Model · 7 min read
CI Program Maturity Model
A maturity assessment and priorities for improving the programme.
Klue, Luis Madureira, Aleš Popovič and Mauro Castelli · View sources ↓At a glance
- Use this when
- You need to diagnose how reliably your competitive intelligence programme supports decisions.
- What you will work towards
- A maturity assessment and priorities for improving the programme.
- Bring to the reading
- A specific decision from your work and the customer evidence you have so far.
What it is
A staged model for diagnosing how mature a company's competitive intelligence (CI) function actually is, the direct structural sibling of the Sales Enablement Maturity Model (Category 9) applied to the CI discipline rather than enablement. Klue, a competitive-enablement software vendor, published a five-stage version, the Competitive Enablement Maturity Model, developed with the Strategic and Competitive Intelligence Professionals association (SCIP) from its 2021 Competitive Enablement Report survey data: Ad Hoc (competitor knowledge lives in individual heads, no shared repository, no owner), Adopting (a named function exists and first attempts at battlecards and a shared repository appear, but intel is scattered across Slack, email, and shared drives), Impacting (structured processes and a dedicated CI tool are in place, with the first real cross-functional distribution to sales), Influencing (CI findings demonstrably shape roadmap, positioning, and go-to-market decisions, not just sales collateral), and Transforming (CI is embedded across the company as a continuously measured system with executive visibility). A separate academic systematic review (see Sources) surveyed fourteen distinct published CI maturity models and found consistent convergence around the same underlying dimensions, evidence this is a genuinely converged practice rather than one vendor's invention. This entry adapts that research tradition into a distinct model for this knowledge base rather than reproducing Klue's stage names verbatim, in the same spirit as this knowledge base's existing Forrester Customer Advocacy Model.
When to use it
- You are inheriting a CI function, or building one from scratch, with no clear picture of what exists. A fast, honest diagnosis beats guessing from whatever battlecard was most recently updated.
- Sales reports that competitive intel is stale, hard to find, or contradicts what they hear live in deals. This is almost always a symptom of a function stuck at Ad Hoc or Adopting, not a research-quality problem alone.
- Leadership asks why the company isn't in a specific analyst report, or seems consistently surprised by a competitor's move. Both are classic Ad Hoc-to-Adopting symptoms: no systematic monitoring, no distribution loop.
- You have built strong point-in-time artefacts (a battlecard, a perceptual map) but they decay within a quarter. As with the Sales Enablement Maturity Model, that decay usually points to a stage gap in ownership or tooling, not an asset-quality gap.
- You need a business case for CI headcount or a dedicated competitive-intelligence platform. A scored stage and a named target give leadership a concrete "what this actually costs to fix" ask instead of an unscored list of requests.
Ownership
At a scaled company with a dedicated Competitive Intelligence Manager or a Head of Competitive Intelligence, that role owns the scoring exercise and the target-stage decision, with the Head of Product Marketing signing off since CI findings feed directly into positioning and battlecards. At a solo or founding-PMM stage, competitive intelligence usually has no dedicated owner at all, and the founding PMM runs the scoring, the interviews, and the target-setting alone, since there is no separate CI role to hand any of it to.
How to read it
Read the five stages as a ladder across four dimensions that must each clear a bar before a team can honestly claim the next stage. Repository and process: Ad Hoc has no shared location, Adopting has a first shared drive or Slack channel with no structure, Impacting has a dedicated CI tool with a defined intake process, Influencing has that process feeding a documented cadence of deliverables, Transforming has the process embedded in company-wide planning rituals. Distribution to sales: Ad Hoc is nothing beyond word of mouth, Adopting is a first static battlecard or deck, Impacting is regular, versioned battlecards distributed through a tool reps actually use, Influencing ties distribution to measured usage, Transforming ties usage to deal outcomes. Cross-functional reach: Ad Hoc is CI talking to itself, Adopting reaches sales only, Impacting reaches sales and marketing, Influencing reaches product and executive planning, Transforming is a standing input to strategic decisions across the company. Measurement: Ad Hoc tracks nothing, Adopting tracks anecdote, Impacting tracks content usage, Influencing ties usage to win rate, Transforming reports CI's revenue impact as a standing metric. A function is rarely at the same stage across all four dimensions at once; the gap between them is usually the real finding.
