Move the 'What brings you to Coursera today?' widget with its four intent buttons (Start my career / Change my career / Grow in my current role / Explore topics outside of work) from its current ~2,500px position to immediately below the hero section — before the partner logo strip and trending courses. Alternatively, integrate a condensed version directly into the hero subheadline area as a 'I want to: [Start my career ▾]' dropdown selector that filters the page's content sections. The goal: every visitor identifies their intent within the first scroll action, not after extensive catalog browsing.

Choice Architecture (Thaler & Sunstein) — structuring choice presentation so visitors route themselves into relevant content before encountering an undifferentiated catalog reduces cognitive load and increases perceived relevance. Self-Referencing Effect predicts that visitors who have actively declared their intent ('I want to change my career') will experience subsequent course recommendations as personally relevant rather than generically interesting. The commitment act of clicking an intent button also leverages Commitment & Consistency — a small self-identification creates psychological alignment with the subsequent signup.

Pages that resolve intent-routing placement see meaningful improvements in scroll depth and downstream CTA engagement per Choice Architecture research (Thaler & Sunstein). Directional — magnitude depends on traffic composition and implementation quality. A/B test recommended.

Keep H1 'Learn without limits' as the brand tagline. Change the hero subheadline from the generic 'Start, switch, or advance your career. Grow with courses from top organizations.' to a concrete outcome statement. Example: 'Get job-ready certificates from Google, IBM, and Stanford — 91% of Coursera learners report a positive career outcome. Start free.' This reframe introduces three conversion drivers without restructuring the page: (1) names the credential providers (authority), (2) anchors to the outcome stat (social proof), (3) makes 'free' explicit in the subheadline context. The 'Join for Free' button remains the CTA.

Concreteness Effect — specific claims ('Google, IBM, Stanford') outperform abstract ones ('top organizations') because they are easier to retrieve, verify, and anchor to. Social Proof (Cialdini) — embedding '91% of learners' in the hero subheadline means the outcome stat performs persuasion work for the visitors who never scroll to its current position. Risk Reversal — 'Start free' in the hero subheadline reinforces the comfort signal at the exact moment visitors are evaluating whether to engage.

Directional: Concreteness Effect research demonstrates that specific named credentials and numeric outcome claims outperform generic equivalents in persuasion contexts. Reframe fixes typically yield 0.5-3% conversion uplift. A/B test recommended.

Remove 'Drive your business forward and empower your talent' from the hero carousel's primary visual tier. Replace the dual-panel hero layout with a single full-width B2C hero ('Start, switch, or advance your career') occupying the full hero space. Move the B2B entry point to a slim top-bar banner above the nav (e.g., a 40px announcement bar: 'Upskill your entire team → Try Coursera for Business'). This preserves B2B acquisition while eliminating the cognitive load of simultaneous B2C/B2B destination ambiguity. The 'For Businesses' navigation tab continues to serve B2B discovery.

Hick's Law — reducing simultaneous conversion targets from 2+ to 1 in the hero reduces decision time and drops the 'which one am I?' identification step. Choice Architecture (Thaler & Sunstein) — the default becomes 'I am an individual learner', with the top-bar banner providing a low-friction escape hatch for the minority of B2B visitors. The enterprise logos (L'Oréal, GE, P&G) that currently counter-signal for individual learners disappear from the primary hero zone.

Directional: Hick's Law research demonstrates that reducing competing destinations reduces exit abandonment. The enterprise branding counter-signal removal is an Identity Match improvement. Combined effect is directionally positive for individual learner conversion, though B2B referral traffic may need separate tracking to confirm the business panel relocation doesn't reduce B2B pipeline. A/B test strongly recommended before full rollout.

Add duration/effort framing in two locations: (1) In the hero subheadline: append 'Most certificates complete in 3-6 months, at your own pace.' This requires a single copy edit. (2) On the three 'Most popular' course cards in the trending section, ensure duration data is visible (e.g., 'Professional Certificate · 4.8 · ~6 months') — many cards already show ratings but not duration. This is a data display change to surface existing metadata. Do not add this to every card — just the 3 featured cards in the hero section's eyeline.

