Media / Publishing case studies

Steal this Anchor the time-to-market claim against an industry baseline. Saying '21 days vs the four-to-five month average for HQ apps' is far more persuasive than just '21 days'.

Steal this The single-experiment anecdote: isolating one experiment with a specific, named outcome (wording change driving 3-year subscription uptake worth over a million pounds) gives the scale claims a believable anchor that vague aggregate numbers cannot provide.

Steal this The squad structure framing: showing exactly how autonomous three-person teams each own an Amplitude dashboard makes the benefit tangible and replicable for any reader running a multi-product org.

Steal this Structure a multi-test story as three standalone mini-cases, each with an explicit hypothesis, so readers can lift and replicate individual experiments rather than treating the whole piece as one undifferentiated success.

Steal this Break the customer workflow into three distinct pain points and solve each one separately, giving each section its own before-and-after beat rather than lumping all benefits into a single block.

Steal this The Jira dismissal quote ('Nobody likes Jira. It's hard to use, it's slow, and there's too many features.') earns attention without requiring a formal competitive-switch framing. A single blunt employee quote can do competitive positioning work implicitly.

Steal this Publish the honest tension between two metrics: CTR doubled but actual sign-ups rose only 5%, then use that gap to set up the next round of tests. This makes the case study feel like a real learning document rather than a victory lap.

Steal this Isolate a single visual variable in the test, then frame the entire narrative around proving or disproving that one hypothesis. It keeps the story tight and makes the result credible.

Steal this The three-phase journey structure (before the trip, during the trip, after the trip) maps the product naturally onto the customer's workflow without forcing a features list.

Steal this Break the story into named workflow stages rather than generic before/after sections. Each stage gets its own mini before-state and resolution, which lets a reader self-identify with the part of the problem most relevant to them.

Steal this Anchor the result with both the baseline and the outcome figure, not just the percentage lift. Stating '38% to 50%' is far more credible than '+12%' alone.

Steal this The 'tribe homepage within a shared workspace' framing solves the autonomy-versus-alignment tension in one sentence and gives the reader an immediately copyable structural idea.

Steal this Name the failed prior vendor and state specifically what it could not do. It makes the switch feel earned rather than arbitrary and sharpens the before-state without needing extra word count.

Steal this The staffing-cost framing: expressing ROI as headcount not hired rather than dollars saved makes the efficiency claim tangible and impossible to dismiss as a soft benefit.

Steal this The soap analogy in the customer quote makes a dry technical practice (A/B testing) instantly relatable. Soliciting or surfacing a punchy analogy quote is worth replicating.

Steal this The 'deep sigh' test: frame agent adoption as a personal audit of recurring tasks that trigger frustration, then ask whether the task is really synthesis or context-gathering that AI can own. It gives readers a portable decision rule they can apply immediately.

Steal this Run the new vendor concurrently during the trial so a real production failure becomes the final proof of concept, turning a crisis into a conversion story.

Steal this Filter findings before they hit the developer's workflow: only create tickets for issues that have a remediation available, so engineers see signal, not noise.

Steal this Anchor the migration section around what did NOT break: payment volume actually increased during The Spectator's cutover, which turns a typically dry logistics story into proof of execution quality.

Steal this The industry-peer benchmark (17% higher authorization rate than peers) turns an internal metric into an external proof point, giving the reader a reference that makes the number meaningful without needing a named competitor.

Steal this Quantify the before-state with a specific baseline metric (3% of traffic logged in) so the after-state number (10x registrations) lands with real weight rather than floating as a vague improvement.

Steal this Anchor the story in one named practitioner's progression through multiple small wins rather than a single before-and-after, so each new use case reinforces credibility for the next.

Steal this Pair behavioral analytics with an in-app guidance tool, then close the loop by using the analytics platform to measure whether the guided flows actually changed usage. This three-step sequence (observe, nudge, measure) is concrete enough to replicate and makes the mechanism unusually clear for a short case study.

Steal this Pair a cost-reduction headline with a growth metric to show that efficiency gains came without sacrificing scale, which neutralises the 'did you cut too deep?' objection.

Steal this The layered filtering structure (version, region, environment, platform) inside team-owned dashboards lets each squad watch only their slice of the system, which is a replicable dashboard architecture worth borrowing for any multi-platform product org.

Steal this Open with a named executive calling the before-state a 'black hole' and then close the loop with exact metrics for every dimension that was previously invisible. It turns a generic transformation story into a before-and-after audit.

Steal this The three-move pattern summary at the end distills the entire architecture into copyable principles (sweep not timer, durable steps that name their own failures, guarantees in the database not the workflow) and ties each move back to a product feature, turning a case study close into a genuine call to action with substance behind it.

Steal this Use a time-pressure scenario (game due in 12 hours, volume fills up) to show why a technical feature matters in practice. Concrete stakes make an abstract capability real.

Steal this Show the multi-step delegation sequence: teach the tool your conventions first, then let it write directly, then automate the full workflow. Breaking the automation into three distinct phases makes the mechanism credible and repeatable for readers.

Steal this Stack three headline metrics at the top of the page before the narrative begins. Readers self-qualify immediately and the story earns the right to explain how.

Steal this Use a real product launch or external event as the stress-test frame. It gives the before/after a hard deadline that makes efficiency gains feel dramatic rather than incremental.