How to apply it
- Score each of the four dimensions honestly and separately, resisting a single blended score; a function can be Impacting on repository and process while still Ad Hoc on cross-functional reach, and averaging hides exactly the gap worth fixing.
- Interview a sample of the sales reps and product managers who should be consuming CI output, not just whoever runs the function. Ask what they actually use in a live deal or planning cycle, and what they have built themselves because nothing existed; consumer behaviour is the real signal, not the CI team's own inventory count.
- Identify the lowest-scoring dimension as the priority, not the lowest-scoring stage overall. A function stuck at Ad Hoc on measurement while Impacting everywhere else should instrument next, not produce more battlecards that will only compound the same measurement gap.
- Set a realistic target, one stage forward on the priority dimension, for the next two quarters, rather than "Transforming" as an immediate goal.
- Name an owner and a review cadence for the dimension being advanced, since ownership and cadence are themselves stage-defining criteria; a plan with no named owner cannot progress past Ad Hoc on repository and process, however much research exists.
- Re-score quarterly against the same four dimensions, tracking movement rather than activity; a quarter of heavy research output that does not move the distribution or measurement score has not actually advanced the function's stage.
- Use the resulting stage and specific dimension gaps as the business case for the next CI investment, the same pattern the Sales Enablement Maturity Model uses: a scored gap and its cost to close is a stronger ask than an unscored tooling wishlist.
Example
Fictional data-infrastructure company Vantark had grown its CI effort from a single competitive slide in the company wiki into a Slack channel where three different people posted competitor screenshots ad hoc, with no shared repository and no consistent distribution to sales. Scoring the four dimensions, PMM found repository and process at Adopting (a Slack channel existed but nothing was structured or searchable), distribution at Ad Hoc (sales heard about competitor moves only when someone happened to mention them in a deal-review call), cross-functional reach at Ad Hoc (product had never seen a single CI finding), and measurement at Ad Hoc (no usage data of any kind). Rep interviews confirmed the gap: 9 of 11 reps said they had no reliable way to find current competitor information and often learned about a competitor's new feature from the prospect, mid-call. PMM prioritised distribution and repository over deeper research output: consolidating the Slack history into a structured, tagged competitor database, and building a lightweight quarterly battlecard refresh cycle distributed through the CRM. Within two quarters, both dimensions moved from Ad Hoc and Adopting to Impacting, and reps reported using the battlecards in 68% of competitive deals, up from an estimated 15% under the old ad hoc Slack system; win rate in deals against the company's top-two named competitors rose from 29% to 38% over the same period.
Pitfalls
- Scoring the function on its best deliverable rather than its typical one. A single excellent battlecard for one competitor does not mean the whole function is Impacting if five other competitors have nothing current. Recovery: score based on coverage across the full competitive set that actually matters in live deals, not the strongest single artefact.
- Investing in a CI tool before the repository and process stage is solid. Buying a competitive-intelligence platform while intel is still scattered across Slack and personal notes produces an expensive tool populated with the same fragmented content it was meant to fix. Recovery: reach Adopting or Impacting on repository and process, a single structured location with a defined intake habit, before evaluating a dedicated platform.
- Treating CI as sales-only and never advancing cross-functional reach. A function that only ever produces sales battlecards plateaus at Impacting and never demonstrates the strategic value that justifies further investment. Recovery: deliberately route at least one CI finding per quarter into a product or planning conversation, and track whether it changed a decision, as the specific evidence needed to advance the cross-functional-reach dimension.
How the ideas connect
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Make it useful
Bring it back to your work.
Name one decision this guide could help you make. Write down the evidence you need, the output you would produce, and how you would know it was useful.
Check your understanding
Practise applying CI Program Maturity Model in five short scenarios.
5 practical scenarios. Choose an answer, explore the reasoning, and revisit the guide whenever you need.
Sources
- Klue, Competitive Enablement Maturity Model (2021), built from the Klue 2021 Competitive Enablement Report survey of over 550 practitioners.
- Luis Madureira, Aleš Popovič, & Mauro Castelli, "Competitive Intelligence Maturity Models: Systematic Review, Unified Model and Implementation Frameworks", Journal of Intelligence Studies in Business, Vol. 13, No. 1 (2023), independent corroboration that the fourteen published CI maturity models it reviewed converge on similar dimensions.
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