---
id: "action-build-exploration-playbook"
type: "action-item"
source_timestamps: ["§ Capturing Time Gains"]
tags: ["marketing-tactics", "content-strategy", "preparedness"]
related: ["concept-curiosity-window", "claim-long-time-gains-enable-deep-exploration"]
action: "Prepare tutorials, sandboxes, and long-form content to deploy immediately when consumers experience unexpected time gains."
outcome: "Converts unexpected consumer downtime into deep understanding and early-stage adoption of complex products."
speakers: ["Guneet Kaur Nagpal", "Amrita Mitra"]
sources: ["commercial"]
sourceVaultSlug: "hbr-seg-commercial"
originDay: 5
articleStem: "hbr-foci-66-customers-willing-try-new-tech"
sourceUrl: "https://hbr.org/2025/11/research-when-are-customers-willing-to-try-a-new-technology"
sourceTitle: "Research: When Are Customers Willing to Try a New Technology?"
---
# Build an Exploration Playbook

**Action:** Proactively create and *stage* resources designed for deep exploration, so they can deploy the instant a longer [[concept-curiosity-window|curiosity window]] opens.

**Assets to prepare:** crisp explainers, tutorials, short guided projects, sandboxes, and long-form content. These must be ready to fire when **macro** [[concept-found-time|time gains]] — weather disruptions, daylight-saving changes, cancelled meetings — open the deeper windows that complex products require (see [[claim-long-time-gains-enable-deep-exploration]]).

**Why now, not later:** you cannot create the time (see [[quote-cannot-create-time]]); the window closes if the right information is missing. Preparedness is the entire lever.

**Outcome:** converts unexpected consumer downtime into deep understanding and early-stage adoption of complex products — the effect demonstrated by [[entity-coursera|Coursera]], [[entity-peloton|Peloton]], and [[entity-nintendo|Animal Crossing]] during the pandemic.

**Related open problem:** predicting *when* individual found time appears, at scale — see [[question-predicting-found-time]].