments as your primary differentiation evidence, not internal product comparisons.
Ignoring exit barriers and their effect on rivalry
Correction
Exit barriers are the least intuitive rivalry factor and the one most often overlooked. When firms cannot profitably leave an industry, they stay and compete even at below-average returns, maintaining excess capacity and sustaining price pressure. Common exit barriers include specialized assets with no alternative use, long-term customer contracts, regulatory obligations, and emotional attachment from founders or long-tenured leadership. If your industry has firms that have been marginally profitable for years but refuse to exit, high exit barriers are likely a significant rivalry amplifier.
Check for this by looking at how many competitors have been in the market for over a decade with below-average margins.
Producing an assessment with vague conclusions that avoid taking a clear position
Correction
An assessment that concludes 'rivalry is moderate with some intense elements' adds no strategic value. The purpose of the assessment is to inform specific decisions about pricing, investment, positioning, and competitive response. Force yourself to make a clear call: is rivalry high, moderate, or low? Is it trending up or down?
What are the 2-3 most important drivers? What specific strategic actions does this imply? If you find yourself hedging every conclusion, it usually means you need more evidence in specific areas, not that the answer is inherently ambiguous. Go back and do more qualitative market research on the areas where your evidence is thin rather than papering over uncertainty with vague language.
Other Skills in This Method
Selecting Tools and Templates for Six Forces Research
How to choose and configure market research tools, visualization software, and scoring templates to streamline and standardize a Six Forces analysis.
Mapping the Complementary Products Force
How to identify, evaluate, and analyze the sixth force—complementary products and services—that distinguishes the Six Forces Model from Porter's Five Forces.
Collecting Data for a Six Forces Analysis
How to design and execute a structured market research process—including surveys, secondary sources, and industry databases—to populate each of the six forces with reliable data.
Synthesizing Six Forces into Strategic Recommendations
How to combine findings from all six forces into a cohesive strategic positioning map that guides investment, partnership, and competitive strategy decisions.
Evaluating Buyer and Supplier Bargaining Power
How to gather primary and secondary market research data to assess the bargaining power of buyers and suppliers as distinct forces shaping industry profitability.
Assessing Threats of New Entrants and Substitutes
How to use consumer market research and competitive intelligence to quantify the threats posed by new market entrants and substitute products or services.
Frequently Asked Questions
How do I assess rivalry when I cannot find reliable market share data?
Use proxy metrics instead of precise market share. Employee count from LinkedIn, web traffic from SimilarWeb, app download estimates, social media following, and job posting volume all serve as rough proxies for relative size. For B2B companies, look at customer logos on competitor websites and count enterprise mentions in earnings calls. Combine three or more proxy metrics to triangulate relative positioning. Your qualitative market research interviews can also help: ask industry experts to rank competitors by size and describe the competitive balance. Approximate data with explicit uncertainty ranges is far more useful than no data at all.
How long should a rivalry assessment take for a small team?
A solo analyst should budget 3-5 hours for a streamlined assessment: 1 hour for industry definition and competitor mapping, 1-2 hours for data gathering, 30-60 minutes for expert interviews or survey analysis, and 1 hour for scoring and writing. If you are conducting deep qualitative market research with multiple interviews, add another 3-4 hours spread across scheduling and conducting conversations. A three-person team can produce a comprehensive assessment in one focused week, with parallel workstreams for quantitative data, qualitative interviews, and competitor behavior analysis.
Should I assess industry rivalry before or after evaluating buyer power and supplier power?
Start with rivalry because it provides context for all other forces. When you later [evaluate buyer and supplier power](/skills/evaluating-buyer-and-supplier-power), your understanding of rivalry dynamics helps you interpret how those forces actually manifest. For example, high buyer power is more damaging in a high-rivalry market because buyers can credibly threaten to switch to eager competitors. However, be prepared to revisit your rivalry scores after completing the other force assessments, because insights from buyer power, supplier power, and [new entrant threats](/skills/assessing-threat-of-new-entrants-and-substitutes) frequently reveal rivalry dynamics you initially missed.
How do I handle industries where competition is primarily non-price?
Non-price competition (features, brand, service quality, innovation speed) is still rivalry. It just manifests differently. Instead of measuring price wars, measure R&D spending as a percentage of revenue, product launch frequency, marketing spend intensity, and customer acquisition cost trends. Qualitative market research is especially important here because you need to understand which non-price dimensions competitors are investing in and whether customers actually value those investments. Score the same structural factors but weight differentiation and switching costs more heavily than fixed costs and capacity. An industry with intense non-price rivalry can actually be more attractive than one with price rivalry, because non-price competition often creates durable advantages rather than destroying margins.
Why does my rivalry assessment keep producing 'moderate' scores?
This is the most common assessment failure and it usually has one of three causes. First, you may be averaging across factors without weighting, which mechanically pulls scores toward the middle. Apply weights based on which factors your qualitative research shows actually drive competitive behavior. Second, you may be using vague evidence that could support either a high or low score, leading you to default to the middle. Go back and get more specific data. Third, you may be unconsciously hedging because a clear "high" or "low" conclusion feels risky to present. Force yourself to take a position and document the specific evidence that would change your mind. If everything genuinely scores 3, the most interesting finding is usually the specific factor that breaks the pattern.
Can I use AI tools to speed up my qualitative market research?
AI tools can help with several parts of the process but cannot replace primary qualitative research. Use AI to summarize earnings call transcripts, extract competitive mentions from 10-K filings, analyze patterns in customer review data from G2 or Capterra, and draft initial competitor profiles. However, the most valuable qualitative insights come from expert interviews, which require human judgment to probe unexpected responses and follow interesting threads. Use AI to prepare for interviews (researching the interviewee's background, generating targeted questions) and to analyze interview transcripts afterward, but conduct the interviews yourself. AI-generated competitive analyses without primary research tend to produce generic assessments that miss the industry-specific dynamics that make rivalry assessments actionable.
How does the rivalry assessment connect to the complementary products force in the Six Forces Model?
Complementary products can either intensify or reduce rivalry. When strong complements exist, they can create switching costs that reduce rivalry. For example, if your product integrates deeply with a popular complement, customers face higher switching costs and rivals must match the integration to compete effectively. Conversely, if a dominant complement provider (like a platform or operating system) starts offering your product's functionality as a built-in feature, rivalry among standalone vendors intensifies dramatically. Your [complementary products assessment](/skills/mapping-complementary-products-force) should explicitly identify how complements affect competitive dynamics, and your rivalry assessment should incorporate those effects. This cross-force interaction is one of the key additions the [Six Forces Model](/methods/six-forces-model) brings to competitive analysis.