Steal this The two-phase test design that compares single-agent versus multi-agent results side by side. Reporting both phases separately before combining them into a 12-week aggregate lets the story show incremental improvement rather than a single before-and-after, which makes the causation argument much stronger.

Steal this Name the displaced tool and list exactly what maintaining it cost in developer time before introducing the replacement. It makes the before-state vivid without needing a dollar figure.

Steal this Use a negative metric as the north star: 'those emails stopped' is more vivid than any throughput statistic and costs nothing to verify.

Steal this The 'fleet growth over time' structure: anchoring the story to a cluster count that readers can track across years (0 in 2020, 100+ by 2022, 380+ today) turns an abstract platform story into a concrete, compounding proof point.

Steal this Open with a specific human moment that would have been impossible under the old system, then reveal the metric that made that moment possible. It reframes a deflection rate as a story about presence, not productivity.

Steal this Anchor the trigger to a named public event (a national election) rather than a vague 'we were growing fast' setup. It makes the before-state immediately credible to any reader and removes the need for extensive scene-setting.

Steal this Use a single high-stakes external event (the Paris Olympics) as the proof-of-scale moment that validates an entire platform rollout, giving readers a concrete before-and-after comparison (Tokyo vs. Paris) rather than abstract efficiency claims.

Steal this Pairing a no-message holdout control group with the reported uplift metric, rather than a before/after comparison, makes the causal claim much cleaner and harder to dismiss.

Steal this The 'test with a real problem' framing: the team ran a single timed proof-of-concept against a known six-hour task before committing to broader adoption. This gives the case study a concrete origin moment and gives readers a replicable first step.

Steal this Lead with the operational constraint (fully remote, multiple formats, tight deadlines) before introducing the product, so readers self-select and the solution feels earned rather than advertised.

Steal this The specific failure mode as the opening hook. Describing folders that 'said they were synced when they weren't' and files going missing is far more credible than a generic pain statement, and it makes the resolution feel earned.

Steal this Anchor the story to a named, public external event (here, Barbenheimer weekend) so the stakes are pre-validated and require no explanation.

Steal this The case study links each infrastructure decision directly to what it unlocked next, showing a clear cause-and-effect chain from cloud migration to managed service to AI product launch. This staged narrative makes the vendor feel like a long-term platform partner rather than a point solution.

Steal this Use a named, time-bound live event (Apple Watch announcement) as the crucible that proves the capability works under pressure. It converts a generic 'we handle traffic spikes' claim into a specific, verifiable stress test.

Steal this Use a specific, counterintuitive data finding (advice-column readers are loyal but low-monetizing) to show the vendor's analytical depth rather than just citing aggregate results.

Steal this Anchor the cost savings to real dollar figures across multiple lines (shipping, hardware, IT staffing) rather than a single percentage. Multiple concrete numbers make the efficiency case harder to dismiss.

Steal this The mirror framing: reflecting the customer's own public mission ('breaking down barriers for users') back onto their internal problem makes the vendor feel like a logical extension of the customer's identity, not an outside tool.

Steal this Quoting two separate buyers with distinct jobs, the travel director and the sustainability head, shows value across functions without making the story feel padded.

Steal this Lead with a specific, physical scene (editor on a plane, laptop stowed) that makes the product benefit tangible before any metrics appear.

Steal this Anchor one result to a before-and-after pair with real units (90 seconds to 30 seconds) so readers can feel the magnitude without doing any math.

Steal this Lead with the specific operational pain (30 events, 30 separate accounts, one shared short code as a single point of failure) before introducing any solution. That concrete before-state makes the consolidation payoff land immediately.

Steal this Anchor the automation welcome series as the hero metric. Comparing new-audience open rates directly against established legacy lists makes the performance concrete and credible without needing an external benchmark.

Steal this The three-version process narrative builds trust by showing honest failure and iteration before the vendor appears, making the eventual solution feel like a logical conclusion rather than a sales pitch.

Steal this The immovable deadline as narrative spine. Anchoring the story to November 8 creates genuine tension without needing a dramatic failure in the before-state, and it makes the smooth outcome feel earned rather than routine.

Steal this The framing of a complex post-acquisition migration as a trust exercise rather than a technical project. It reframes a backend billing operation as a customer relationship story, which is more compelling and more memorable.

Steal this Acknowledge the transition cost before claiming the win. Capcom names the temporary workload increase and learning curve explicitly, which makes the downstream efficiency numbers far more believable.

Steal this The metropolitan statistical area tagging system built on the Mailchimp API is a concrete, replicable mechanism that turns a generic geographic feature into precision sponsorship inventory. Showing exactly how a small team engineered a custom segmentation layer makes the capability feel real and earned.

Steal this Name every displaced competitor explicitly and explain why each one lost on a specific dimension. Wargaming's story lists Hadoop, BigQuery, and Amazon Athena with a distinct failure reason for each, which makes the vendor's win feel earned rather than generic.

Steal this The explicit test narrative. The team benchmarked multiple services on synchronization speed and streaming latency before choosing Dropbox. Naming that evaluation process gives the vendor-selection credibility without fabricating a competitive teardown.

Steal this Benchmarking results against the incumbent ('40% higher than their previous chatbot') instead of against nothing — makes the number mean something.