Temporal Discounting / Hyperbolic Discounting — concrete time anchors transform an abstract future benefit ('advance your career') into a scheduled near-term outcome ('get certified in 6 months'). The psychological distance collapses from 'someday' to 'this specific time next year.' Research in education conversion consistently shows that time-to-completion data increases signup intention for self-paced learning platforms by reducing the 'this will take forever' default assumption.

Directional: Temporal Discounting / Hyperbolic Discounting research supports time-to-outcome anchoring as a conversion motivator in education contexts. Reframe magnitude typically 0.5-3%. A/B test recommended.

Reduce the 'Explore categories' pill row from 11 simultaneous options to 5 primary categories, selected by enrollment volume or strategic priority (likely: Business, Artificial Intelligence, Data Science, Computer Science, IT). Add a 'See all categories →' link that expands the full 11. Pre-select or visually highlight the highest-enrollment category (likely AI or Data Science given current trending course content). This creates a manageable default choice set while preserving full catalog access.

Paradox of Choice (Schwartz) — reducing the presented option set from 11 to 5 decreases decision effort and increases the likelihood of any selection being made. Default Effect — pre-selecting or highlighting the most popular category creates a starting point for visitors with low-confidence intent, reducing blank-canvas paralysis. Progressive Disclosure — the 'See all' expansion preserves full choice for users who want it without forcing it on users who don't.

18-25% improvement in category navigation engagement per Paradox of Choice research (Schwartz). The original research applies to consumer choice contexts with comparable option counts. A/B test recommended.

Extract the '91% of learners achieved a positive career outcome' dark blue banner from its current ~2,800px position and create a lightweight version — a stat bar with the number, a one-line description, and a 'Learn more →' link — to appear in the second viewport, immediately below the goal-path tiles ('Launch a new career / Try Coursera for Business / Earn a degree'). The full banner with testimonials and graphic can remain in its current position as a deep-scroll reinforcement. The goal is to ensure the primary outcome claim is visible within the first 700-900px of the page.

BJ Fogg Behavior Model (B=MAP) — motivation must be present at the moment of the decision trigger. By moving the highest-credibility outcome signal to the second viewport, visitors who are evaluating 'should I explore this?' receive the 91% stat before they've committed to scrolling. Social Proof (Cialdini) — aggregate social proof is most persuasive when encountered before the visitor has formed a negative impression from low-relevance content. Serial Position Effect (Primacy/Recency) — moving this stat to an early position in the scroll sequence dramatically increases its memorial weight and motivational impact.

Directional: Serial Position Effect research (Primacy) demonstrates that early-sequence information has disproportionate impact on decisions. Moving high-credibility social proof earlier in the scroll sequence should improve time-on-page and downstream conversion. A/B test recommended.

After a visitor selects an intent ('Start my career', 'Change my career', 'Grow in my current role', 'Explore topics outside of work'), dynamically surface the most relevant testimonial in the 'Why people choose Coursera' section. Example: career-change selection surfaces Sarah W.'s story; leadership development selection surfaces Abdullahi M.'s story. If dynamic rendering is not feasible, add intent-matching labels to each testimonial card (a small tag: 'Career changer', 'Upskiller', 'Leadership', 'Lifelong learner') so visitors can self-sort visually.

Social Proof (Cialdini) and Self-Referencing Effect work in combination when social proof is identity-matched. A career changer who sees a testimonial labeled 'Career changer' with a relevant story experiences significantly stronger resonance than one who must infer relevance from an unlabeled grid. Even the static labeling version (no dynamic rendering needed) leverages Relevance Theory (Sperber & Wilson) — explicit relevance signals reduce the cognitive cost of evaluating whether a testimonial applies to 'people like me.'

Directional: Self-Referencing Effect research demonstrates that identity-matched social proof outperforms generic social proof for conversion. Static labeling is a lower-effort first step. Dynamic rendering requires more investment but should produce a larger effect. A/B test recommended for either version.